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PLUME AND PERFORMANCE MEASUREMENTS ON A PLUG NOZZLE FOR SUPERSONIC BUSINESS JET APPLICATIONS
A Thesis
Submitted to the Faculty
of
Purdue University
by
Alexander Michael Sandroni
In Partial Fulfillment of the
Requirements for the Degree
of
Master of Science in Aeronautics and Astronautics
May 2009
Purdue University
West Lafayette, Indiana
UMI Number: 1469911
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ACKNOWLEDGMENTS
Thanks are in order for a number of people:
First, I cannot thank Scott Meyer and Yu Matsutomi enough for their constant mentoring
in all aspects of being an engineer. Without them, my time at Purdue would have been
much less fulfilling.
Thanks are also due to Dr. Steve Heister for his constant guidance, wisdom, and most
importantly, patience over the past two years.
Rob McGuire deserves credit for a myriad of things. Simply enough, the BANR would
not be operational if it weren’t for Rob’s expertise in making hardware and fixing our
mistakes. His craftsmanship is second to none. Michelle Kidd and Joan Jackson were
also instrumental to the project’s success.
Three fellow graduate students also deserve special recognition. Thanks to Adam Trebs
for allowing me to ride his coattails, Chase Cummings for being so capable as to need no
coattails whatsoever, and John Tapee for being the catalyst needed to make this work
what it is.
Finally, thanks to the United States Navy for giving me the opportunity to take advantage
of one of the best universities with the best people in the field.
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TABLE OF CONTENTS
Page
LIST OF TABLES ............................................................................................................. vi
LIST OF FIGURES .......................................................................................................... vii
ABSTRACT ....................................................................................................................... xi
CHAPTER 1. INTRODUCTION ........................................................................................1
1.1. Motivation and Requirements for a Supersonic Propulsion System ............................1
1.2. Candidate Nozzle Configurations .................................................................................3
1.2.1. Forced Mixer-Ejector Nozzles ........................................................................... 4
1.2.2. Center-Body Plug Nozzles ............................................................................... 13
1.3. Mixing Phenomena and Noise Generation .................................................................16
1.3.1. Exhaust Plume Mixing ..................................................................................... 17
1.3.2. Noise Sources ................................................................................................... 18
1.3.3. Noise Mitigation ............................................................................................... 19
1.4. Objectives for Present Work .......................................................................................20
1.5. Initial and Follow-On Investigations ..........................................................................21
CHAPTER 2. FACILITY AND TEST ARTICLE DEVELOPMENT .............................22
2.1. BANR Facility Overview ...........................................................................................23
2.1.1. Core and Bypass Streams ................................................................................. 24
2.1.2. Operational Limits ........................................................................................... 27
2.2. Rig Operations ............................................................................................................29
2.2.1. Code for Predicting and Setting Conditions ..................................................... 29
2.3. Pressure Instrumentation .............................................................................................35
2.4. Traversing Rake System for Plume Diagnostics ........................................................40
2.4.1. Rake Design ..................................................................................................... 42
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Page
2.4.2. Traversing System Design ............................................................................... 45
2.4.3. Pressure Measurement Performance ................................................................ 53
2.4.4. Motion Control Program .................................................................................. 59
2.4.5. Other Uses ........................................................................................................ 60
2.5. Force Measurement .....................................................................................................60
2.5.1. Resolving Forces and Moments ....................................................................... 61
2.5.2. Load Cell and Data Acquisition Calibration .................................................... 66
2.5.3. Vertical Thrust Anomaly .................................................................................. 67
CHAPTER 3. RESULTS ...................................................................................................72
3.1. Facility Performance ...................................................................................................73
3.1.1. Feed Pressures, Temperatures, and Mass Flows .............................................. 73
3.1.2. Charging Station Conditions ............................................................................ 81
3.1.3. Forces ............................................................................................................... 89
3.1.4. Correlation of Desired Conditions with Actual Conditions ............................. 94
3.2. Nozzle Performance Results .......................................................................................96
3.2.1. Axial Thrust ..................................................................................................... 97
3.2.2. Off-Axial Forces .............................................................................................. 97
3.2.3. Efficiency and Discharge Coefficient Assuming Unmixed Streams ............... 99
3.2.4. Efficiency and Discharge Coefficient Assuming Perfectly Mixed Streams .. 111
3.3. Plume Rake Data .......................................................................................................115
3.3.1. Noise Concerns .............................................................................................. 116
3.3.2. Plume Maps .................................................................................................... 117
CHAPTER 4. CONCLUSIONS AND RECOMMENDATIONS FOR FUTURE
WORK .............................................................................................................................122
4.1. Concluding Remarks on Plug Nozzle Investigation .................................................122
4.2. Future Work ..............................................................................................................123
4.3. Final Thoughts and Lessons Learned .......................................................................124
LIST OF REFERENCES .................................................................................................127
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Page
APPENDICES
Appendix A. Rig Setting Code ........................................................................................132
Appendix B. Plume Data Reduction Code ......................................................................138
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LIST OF TABLES
Table Page
Table 2-1 TMS Load Specifications ................................................................................. 61
Table 3-1 Cold Flow Test Condition Comparison ............................................................ 95
Table 3-2 Hot Fire Test Condition Comparison ............................................................... 95
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LIST OF FIGURES
Figure Page
Figure 1-1 Gulfstream SSBJ Concept Aircraft with Nose Boom Extended ....................... 2
Figure 1-2 Plug Nozzle Model with Full Contoured Center-body and Shroud .................. 4
Figure 1-3 Nozzle with Confluent Splitter.......................................................................... 5
Figure 1-4 Nozzle with Forced Mixer ................................................................................ 6
Figure 1-5 Olympus 593 Engine Nozzle ............................................................................ 7
Figure 1-6 Lobed Mixers with No Scalloping, Moderate Scalloping, and Deep Scalloping
.................................................................................................................................... 11
Figure 1-7 Example of a Full Scale Nozzle Utilizing Chevrons ...................................... 12
Figure 1-8 Plug Nozzle Flowfield Phenomena ................................................................. 14
Figure 1-9 Gap in Plug Nozzle Literature......................................................................... 16
Figure 2-1 The Bi-Annular Nozzle Rig, BANR ............................................................... 23
Figure 2-2 Bypass Air Circuit ........................................................................................... 24
Figure 2-3 Combustor and Torch Ignitor .......................................................................... 25
Figure 2-4 Charging Station.............................................................................................. 26
Figure 2-5 Aft Interior View of Charging Station ............................................................ 27
Figure 2-6 Pressure Rating of Combustor ........................................................................ 28
Figure 2-7 Predictive Program Functional Schematic ...................................................... 29
Figure 2-8 Sample Output of Required Rig Settings ........................................................ 33
Figure 2-9 ESP Module Suite ........................................................................................... 36
Figure 2-10 Core Charging Station Rake Drawing ........................................................... 37
Figure 2-11 Bypass Charging Station Rake Drawing ....................................................... 37
Figure 2-12 Photograph of Bypass and Core Charging Station Rakes ............................. 38
Figure 2-13 Plug and Shroud Tap Locations .................................................................... 39
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Figure Page
Figure 2-14 HFJER Plume Traversing System ................................................................. 41
Figure 2-15 Plume Rake Traverse System........................................................................ 42
Figure 2-16 Plume Rake Model ........................................................................................ 44
Figure 2-17 Pertinent Rake Dimensions in Inches ........................................................... 44
Figure 2-18 Basic Frame of Plume Traverse System ....................................................... 46
Figure 2-19 Parker HD-Series Actuator Used in Actuator System .................................. 47
Figure 2-20 Rake Free Body Diagram with Distributed Drag Load and Reaction Loads 48
Figure 2-21 Drag on Rake vs. Nozzle Pressure Ratio ...................................................... 49
Figure 2-22 Jackscrew Assembly for Providing Vertical Motion .................................... 50
Figure 2-23 Fully Assembled Plume Rake and Traverse System ..................................... 50
Figure 2-24 Plume Rake Control System Architecture .................................................... 51
Figure 2-25 Schematic of Pressure Response Problem .................................................... 54
Figure 2-26 Free Body Diagram of the Fluid Element ..................................................... 55
Figure 2-27 Frequency Response vs. Length for 0.125” Tubing ...................................... 59
Figure 2-28 Live Ring with Sign Convention Used ......................................................... 62
Figure 2-29 Live Ring Free Body Diagram with Measurement Load Cells Depicted ..... 63
Figure 2-30 Free Body Diagram of Force Measurement System with Calibration Loads
Depicted ..................................................................................................................... 65
Figure 2-31 Bypass Steerhorn and its Deflection While Pressurized ............................... 68
Figure 2-32 Vertical Force Generated by Bypass Horn Pressurization ............................ 69
Figure 2-33 Steerhorn Flange Supports ............................................................................ 70
Figure 2-34 Vertical Force Transmitted to Rig After Supports Installed ......................... 70
Figure 3-1 Gulfstream Plug Nozzle .................................................................................. 73
Figure 3-2 Time History of Feed Pressures ...................................................................... 74
Figure 3-3 Time History of Torch Ignitor Chamber Pressure .......................................... 75
Figure 3-4 Time History of Fuel System Pressures .......................................................... 76
Figure 3-5 Air Supply Temperature During A Typical Test ............................................ 77
Figure 3-6 Frosted Shroud and Rig with Hot Plug ........................................................... 78
Figure 3-7 Time History of Air Flow Rates from Turbine Flowmeters and Orifices ....... 79
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Figure Page
Figure 3-8 Core Spool Thermal Growth and Resulting Bypass Orifice Area Variation .. 80
Figure 3-9 Charging Station Quadrant Definition, Looking Upstream ............................ 81
Figure 3-10 Time History of Bypass Rake Pressures, Quadrant I .................................... 82
Figure 3-11 Time History of Bypass Rake Pressures-Quadrant II ................................... 82
Figure 3-12 Time History of Bypass Rake Pressures-Quadrant III .................................. 83
Figure 3-13 Time History of Bypass Rake Pressures-Quadrant IV .................................. 83
Figure 3-14 Time History of Core Rake Pressures-Quadrant I ........................................ 84
Figure 3-15 Time History of Core Rake Pressures-Quadrant II ....................................... 84
Figure 3-16 Time History of Core Rake Pressures-Quadrant III ...................................... 85
Figure 3-17 Time History of Core Rake Pressures-Quadrant IV ..................................... 85
Figure 3-18 Time History of All Charging Station Rakes-CR1 is Core Rake Quadrant I 86
Figure 3-19 Time History of Bypass Stream Total Temperature ..................................... 87
Figure 3-20 Time History of Core Stream Total Temperature ......................................... 88
Figure 3-21 Time History of Core Temperatures: Azimuthal Variation .......................... 89
Figure 3-22 Time History of Forces ................................................................................. 90
Figure 3-23 Time History of Combustor Pressure for Hot-Fire Test ............................... 91
Figure 3-24 Time History of Combustor Pressure for Cold Flow Test ............................ 92
Figure 3-25 Low Frequency Content of Axial Load Cells ............................................... 93
Figure 3-26 Low Frequency Content of Off-Axial Load Cells ........................................ 94
Figure 3-27 Axial Thrust vs. NPR for All Tests ............................................................... 97
Figure 3-28 Side and Vertical Force vs. NPR for All Tests ............................................. 98
Figure 3-29 Off-Axial Forces as a Percentage of Axial Thrust for All Tests ................... 99
Figure 3-30 Hot Stream Properties ................................................................................. 100
Figure 3-31 Nozzle Thrust Efficiency vs. NPR for All Tests Assuming Unmixed Flow
.................................................................................................................................. 102
Figure 3-32 Schlieren Image of NPR = 2.59 .................................................................. 103
Figure 3-33 Schlieren Image of NPR = 5.01 .................................................................. 104
Figure 3-34 Nozzle Resultant Force Efficiency vs. NPR for All Tests Assuming Unmixed
Flow .......................................................................................................................... 105
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Figure Page
Figure 3-35 Notional Misalignment of Total Force ........................................................ 107
Figure 3-36 Dual Streams Sharing a Common Throat and Static Pressure .................... 108
Figure 3-37 Discharge Coefficient vs. NPR Assuming Unmixed Streams .................... 110
Figure 3-38 Thrust Efficiency vs. NPR for All Tests Assuming Perfectly Mixed Flow 112
Figure 3-39 Ratio of Measured Thrust Coefficient to Theoretical Thrust Coefficient ... 113
Figure 3-40 Discharge Coefficients ................................................................................ 115
Figure 3-41 Electrical Noise Induced by Stepper Motors and Drives on a Plume
Temperature Measurement ....................................................................................... 116
Figure 3-42 Magnetic Ferrite and Installation ................................................................ 117
Figure 3-43 2-D Total Temperature Map of Nozzle Exit Plane ..................................... 118
Figure 3-44 Total Temperature in Core Charging Station During Plume Mapping ....... 119
Figure 3-45 2-D Total Pressure Map of Nozzle Exit Plane ............................................ 120
Figure 3-46 Charging Station Total Pressures During Plume Mapping ......................... 121
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ABSTRACT
Sandroni, Alexander Michael. M.S.A.A.E., Purdue University, May, 2009. Plume and Performance Measurements on a Plug Nozzle for Supersonic Business Jet Applications. Major Professor: Stephen Heister.
The motivation for a supersonic propulsion system is primarily the faster travel
times that such a system would enable, but several conflicting requirements must be
satisfied in order for a nozzle configuration to be viable. In short, any candidate nozzle
configuration must be capable of generating high thrust levels across a large flight
envelope, and must also effectively integrate into a supersonic airframe. However, noise
requirements for operating over land and at commercial airports present a significant
challenge to designing an acceptable nozzle.
A facility has been designed to evaluate the performance of supersonic propulsion
nozzle concepts. The facility has been made operational and a plug nozzle has been
tested at a wide range of conditions. The specific tools developed for the facility include
a suite of pressure instrumentation, a traversing rake system for measuring temperatures
and pressures in the exhaust plume, and a six-axis force measurement system.
The facility has demonstrated reliable and consistent operation at all the test
conditions investigated. In terms of facility performance, the conditions entering the test
article were seen to be uniform in each stream at the test article interface. Also, the force
data from the plug nozzle shows the expected trends. The efficiency and thrust
coefficient of the plug nozzle is evaluated, and it is seen that the formulation of thrust
coefficient typically used in rocket applications is more appropriate for this particular
nozzle. Also, the discharge coefficient is evaluated and seen to have the expected trend,
although the actual values are somewhat low. Finally, plume data is shown to illustrate
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that the plume rake traversing system is functional, as well as to verify the mixing
assumptions used in the analysis of the nozzle.
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CHAPTER 1. INTRODUCTION
1.1. Motivation and Requirements for a Supersonic Propulsion System
Perhaps the main motivation for consideration of a supersonic business jet (SSBJ)
lies in the fact that the cruise speed of this platform would be approximately twice that of
conventional business jets and airliners. To put this speed increase in perspective, it
could enable an individual to leave New York at 8 am, spend a full eight hour workday in
California, and return to New York by 10 pm. Additionally, the increased speed would
allow a traveler to be anywhere in the world in 10 hours with a single stop1. While the
time value of such a platform is obvious, the design of a viable SSBJ presents numerous
challenges in the areas of aerodynamics, airframe integration, and the propulsion system.
Several general requirements must be met in order for an SSBJ to be a viable option for
commercial air transportation. First, the airframe and propulsion system must be
effectively integrated to create a configuration suitable for supersonic flight.
Additionally, the propulsion system must be both capable and efficient across a large
flight envelope. Finally, any aircraft must satisfy Federal Aviation Administration (FAA)
noise regulations, including generating acceptable noise levels at takeoff and approach,
and the mitigation of any sonic booms created during supersonic cruise.
Conners et al2 describes the integration challenges for a Quiet Supersonic Jet.
From an overall airframe standpoint, the most challenging aspect are the shockwaves
generated as the aircraft approaches the local sonic velocity and then continues to
accelerate until reaching its target supersonic cruise speed. Historically, supersonic flight
of aircraft has been restricted to take place over unpopulated regions of land or water.
The Concorde was able to operate under these restrictions, operating at supersonic
velocities only while on the trans-Atlantic portion of its flight as well as operating under
less stringent noise requirements. In order to mitigate the issue of sonic boom noise,
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techniques of airframe shaping and airframe morphing will be used to reduce the shock
strength during supersonic flight. In the Gulfstream model shown in Figure 1-1, the
aircraft is optimally shaped to reduce the strength of shock waves created during
supersonic flight. Additionally, the aircraft will utilize Quiet Spike™ technology, using
an extendible nose boom to extend in front of the aircraft in order to create weak oblique
shocks instead of strong oblique or normal shock waves. Ideally, these measures will
overcome aerodynamic and regulatory hurdles to a practical SSBJ.
Figure 1-1 Gulfstream SSBJ Concept Aircraft with Nose Boom Extended2
The propulsion system of an SSBJ is subject to various conflicting requirements
for performance. The need to propel the aircraft to high speeds and maintain these for
extended periods implies a system with high thrust capability. However, in direct
competition with the need for thrust is the requirement that the noise generated by the
propulsion system remain below acceptable levels for commercial use. Traditionally, a
high thrust capability might imply a high-bypass turbofan with a large-diameter fan, or
alternatively a low-bypass turbofan or turbojet with a higher jet exit velocity. However,
in an SSBJ application, both these options are unattractive for several reasons. A
subsonic aircraft is able to accept lower specific thrust engines such as high-bypass
turbofans in order to minimize takeoff noise and fuel consumption. While this propulsion
system provides high levels of thrust, integrating a large fan into an aircraft designed for
supersonic flight proves to be difficult, if not impossible because of the greater
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aerodynamic and installation penalties at transonic and supersonic speeds. Increasing the
jet velocity can potentially generate the required level of thrust, but it also significantly
increases noise and fuel consumption. Unfortunately, because the noise generated at
takeoff and power cutback is an equally important issue, any system with a relatively
high exit velocity for these phases will not be viable for an SSBJ application.
Specifically, any viable nozzle must generate exhaust velocities on the order of 2000 feet
per second during cruise, and reduce this by approximately half to meet noise
requirements for operating in the vicinity of commercial airports.
These conflicting requirements on the propulsion system underscore the general
design guidelines that must be followed. First, the system must be reasonably sized in
order to integrate effectively into a supersonic airframe. Second, the propulsion system
must generate high levels of thrust across the entire flight envelope at a variety of nozzle
pressure ratios (NPRs). Third, the propulsion system must be “quiet” enough to avoid
negatively impacting the overall perceived noise level of the aircraft in flight, and to
satisfy applicable noise regulations.
1.2. Candidate Nozzle Configurations
The demanding requirements placed on the propulsion system of an SSBJ require
a number of compromises to be made between size, weight, complexity, and
performance. In order to achieve maximum thrust performance at cruise, the nozzle must
be designed to the ideal jet expansion ratio expected in the cruise configuration.
However, after the design is optimized for the cruise condition, it must also generate
sufficient thrust at takeoff and other regimes where the NPR might be only twenty
percent of the design cruise NPR. In all cases, any negative effects on the overall jet
noise level must be minimized. For SSBJ applications, two main types of nozzles have
been identified as viable candidates. Whurr3 describes several advanced nozzle concepts
including the forced mixer-ejector, which uses a shaped exhaust splitter to mix core and
fan engine streams and an ejector to entrain ambient air.
The other viable nozzle concept is the center-body plug nozzle, which uses a
contoured center body as an expansion surface in place of the traditional converging
4
nozzle walls. Figure 1-2 shows a plug nozzle drawn by John Tapee, demonstrating a full
length center-body contour surrounded by a cylindrical shroud.
Figure 1-2 Plug Nozzle Model with Full Contoured Center-body and Shroud
Both concepts have advantages and disadvantages in terms of thrust performance, noise
generation, and aircraft integration. While the mixer-ejector type nozzle has been the
subject of significant work in the past, the plug nozzle also offers several unique
advantages as far as pressure matching and aircraft integration. In either case, the
particular nozzle type chosen will depend on acoustic and aerodynamic considerations as
well as the actual vehicle application.
1.2.1. Forced Mixer-Ejector Nozzles
Forced mixer-ejector nozzles satisfy the requirements of an SSBJ nozzle through
several different mechanisms. First, for a conventional nozzle to generate the required
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thrust, a convergent-divergent (CD) design must be used in order to increase the exhaust
velocity above Mach 1, which is the maximum for a conventional business jet or airliner
operating with a converging-only nozzle. Second, while the exhaust velocity must be
relatively high at cruise, it must be significantly lower at takeoff to mitigate noise. Third,
the exit area must be varied to provide pressure matching, maximizing thrust at all flight
conditions and minimizing the existence of shocks that exist in improperly expanded
supersonic flows.
A forced mixer-ejector nozzle primarily uses area variation and mixing to achieve
the desired performance. First, the mixing between the core stream and the fan stream is
enhanced by a forced mixer. The two flows mix inside the engine duct, and what results
is an exhaust jet of increased temperature and velocity uniformity. Additionally, the
detrimental noise effects from the high-speed and high temperature core stream are
reduced more than if the two streams were simply separated by a confluent splitter.
Figure 1-3 shows a sample convergent nozzle with a confluent splitter and Figure 1-4
shows the same nozzle with a forced mixer.
Figure 1-3 Nozzle with Confluent Splitter4
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Figure 1-4 Nozzle with Forced Mixer4
Ideally, a properly designed mixer will significantly enhance mixing while incurring
minimal losses. This increased uniformity significantly reduces jet mixing noise and
improves specific fuel consumption. The second feature of the nozzle is an ejector that
entrains ambient air into the exhaust flow. For an SSBJ, these ejector “buckets” perform
two functions. With the upstream edges pivoted outwards, low speed, low temperature
ambient air is entrained into the jet exhaust. The mass flow of cold ambient air mixes
with the exhaust flow to further reduce the overall speed and temperature of the exhaust
exiting the nozzle. The increased mass flow provides a measure of thrust augmentation,
but more importantly it further reduces the noise generated at takeoff. After takeoff, the
upstream edges of the buckets are pivoted inwards to form a CD nozzle with an area ratio
designed to match the appropriate pressure ratio. This matching maximizes the thrust
generated and reduces the presence of plume shocks.
The most significant attempt at a commercial supersonic aircraft was the
Concorde, which utilized the Rolls-Royce Olympus 593 engine. This engine is a turbojet
so it did not include a forced mixer. However, Figure 1-5 shows the functionality of the
ejector buckets. These ejectors functioned in the manner described previously, beginning
with the buckets pivoted in a manner to entrain ambient air and progressing to fully open
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buckets forming a CD nozzle at the cruise condition. An additional benefit of these
ejectors is the ability to pivot them fully closed to provide thrust reversing during
landing.
Figure 1-5 Olympus 593 Engine Nozzle5
Over the past several decades, most turbofan nozzle research has focused on the
design and performance of forced mixers, and several fundamental features of forced
mixers have been identified. In general, the greater the penetration of the mixer lobes
into the different streams, the more rapid the mixing. However, flow separation from
excessive turning and the associated performance loss must be avoided. Different mixer
geometries have been investigated ranging from simple splitters, to high penetration
lobed mixers with or without scallops, to chevrons as a means for achieving a high degree
of mixing in the shortest possible distance. Regardless of the mechanism generating the
increased mixing, the result is lower peak jet velocities leading to less jet mixing noise,
increased thrust, and improved thrust specific fuel consumption (TSFC). As an added
benefit, well-mixed exit flows are achieved after 1-2 mixing duct diameters when
including a forced mixer, a significant improvement over the 5-7 diameters required by
conventional ejectors. Using the ejector and forced mixer concepts together, core and fan
streams can be mixed more rapidly inside the engine duct and mixed further with ambient
air entrained by an ejector, resulting in higher performance and less nozzle weight.
One of the first major investigations of mixer geometry began in 1976 when
NASA initiated the Aircraft Energy Efficient Program in order to spur development of
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more efficient aircraft and propulsion systems. This resulted in a detailed study of mixer
design and geometry for increasing performance and efficiency. Kuchar and
Chamberlain6 investigated different features of the mixer geometry, including the number
of lobes, perimeter-to-lobe ratio, and penetration. Also, lobes were “scalloped,” or cut
back to modify the mixers further in some cases. Total pressure and total temperature
were measured upstream of the nozzle and at the exit plane using rakes, and the mixer
and nozzle itself were instrumented with static pressure taps. For the test, cruise
temperature ratio was matched for the core and fan streams, and a pressure ratio of 2.4
was utilized to match the desired cruise condition of the notional aircraft.
The results of this particular study supported the understanding of how mixer
geometry actually affects the mixing process. It was seen that the penetration of the
mixer lobes has the most significant effect on performance and pressure loss. To a point,
increased penetration increases the performance until the flow turning became too great,
resulting in separation and associated pressure loss. The overall pressure loss was seen to
depend mostly on this flow turning and to a lesser degree on wall friction losses. The
number of lobes and the perimeter had little effect, while scalloping of the lobes was
found to increase mixing, especially with fewer lobes. Finally, the reduction of the gap
between the mixer and nozzle centerbody was seen to be the most important factor,
especially for higher bypass ratio engines.
Presz et al7 studied different mixer designs for use in augmenting ejector
performance. They found that at the low pressure ratios investigated, a more than 100%
increase in ejector performance was achievable through the use of forced mixers,
resulting in more complete mixing in significantly shorter ducts. Additionally, they
found that relatively aggressive designs could be used without resulting in separation.
Tillman et al8 also performed a detailed survey of different supersonic nozzles at
elevated exhaust temperatures of around 1000 degrees F, which is notable in that it
simulated a realistic turbine exit temperature. In order to assess the mixing of the
different nozzle designs, the experiment utilized a combination probe to measure total
temperature, total pressure, and static pressure. Additionally, a laser velocimetry system
was utilized to determine flow velocity in three dimensions. This study found that in
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relation to baseline confluent nozzles, splayed nozzles displayed greatly enhanced mixing
due to the large scale axial vortices induced by the geometry. The potential core length
with the mixer nozzle was found to be approximately half that of the baseline nozzle,
demonstrating the increased mixing rate present in the exhaust. Detailed total
temperature and total pressure profiles were found for the baseline nozzles in this study,
but not for the more complex mixer geometries.
Tillman and Presz9 also investigated the overall thrust performance of lobed
mixer nozzles in comparison to standard circular nozzles. One of the initial concerns in
relation to thrust loss is the flow non-uniformity that is inherently necessary to create
large vortices. However, it was analytically determined that the thrust lost due to non-
uniformity from the mixer would be on the order or 0.1%. It was also seen that for both
un-choked and choked nozzle conditions, no appreciable thrust loss resulted in
comparison to a conventional circular nozzle. Thrust augmentation through the use of an
ejector was also investigated. It was seen that a properly sized ejector could result in
thrust gains for the mixer-ejector nozzle on the order of 10%. However, it was also seen
that improperly configured mixer-ejectors could actually lead to a decrease in thrust
relative to a normal ejector. Overall, it was found that it was possible to create mixer-
ejector configurations that were similarly effective at mixing, but could vary significantly
in their thrust performance.
Sokhey10 has investigated the use of ventilated mixers as a means for achieving
greater mixing with less total pressure loss. Greater mixing can generally be achieved by
greater vortex generation, which in turn is achieved by greater penetration between
streams. However, the greater penetration results in greater flow turning, which
eventually results in separation. The ventilation concept involves making slots in the
mixer lobes at appropriate places in order to energize the boundary layer and prevent
flow separation. Tests were conducted at various nozzle pressure ratios ranging from 1.5
to 2.5. Overall, it was concluded that the ventilated mixer concept significantly reduced
the pressure loss and also enhanced the mixing effectiveness. It was also determined that
for a high bypass turbofan, a ventilated mixer could provide a 0.4% gain in TSFC over an
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unventilated mixer of the same geometry. Finally, it was seen that the noise reduction
potential was greater than that of a standard splitter nozzle.
Abolfadl and Sehra11 performed an investigation focused on the thrust
performance of mixers and how different geometric factors affect the performance of
forced mixers. Consistent with previous findings, they saw that TSFC, mixing, and
overall performance could be significantly improved through the use of a longer mixing
duct, scalloping, and increased lobe number. Abofadl et al 12 also specifically
investigated lobe geometry, including the effects of lobe height, wavelength, and
penetration angle. Several specific conclusions were reached regarding lobe geometry. It
was seen that the measure of mixedness used increased with increasing lobe height to a
maximum and a lobe height-to-wavelength ratio of unity. Mixedness also increased as
lobe penetration angle increased, up to a maximum at 20 degrees. These findings are
consistent with those found previously by other investigators.
More recent work by Presz and Werle13 has investigated the use of multi-stage
ejectors to improve ejector system performance. Ejector stages are placed in series
resulting in a device that generates higher diffusion rates, better wall cooling, and more
efficient flow mixing. Results showed that multi-stage designs were capable of higher
diffusion rates and greater thrust augmentation than single-stage counterparts. Mixing
was seen to be enhanced through the pumping of multiple streams of secondary flow.
Additionally, the multi-stage design was seen to exhibit better nozzle cooling and greater
insensitivity to aircraft installation effects such as blockages or other system losses.
Specific applications for this technology center around the need for thrust augmentation
with added IR signature reduction or added cooling. Accordingly, similar designs were
utilized on the Comanche attack helicopter and have been considered for rocket
applications to increase nozzle cooling.
Mengle14 has investigated the reduction of jet noise by modifying the scalloping
of lobed mixers, and also more recently, by using “chevron” geometry as opposed to
lobes in the mixer geometry. Scalloping, or removing sections of the lobe sidewalls, has
been seen to increase mixing effectiveness because of earlier interaction between the two
streams and the generation of smaller secondary vortices that merge with the main axial
11
vortices to increase their overall strength. These geometries are shown in Figure 1-6.
Scalloped lobe walls were also seen to reduce the overall noise in the more annoying
intermediate frequencies. However, the scalloping also resulted in more non-uniformity
in flow at the exit plane, which tends to be an undesirable side effect of mixers that
generate very complex internal flows. Overall, it was found that proper shaping and
sizing of the scalloped area resulted in decreased effective perceived noise levels
(EPNL), a benefit that was seen to increase as the overall thrust increased. However, an
overall decrease of thrust was found to be associated with scalloping, resulting in a trade-
off between decreased noise and increased thrust.
Figure 1-6 Lobed Mixers with No Scalloping, Moderate Scalloping, and Deep Scalloping14
The use of chevrons in mixers has also been investigated for its potential to
further decrease jet mixing noise. Mengle15 found that a combination of properly
designed chevrons placed on the mixer and nozzle lip can result in lower noise levels
than lobe mixers. This configuration is shown in Figure 1-7.
12
Figure 1-7 Example of a Full Scale Nozzle Utilizing Chevrons16
Additionally, it was found that chevrons only on the mixer also result in noise levels
below those of simple splitter mixers with no complicated geometry. The chevrons
reduce noise in a different manner than lobes, reducing low frequency noise while not
creating any significant high frequency “lift.” Lobes accept this high frequency “lift”
while reducing the low frequency noise to a greater degree. Essentially, the chevrons
were seen to produce a more gentle mixing process because the secondary flows induced
by chevrons were weaker in comparison to typical lobed mixers. This then is thought to
result in less internal high-frequency jet noise, resulting in less far-field noise.
Although the literature contains investigations performed by a number of
researchers under a range of conditions, a gap remains in the area that would be
representative of an SSBJ’s NPR range and size. While studies of NPRs between 3 and 4
and Mach numbers up to 1.5 have been performed, there is a lack of data at higher
conditions. Additionally, cold flow tests are significantly more common than hot-fire
tests with temperatures representative of turbine exit temperatures. Conveniently, the
new Bi-Annular Nozzle Rig (BANR) facility provides an ideal setup to study mixing at
both the exit plane and downstream distances. With the use of a total temperature and
total pressure measuring rake, the gap in data on higher flow conditions can be filled. In
turn, the effectiveness of mixers in SSBJ applications can be evaluated. The design of
the system used in the BANR facility will be discussed in detail in the next chapter.
13
1.2.2. Center-Body Plug Nozzles
Originally, the motivation for studying plug nozzles came from the desire to
design a single stage to orbit launch vehicle (SSTO). An SSTO requires maximizing
thrust across the entire flight envelope while simultaneously minimizing mass and
complexity. These factors directly translate to SSBJ applications where high levels of
thrust and easy airframe integration are of primary importance. Although the plug nozzle
is attractive as a potential nozzle concept, its merits are somewhat different than the
conventional convergent or CD nozzles. Although a nozzle with movable ejector buckets
can adjust to provide the desired exit area, the required area divergence can potentially
cause issues with airframe integration. These movable ejector buckets also add
significant complexity and weight to the propulsion system. The plug nozzle shown
below demonstrates the simplicity and ease of integration that such a nozzle offers. The
nozzle essentially consists of a cylindrical shroud and the plug expansion surface. While
this plug can translate to vary the throat for engine matching, its major benefit is that it
allows the flow through the nozzle to self-adjust to the ambient pressure. Ideally, what
results is a uniform flow without the periodic shock trains associated with improperly
expanded exhaust. Conners17 describes perhaps the most attractive feature of the plug
nozzle. While a conventional nozzle will have to open significantly to achieve the
desired area divergence, the engine nacelle footprint of a plug nozzle remains a constant
“trash can,” which in turn is easier to deal with from an engine integration standpoint.
Like a conventional nozzle, the plug nozzle is designed to a specific NPR, and as
a result, operates in three different regimes according to the existing pressure ratio.
Hagemann et al18 describe the flow phenomena experienced by plug nozzles. At pressure
ratios below design, the flow is expanded along the plug and interacts with the shear
layer, adapting to the ambient pressure through a series of compression and expansion
waves. At the design pressure ratio, the shear layer is parallel to the nozzle centerline and
the flow becomes essentially uniform, although perfect uniformity is not realistic for a
multi-dimensional flow. Finally, at pressure ratios above design, the plug nozzle
essentially operates as a conventional nozzle with the flow initially expanding to match
the lower ambient pressure, and then recompressing through a series of shocks. These
14
conditions are depicted in Figure 1-8 for typical SSBJ flight regimes. In general, the plug
nozzle results in relatively uniform flow at the nozzle exit with the exit pressure
approximately equal to the ambient pressure.
Figure 1-8 Plug Nozzle Flowfield Phenomena
Some of the early fundamental work done to develop plug nozzles involved the
design of an isentropic plug surface for expansion instead of a simple conical contour.
Lee19 and Angelino20 independently developed methods for determining the isentropic
contour for a planar flow in a plug nozzle. Angelino then further developed a more
robust design approach utilizing the method of characteristics. While these isentropic
contours expand the flow with minimal losses, they also require significant length for
high NPRs. For rocket applications with large pressure ratios, these contours become
extremely long and heavy. As a result, significant work has also been done to investigate
the effect on thrust when the plug is truncated to some degree. Hageman et al21 and
15
researchers at DLR performed extensive subscale experiments attempting to characterize
the effect of the flow over a truncated plug. Tomita et al22 also investigated this
transition region for conical and contoured plug surfaces over a large range of pressure
ratios.
For airbreathing applications, the most relevant plug nozzle investigations took
place under what originally was the Supersonic Transport Program and later the
Supersonic Cruise Research Program. A first generation low-angle plug nozzle was
extensively tested, examining internal performance, external performance, and
installation effects. Additionally, a second generation co-annular plug nozzle utilizing an
inverted velocity profile was also tested. Results showed that the low angle plug
demonstrated excellent thrust efficiency, while the co-annular plug’s efficiency was
somewhat less. In general, both nozzles showed promise, but needed additional work in
order to satisfy the goal of the study23.
As described, there has been significant attention paid to plug nozzles for rocket
and large supersonic transport applications. However, there is a distinct lack of research
that is directly applicable to SSBJ applications. This gap is depicted in . Although the
previous work on plug contours, thrust performance, and noise generation provides a
basis for comparing future designs and experimental results, data at representative
pressure ratios and scales will help to fill in a large gap in experimental results.
Fortunately, the pressure ratios and scales under consideration for SSBJs allow a plug
nozzle design to be directly tested at various conditions of interest with only minimal
scaling.
16
Figure 1-9 Gap in Plug Nozzle Literature
1.3. Mixing Phenomena and Noise Generation
Aeroacoustics studies the generation of noise by aerodynamic mechanisms. This
field is important for SSBJ applications as it pertains to the operation of commercial
aircraft, specifically the compliance with FAA FAR Part 36 noise regulations24.
Although noise generation is not a direct subject of the present study, it does provide
background for why mixer-ejector and plug nozzles are attractive for use in SSBJ
applications. As noted previously, the noise generated by any SSBJ is critical to its
overall viability. As a result, any future propulsion system must effectively minimize jet
noise at takeoff and approach. In order to do this, the jet exit velocity must be reduced as
much and as quickly as possible. Furthermore, supersonic shock noise from the exhaust
17
plume must be mitigated in order to reduce the intense noise emissions caused by
periodic shock systems that exist in improperly expanded plumes.
1.3.1. Exhaust Plume Mixing
In the case of an SSBJ, the fundamental problem to consider is the turbulent
mixing of two co-annular compressible jets. The mixing of core and fan flows represents
one case while the mixing of ambient air with the mixed exhaust represents another.
Ideally, a forced mixer combined with a mixing duct of appropriate length will result in
exhaust that is of a relatively uniform temperature and velocity, maximizing thrust and
efficiency of the nozzle. This exhaust then interacts with ambient air, which can have a
relative velocity anywhere between static and supersonic and be at a wide range of
temperatures. Depending on the nozzle design, exit conditions, and ambient conditions,
the exhaust will spread and mix with the ambient air in some manner, and a plume
boundary can be defined according to chosen criteria.
Plume mixing and spreading is usually characterized by velocity and temperature
decay as well as the physical spreading of the plume described by the jet half radius.
Extensive analytical and experimental work has been done in an attempt to develop
correlations and predictions for spreading and decay of the plume based on nozzle exit
Mach number and exit temperature or density. Chu25 describes several correlations that
have been developed to predict centerline velocity decay for both static and freestream
conditions. In general, it is seen that non-static ambient condition tends to reduce jet
mixing and increase potential core length, and the correlation between static and moving
freestream conditions is significant because of the relative ease of gathering static
freestream data versus simulated forward flight conditions. In addition to the velocity
difference between the freestream and the jet, it is seen that the density ratio plays a
significant role when the streams are of different composition. Total temperature can
also be related to the centerline velocity to predict the centerline total temperature decay.
Finally, through conservation of momentum, an expression for the jet half radius can be
expressed in terms of known temperatures and velocities.
18
The expressions described by Chu provide a baseline prediction of plume mixing
and spreading. However, they do make several simplifying assumptions, namely velocity
and temperature uniformity of separate streams. Most practical applications though
involve more complexity for a variety of reasons. In the case of a turbofan engine, the jet
exhausting into the freestream is rarely perfectly uniform in temperature or velocity.
Additionally, if a forced mixer or ejector is present, secondary flows will most likely be
present at the nozzle exit which will affect external plume mixing and decay. Finally,
recently gathered data has suggested that asymmetric nozzles can improve plume mixing
over axisymmetric designs26. These factors can be significant depending on the actual
configuration of the nozzle under consideration. Accordingly, analytical expressions are
sometimes unable to predict mixing and spreading as accurately as desired, requiring
experimental data to provide a basis for comparison. The investigations performed at the
BANR facility initially will not have the capability to directly observe velocity decay.
However, temperature decay will be directly observed with the added benefit of
accommodating streams of different temperatures.
1.3.2. Noise Sources
Louis et al27 describes the various noise sources that aircraft generate. For
subsonic commercial aircraft, the main noise concern comes from the general turbulent
mixing of core and fan streams with each other and with the ambient air. Shock-
associated noise is of lesser concern and sonic boom noise from subsonic aircraft is
obviously not applicable. For an SSBJ, all of these factors are concerns, and generally to
a greater degree than for subsonic aircraft with lower specific thrust propulsion systems.
The higher nozzle pressure ratios necessitated by the supersonic propulsion application
results in higher energy, higher speed, and higher temperature exhaust flows mixing with
the ambient air. Additionally, shock associated noise has the potential to be significantly
greater because of the supersonic exhaust jets. Finally, although not specifically related
to the propulsion system, the boom noise associated with supersonic travel becomes a
concern if the aircraft is to be operated over land and populated areas. While boom and
shock noise are major concerns during cruise, noise generated by the mixing of the
19
exhaust with ambient air is dominant during takeoff and power cutback/approach. In
general, at any particular flight condition, the noise from a supersonic propulsion system
can come from any number of mechanisms including Mach wave radiation, nozzle lip
radiation, shock turbulence radiation, shock unsteadiness, and turbulent mixing.
It is worth noting that historically there has been a significant volume of theories
and methods put forth for predicting jet noise, both in subsonic and supersonic plumes.
While many of the noise-generating phenomena are easily observed, a model to
accurately characterize the different mechanisms as far as their contribution to noise and
interaction with one another has yet to be fully accepted. However, these mechanisms
are commonly regarded as the major contributors to the overall level of noise produced
by supersonic exhaust, and consequently are of major concern when attempting to design
a propulsion system for an SSBJ or other supersonic aircraft.
1.3.3. Noise Mitigation
The different noise sources call for different techniques to reduce their effects on
the overall noise signature of the propulsion system. Jet mixing noise refers to the noise
generated by the turbulent interaction and mixing of fluids of different properties. Sir
James Lighthill28,29 developed the seminal relationship for the strength of jet mixing noise
as a function of jet velocity to the eighth power, and this relationship has been used
extensively as a baseline for predicting noise from jet mixing. To reduce the turbulent
mixing noise radiated outside the exhaust nozzle, the mean jet exit velocity and plume
velocity must be minimized, which is one of the primary goals of mixer-ejector systems.
Tam30 also describes the sources of noise generated from imperfect expansion of
exhaust plumes. Shock associated noise is the major distinguishing factor between
supersonic and subsonic jet noise and results in the large degree of directivity and
spectral content that is observed from supersonic exhaust. In a supersonic plume that is
imperfectly expanded, a train of shock waves will exist that is nearly periodic and decays
at a rate determined by the turbulent mixing layer. These shocks produce high levels of
acoustic emissions through two major mechanisms, broadband shock noise and jet
screech. Broadband shock noise and jet screech occur when large scale turbulent
20
structures in the plume interact with shocks in the plume. In the case of jet screech, the
disturbance is propagated upstream and excites the mixing layer, generating a distinct
audible tone. For shock associated noise, the most effective way to reduce its
contribution to the overall noise is to eliminate the presence of the periodic shock
structure in the exhaust plume. Accordingly, a mechanism must be incorporated to
appropriately expand the exhaust flow to an appropriate exit pressure to avoid a pressure
mismatch at the nozzle exit plane. Both variable exit geometry nozzles and plug nozzles
are helpful in achieving this condition.
1.4. Objectives for Present Work
The literature contains a significant volume of work relating to forced mixers,
thrust augmentation, noise generation, and plug nozzles, but it is clear that there is a need
for additional data pertinent to SSBJ applications. Most mixing investigations have been
performed at pressure ratios below those applicable for future high performance SSBJ
propulsion systems. Additionally, hot-fire data with realistic temperature conditions is
significantly less common than cold flow tests. Although scaling relationships can be
used to relate cold flow data to hot-fire data, the realistic conditions of a hot-fire test
allow for direct observation and evaluation of thrust performance and mixing.
Additionally, very little data exists in the literature with regards to plug nozzles for
airbreathing applications, both in the area of thrust performance and plume development.
The objectives of the initial SSBJ experiments were twofold. First, a facility had
to be developed to assess overall nozzle performance. Primarily, this includes equipment
to measure the thrust generated by the nozzle, but it also involves developing appropriate
diagnostic techniques for assessing mixing and plume characteristics. The second
objective was to actually perform experiments with scaled SSBJ nozzle hardware at
appropriate temperatures, pressure ratios, and flowrates. These experiments ideally
would yield data on thrust, mixing, and unsteadiness to allow for reasonable evaluation of
the particular nozzle under consideration.
21
1.5. Initial and Follow-On Investigations
The first hot-fire tests to be performed were on a plug nozzle scale model
developed by Gulfstream. This nozzle was tested across a range of nozzle pressure
ratios, ranging from approximately 2 at takeoff to 6.2 at the supersonic cruise condition.
Of prime interest was the internal flow characteristics of the nozzle, as well as any flow
unsteadiness generated. The thrust performance of the nozzle was also measured and is a
significant portion of the data analyzed in this thesis. Overall, the data gathered will be
used to determine the plug nozzle’s viability as a potential SSBJ nozzle, identify any
areas for further study, and to validate CFD results.
Following completion of the plug nozzle test matrix, data will be gathered on a
two dimensional IR signature reduction nozzle. Of primary interest in this investigation
will be the thrust performance and temperature distribution in the exhaust plume.
Although this nozzle is not an SSBJ concept, the BANR facility is ideally suited for
gathering the desired data. Finally, a forced mixer-ejector design from Rolls-Royce will
be evaluated. This nozzle will also be tested across a similar range of nozzle pressure
ratios to simulate operation of an SSBJ. For this particular configuration, mixing
effectiveness will be significant as well as thrust performance. Like the plug nozzle
investigation, the data gathered will be used to evaluate the performance of the nozzle,
including the particular forced mixer design and ejector contour. This will then allow for
a similar evaluation of the nozzle’s viability, and validation of CFD results.
The following chapters describe both the development of the facility and present
results from initial investigations. In Chapter 2, the development of rig operations is
detailed as well as actual hardware to measure plume mixing and thrust. Chapter 3
contains results from two sets of testing. Thrust data is presented from the plug nozzle
investigations that took place in January and February 2009. Initial plume mixing data
from investigations in March and April 2009 is also presented. Finally, Chapter 4
concludes the document with a summary of the knowledge and experience gained
through these first investigations with the BANR, and recommendations for future work
and improvements.
22
CHAPTER 2. FACILITY AND TEST ARTICLE DEVELOPMENT
To obtain relevant experimental data for a particular nozzle configuration, flow
must be provided that is either representative of realistic turbine exit conditions, or can be
correlated with such conditions. Purdue’s BANR, shown in Figure 2-1, was developed to
simulate realistic nozzle conditions representative of SSBJ engine cycles. With
representative conditions simulated, the thrust generated and other phenomena such as
plume mixing and spreading can be evaluated and correlated to full scale applications.
To obtain accurate information relating to the internal nozzle flow, plume characteristics,
and generated thrust, several diagnostic tools have been developed and implemented.
These include a suite of electronically scanned pressure (ESP) modules, a six-axis force
measurement system for measurement of forces and moments generated by the nozzle,
and a computer-controlled two-axis positioning system with measurement rake for spatial
mapping of total pressures and total temperatures. In general, these are the BANR’s
primary tools used for evaluating nozzle performance and are considered to be standard
equipment for any test. Additionally, the plug nozzle investigation required
supplementary instrumentation including high-frequency pressure transducers,
accelerometers, and Schlieren imaging. This required adding some temporary and some
permanent capabilities to the facility.
23
Figure 2-1 The Bi-Annular Nozzle Rig, BANR
The following sections describe the BANR and the tools that have been developed
and implemented to use it for nozzle investigations. These tools include a predictive
method for overall operation of the facility, pressure instrumentation to characterize
nozzle flow, a plume rake to map exhaust plumes, and a force measurement system to
resolve the forces generated by the nozzle.
2.1. BANR Facility Overview
Trebs31 describes the design methodology for the BANR in his M.S. thesis. In
general, the facility was designed to simulate nozzle inlet conditions of a turbofan engine.
Accordingly, it is capable of supplying separate heated and unheated streams to test
articles of varying sizes and configurations. The facility was designed to provide flows at
24
NPR’s ranging from 2 to 10, and core stream temperatures up to 1500 degrees F. The
current air system at Purdue’s High Pressure Laboratory (HPL) enables run times as high
as 6 minutes for low flow rate and low NPR conditions, decreasing to around 1 minute
for the highest flow test cases.
2.1.1. Core and Bypass Streams
The BANR provides the appropriate conditions to the test article with two
independently regulated air circuits. Both circuits are controlled with tunable PID-
controlled regulators with large flow coefficients. The bypass stream is shown in Figure
2-2, and the core uses similar components.
Figure 2-2 Bypass Air Circuit
With these regulators it is possible to set a desired condition (pressure or mass flow) and
utilize the control loop to maintain this condition throughout a test regardless of upstream
25
conditions. Downstream of these control valves, the flow in both circuits is set by critical
orifice plates. To minimize momentum contributions on force and moment
measurements from the flowing air, U-tubes are used on the core stream, and a horn with
flexlines is used on the bypass stream. The core circuit can provide heated flow using a
Rolls-Royce 501K combustor liner. This combustor is initially ignited with a propane-air
torch ignitor, and uses standard jet fuel to support combustion. The combustor, ignitor,
and fuel injector are shown in Figure 2-3.
Figure 2-3 Combustor and Torch Ignitor
The bypass air is unheated. Both streams enter the charging station where they pass
through flow conditioning screens and area contractions to ensure the cleanest flow
profile possible. The charging station also includes rakes to measure total temperature,
total pressure, and static pressure to verify the flow profile. The charging station is
shown in Figure 2-4.
Orifice
Plate
26
Figure 2-4 Charging Station
The streams remain separate up to the test article interface. This interface can
accommodate a splitter or forced mixer, a center body, and either separate nozzles or a
single nozzle. Figure 2-5 shows the interfaces as well as provides a clear view of the
flow conditioning screens and charging station rakes.
Orifice
Plate
Location
27
Figure 2-5 Aft Interior View of Charging Station
2.1.2. Operational Limits
The design of the BANR imposes several limitations on the maximum
temperatures, pressures, and flow rates that can be provided to a test article. As analyzed
by Trebs, the combustor imposes the most significant limit on NPR. When the
combustor operates at lower temperatures such as 800 F, the NPR can be up to 10.
However, as the temperature is increased to 1500 F, the NPR is limited to approximately
4 because of the lowered pressure rating of the combustor case at the elevated
temperature. These pressure limitations are shown in Figure 2-6.
28
Figure 2-6 Pressure Rating of Combustor31
Overall operational temperatures in the core are limited to approximately 1500 F because
of the limitations of the stainless steel parts. Fuel flow is limited by the fuel pump in use.
With the smaller fuel pump that was initially sized for the facility, fuel flow was limited
to approximately 1 gallon per minute at 600 psi. With a larger pump, the maximum fuel
flow is significantly increased to 4.7 gallons per minute at 1500 psi, which is sufficient
for all tests currently anticipated. Run time is primarily limited by air supply capacity,
although the large flow coefficients of the control valves allow for significant flexibility
in test length especially at low flow rates. Finally, flow rates and pressures are also
limited by the plumbing and orifice plates in use. Due to the large variation in flow
conditions desired, it may be necessary to change the core stream metering orifice so that
the required supply pressure is not higher than the limitations on the plumbing. For the
core stream, the maximum pressure is approximately 750 psi, and the bypass limitation is
approximately 400 psi. Fortunately, the core metering orifice can be changed easily.
29
Unfortunately, the bypass metering orifice requires complete disassembly of the rig.
However, the bypass orifice is sized such that it can provide mass flows of greater than
30 lbm/s, which is sufficient for the testing planned in the near term.
2.2. Rig Operations
In order to prepare for actual operation of the BANR, an analytical tool was
needed to convert a desired test condition into the actual rig settings required to achieve
the condition. In addition to the required settings, an approximate prediction of
conditions throughout the rig was also desirable to ensure safe operation. Finally, a set of
procedures needed to be developed for easy and consistent use of the BANR.
2.2.1. Code for Predicting and Setting Conditions
A MATLAB script was developed to translate a desired test condition into
information useful for operations. This code takes inputs of NPR, bypass ratio (BPR),
and desired core temperature and outputs the required orifice pressures and fuel circuit
settings to achieve the desired condition. In general, it is a tool that quickly performs a
one dimensional analysis that is intended to provide a baseline for operating at a desired
test point. Figure 2-7 shows the operation of the program in simple schematic form.
Figure 2-7 Predictive Program Functional Schematic
30
2.2.1.1. General Assumptions
This code makes several assumptions in order to simplify the analysis. In general,
there are a significant number of unknowns taken into account, and with more experience
operating the rig, these unknowns can be better characterized, resulting in a more refined
predictive tool. First, the pressure in the tank is assumed to be constant, which is
reasonable for a relatively short duration test, but less so for a longer test or one at very
high NPR, as the tank pressure will decrease significantly as well as the air supply
temperature. Second, all properties of air and jet fuel are assumed to be constant. Across
the range of temperatures and pressures experienced, this is reasonable although it does
introduce an error when a hot-fire test is being considered as the ratio of specific heats is
less accurate. Third, the blowdown of the air supply tanks is assumed to be a polytropic
process from the tanks to the nozzle throat. The process is assumed to be between
isothermal and adiabatic, with an appropriate polytropic constant. As tests are completed
and more data on this blowdown process becomes available, this constant can be
modified to more accurately represent the actual process that is taking place, even taking
into account differences between the core and bypass streams. Fourth, the two streams
are assumed to be unmixed. Finally, the code assumes a value for the discharge
coefficient of both the orifice plates and nozzle. The discharge coefficients for both the
orifice plates and nozzles should be the subject of close scrutiny as more test data is
gathered and analyzed.
2.2.1.2. Execution
The actual code used can be found in Appendix A. With the test day ambient
conditions given as well as the starting air tank supply pressure, the code first calculates
the required total pressure (Ptotal) at the throat using the desired nozzle pressure ratio
(NPR) and ambient pressure (Pa):
t aP =NPR×P Eq. 2.1
31
Next, the temperature at the throat (Tthroat) is calculated using a polytropic relationship
that incorporates the tank pressure (Ptank), tank temperature (Ttank), and total pressure:
n-1
nt
throat tanktank
PT =T ×
P
Eq. 2.2
The polytropic constant (n) describes the blowdown process, with a value of 1.0 being an
isothermal process and a value equal to the ratio of specific heats being an adiabatic
process. From empirical data, this value has been slightly more than 1.0. In the case of a
cold-flow test, the throat temperature calculated in Eq. 2.2 is used as the mean
temperature. For a hot-fire test, the core temperature is assumed to be the desired core
temperature. These two temperatures are then averaged using the desired bypass ratio
(BPR), core stream temperature (Tcore) and bypass stream temperature (assumed to be
equal to Tthroat) to get the mean throat temperature (Tmean):
mean core throat
1 BPRT = T +T
1+BPR 1+BPR
Eq. 2.3
Using this temperature, the desired total pressure, the throat area (Athroat), an assumed
discharge coefficient (Cdnozzle), and gas properties (γ and R), the total required mass flow
(•
totalm ) through the throat is calculated (with gc=32.2 (lbm-ft)/(lbf-s2) needed for
consistent units):
- γ+1• 2 γ-1
ctotal t throat nozzle
mean
γg γ+1m =P A Cd
RT 2
Eq. 2.4
This total mass flow is then used with the BPR to determine flows through the core
(•
corem ) and bypass streams (•
bypassm ).
32
••
totalcore
mm =
1+BPR
Eq. 2.5
• • •
bypass total corem = m -m
Eq. 2.6
Using these mass flows and temperatures, the orifice areas (Aorifice,core, Aorifice,bypass,
Aorifice,combustor), an assumed discharge coefficient for orifices (Cdorifice), and gas
properties, the respective bypass orifice and core orifice pressures (Porifice,bypass, Porifice,core)
required to reach the condition can be found, as well as the pressure in the combustor
(Pcombustor). For the orifice temperatures (Torifice,core, Torifice,bypass), a polytropic relationship
is again used between the tank and the orifices, requiring several iterations to achieve the
correct value. This allows for separate modeling of streams and the associated heat
transfer during the blowdown process.
-1γ+1•
2 γ-1orifice,corecoreorifice,core
orifice orifice,core c
RTm γ+1P =
Cd A γg 2
Eq. 2.7
-1γ+1•
2 γ-1core combustor
combustororifice orifice,combustor c
m RT γ+1P =
Cd A γg 2
Eq. 2.8
-1• γ+1
2 γ-1bypass orifice,bypassorifice,bypass
orifice orifice,bypass c
m RT γ+1P =
Cd A γg 2
Eq. 2.9
A hot-fire test adds more complexity to the prediction. The code utilizes NASA’s
Chemical Equilibrium with Applications (CEA)32 and iterates on a desired combustor
temperature to determine the appropriate fuel-air ratio and also the corresponding
combustor pressure and fuel mass based on the core air flow. The last portion of the code
calculates the pressure drops through the various components of the fuel supply system,
resulting in the required settings for the regulator and valve that control the fuel circuit.
33
The code summarizes this process and outputs all the input values and the pertinent
output values on the MATLAB desktop, as shown in Figure 2-8.
Figure 2-8 Sample Output of Required Rig Settings
2.2.1.3. Concerns and Potential Improvements
From initial testing, the code has already demonstrated good functionality and
accuracy. However, the predictive capability of the code can ultimately be improved by
several factors. First, the discharge coefficients of the orifice plates need to be evaluated.
This coefficient can then become a parameter in the code that is known with certainty.
As different nozzles are tested, their individual discharge coefficients will also need to be
determined. Next, the blowdown process of the rig needs to be carefully evaluated.
From empirical evidence, the rig tends to frost when flowing larger mass flows even after
only a short run, and air temperatures decrease significantly during a test. If this is not
properly accounted for, the code can miss on its predictions by a significant amount.
Perhaps the most work lies in the fuel supply circuit. Significant effort was put into
understanding the original fuel injector procured for use. However, it was seen that this
injector was incapable of maintaining combustion. Accordingly, an alternate injector
with different characteristics was used temporarily to support testing. The original
injector was then modified slightly and will require more analysis to verify its flow
characteristics. Also, the original valve in the fuel supply circuit was oversized, resulting
in poor control at lower flowrates. The problem is further complicated by the fact that
34
the pump that pressurizes the fuel does not have a characteristic as flat as that suggested
by the manufacturer. All these factors combine to make the performance of the fuel
circuit difficult to characterize. A more capable pump and a smaller control valve will
provide more useful and consistent operation of the circuit across all anticipated supply
needs.
There are also a number of concerns with the operation of the rig that do not have
straightforward fixes. First, as detailed in Trebs’ thesis31, screen stacks are used as flow
conditioners in both the core and bypass streams. The literature suggests methods for
predicting an appropriate loss coefficient for a screen in a similar setup. However, the
stacks were custom-made with six layers of mesh oriented at different angles, making it
difficult to make an actual prediction of the loss coefficient based on existing methods.
Also, it is impossible to calculate the pressure drop across the stack for a given condition
without actually measuring it. To this end, a port in the bypass stream immediately
upstream of the screens will provide information on pressure upstream of the stack. This
information will be used with the pressure upstream of the orifice and the charging
station rake pressures to calculate pressure drops across the orifice plate and screen stack.
Although it is impossible to do this for the core stream in the current configuration of the
rig, the data from the bypass stream will provide information on the pressure drop the
stack is seeing, and in turn the loads on the screen assemblies. This knowledge will
hopefully help to avoid any catastrophic event where a piece of the screen stack is blown
downstream, causing damage to the charging station rakes and the test article.
Finally, the separation of the bypass and core streams at their mixing or interface
plane poses a challenge to accurately determining NPRs. Theoretically, the mass flow
for a cold test needs to be divided according to the stream area ratio in order for the NPR
of both streams to be matched. This same concept applies for a hot-fire test as well,
although the increase in stagnation temperature and change in ratio of specific heats must
be accounted for33. As a result, it is more complicated to characterize the NPR in hot-fire
tests due to the range of temperatures that can be seen during a test. From data already
gathered, it can be seen that in some cases, the flow from one stream can influence the
other, resulting in uniform pressures but not necessarily the desired mass flows.
35
Although the temperatures, pressures, and mass flows of the two streams can be carefully
accounted for and matched relatively closely, some degree of mismatch is unavoidable.
Therefore, to effectively describe the overall NPR, a mass weighted average can be used
to combine two slightly different stream NPRs (NPRcore and NPRbypass) into a single value
( NPR )34 using their respective flow rates:
• •
core bypasscore bypass
•
total
m NPR + m NPRNPR=
m
Eq. 2.10
This value can then be used to correlate relevant data such as thrust, mixing, and other
parameters.
2.3. Pressure Instrumentation
The main source of pressure data for the BANR is a suite of ESP modules,
manufactured by Esterline Pressure Systems. The facility currently has 6 modules, each
capable of 16 simultaneous pressure measurements over a range of pressures. This suite
is shown in Figure 2-9. There are several benefits to utilizing these modules instead of
individual transducers. First, these modules are more flexible across a range of pressures.
They measure differential pressure with respect to a chosen reference pressure that can
easily be changed, allowing them to be used at most absolute pressures despite their finite
differential range. Accordingly, a higher accuracy can be achieved than with absolute
transducers as the full scale of the instrument will be less. The suite also has three of the
modules that are bi-directional, allowing sub-atmospheric pressures to be measured
without the use of a vacuum reference. Communication with the modules is through an
ethernet connection, allowing for simultaneous data transfer at up to 500 Hz per channel
without tying up all the analog data channels in the facility. To verify the accuracy of the
modules, high-accuracy Druck transducers are used to verify accurate reference pressure
36
measurements. Finally, the cost per channel for the data is significantly less than an
equivalent number of high-accuracy individual transducers operating simultaneously.
Figure 2-9 ESP Module Suite
In the current configuration, these modules primarily measure three groups of
pressures. First, they measure the total and static pressures in both the core and bypass
streams as measured by the charging station rakes. These rakes each have 5 total
pressure and one static pressure measurement, as well as 5 total temperature
measurements. As shown in Figure 2-10 and Figure 2-11, the probes are spaced such that
they are at the center of annuli of equal area, allowing the mean pressure or temperature
in each stream to be computed with a simple average of the measurements. The actual
rakes (uninstalled) are shown in Figure 2-12.
37
Figure 2-10 Core Charging Station Rake Drawing
Figure 2-11 Bypass Charging Station Rake Drawing
38
Figure 2-12 Photograph of Bypass and Core Charging Station Rakes
Additionally, the modules were set up to measure the static pressures along the plug
nozzle expansion surface and shroud. The layout of these taps was created by John
Tapee35 and a diagram is shown in Figure 2-13.
39
Figure 2-13 Plug and Shroud Tap Locations
Finally, a specific module is used to measure the total pressures from the plume rake.
This module has the largest range in the suite in order to account for the wide range of
pressures the rake can potentially see as it is traversed from quiescent air to flow at a
stagnation pressure of approximately 150 psi. As an added benefit, the pressure
connections to all the modules are made with plastic tubing and can be easily changed.
The majority of pressure measurements for the facility are “steady state,” or less
than 500 Hz. However, the plug nozzle investigation required high-frequency pressure
measurements taken between 20 kHz and 100 kHz. To accommodate this, high
frequency signal conditioners were added to the facility in order to interface with HPL’s
portable high-speed data acquisition system. Additionally, the necessary wiring and
connections were made for communication with a high-speed camera. A further
description of these capabilities can be found in John Tapee’s work35.
40
2.4. Traversing Rake System for Plume Diagnostics
The overall objective for performing plume diagnostics in the BANR facility is to
obtain quantitative data on the nozzle plume characteristics. This can include nozzles
with static mixers, mixer/ejector systems utilized in advanced nozzle concepts, transition
nozzles used in low infrared signature applications, or any other nozzle of interest.
Methods such as high frequency pressure measurement, hot-wire anemometry, or PIV
were considered as options for evaluating unsteadiness and turbulence in the plume.
However, each of these methods posed significant challenges. High frequency pressure
transducers available for use have a large cross section due to the required cooling system
for use in high temperature exhaust representative of advanced engine cycles. Hot-wire
anemometry was considered, but deemed to lack the necessary robustness for the high
temperatures and high flow velocities and flow rates36. Quantitative laser imaging
provides useful data on the velocity fields in the plume. However, depending on the
technique, this could require rig modifications to enable seeding the flow, expensive laser
components, and precise setup requirements. Accordingly, this diagnostic technique is
seen as a future capability to be developed. Although quantitative data is not currently a
capability, HPL does have experience with high-speed Schlieren imaging, and it was used
to obtain qualitative images of the nozzle and plume flow characteristics.
Therefore the selected source of quantitative plume data is a rake that measures
total temperature and total pressure. This concept was deemed to be sufficient to achieve
the stated goals by providing steady-state mixing characteristics of the plume, as well as
being relatively simple and low-cost. Additionally, a similar concept with total pressure
and total temperature measurements is used in the High Flow Jet Exit Rig (HFJER) at
NASA Glenn Research Center37. The major difference is that the system used on the
HFJER utilizes several rakes with 40 probes on each measurement rake, and is also
significantly larger, as shown in Figure 2-14. These rakes are mounted on a large
structure on rails and are able to be translated horizontally as well as axially. With the
large number of rakes and probes, the HFJER system is capable of achieving a
measurement resolution of 0.25-0.5 inches.
41
Figure 2-14 HFJER Plume Traversing System37
Due to cost and space restrictions, it was determined that the BANR facility
should attempt to satisfy a similar measurement resolution using a single rake with a
more capable traversing system. Accordingly, the rake design and was straightforward,
but the traversing system was a more significant challenge. The final design for the
BANR system is shown in Figure 2-15. It is significantly smaller than the equipment at
the HFJER, but is able to achieve comparable measurement resolution and is capable of
completely mapping all plumes from nozzles currently slated for testing on the BANR.
42
Figure 2-15 Plume Rake Traverse System
2.4.1. Rake Design
Due to the wide variety of nozzles anticipated to be tested using the BANR, it was
necessary to design a rake that can be useful for all anticipated nozzles. To do this, the
rake was designed with circular/rectangular transition nozzles in mind. Since one aim of
this particular nozzle type is the rapid spreading and mixing of the exhaust plume, it was
taken as the most extreme case of plume spreading. A nozzle of this type with a
rectangular exit plane of 6.32 in. by 1.58 in. (equivalent diameter of 4.45 in.) was used as
the design case because of the availability of previously gathered empirical data, as well
as the desire to conduct additional investigations in the near future using the BANR.
Although the BANR can potentially accommodate nozzles of approximately 10 inch exit
diameter, this particular transition nozzle was determined to be the most extreme case of
near-field plume spreading that is anticipated to be tested in the BANR facility.
43
Aside from runtime and scaling limitations, the facility also imposed a limitation
on how far downstream measurements could be taken. In general, the exit plane of the
nozzle will be approximately 4 feet from the overhead door aft of the BANR.
Accordingly, for the largest nozzle under consideration, this results in a maximum
downstream measurement point of approximately 4.5 nozzle diameters. Aft of this, it is
likely that flow measurement could be significantly affected by interference from the
Annex walls and weather conditions outside of the building.
2.4.1.1. Measurement Area
In Tang’s Ph.D. dissertation26, plume spreading data is presented for several
design variations of a transition nozzle. This data shows that at x/De = 5, the plume
width/De is approximately 3. Accordingly, for a nozzle De of 4.45 inches such as the one
under consideration for testing in the BANR, the plume width should be approximately
13.35 inches. If this spreading rate is extrapolated further downstream to the back wall of
the Annex, the plume width should be approximately 24 inches at 48 inches downstream.
As a result, the measurement area of the rake was designed to be 24 inches while the
overall length of the rake was determined to be 36 inches. This includes end supports
and mounting flanges, and will also ensure that any deviations of the plume from rig
centerline or major asymmetries do not result in hot exhaust impinging on any of the
structure or actuators used to support and translate the rake.
2.4.1.2. Construction
The final rake design is shown in Figure 2-16. The overall shape is rectangular
with a 30 degree wedge at the leading edge. The rake utilizes 20 probes (10 total
pressure and 10 total temperature) spaced evenly and alternately over the 24 inch
measurement area. As a result, there is approximately 1.25 inches between each probe,
and 2.4 inches between adjacent pressure or temperature measurements. The actual
probes are 0.125 inch diameter tubes with either pressure tubing or thermocouples
44
attached and fed out through the mounting flanges of the rake on each end. Some of the
pertinent rake dimensions are also shown in Figure 2-17.
Figure 2-16 Plume Rake Model
Figure 2-17 Pertinent Rake Dimensions in Inches
45
ATK GASL was chosen as the designer and manufacturer of the rake because of
their extensive experience designing and fabricating aerospace test hardware, including
similar rake designs. A general analysis was performed in-house to approximate the
aerodynamic loading on the rake for the purpose of designing the actuator system, but the
detailed finite element analysis was performed by ATK GASL. The harshest condition
was given to their analyst as a stagnation pressure of 147 psi, a stagnation temperature of
1300 F, and a Mach number of 2.15, which encompasses all the worst-case conditions
that are anticipated from BANR testing. For this condition, it was determined that a
stainless steel rake would not provide a sufficient safety margin. As a result, it was
decided to utilize Inconel 625 because of its high temperature capabilities and strength.
The analysis performed by ATK GASL shows stresses well below the allowable levels
for Inconel at the given temperatures38. The choice of Inconel as the material resulted in
significantly higher cost due to the material and machining costs, but was necessary to
ensure the ability to use this rake in all anticipated conditions.
2.4.2. Traversing System Design
The overall goal of the frame and actuator system is to allow for motion of the
plume rake in two dimensions (vertically and horizontally) during a test, and axially
between test runs. The motion during a test needs to be remote and automated, although
the axial motion can be done manually. The rake needs to be able to move approximately
36 inches in the stream-wise direction and 4 inches in the vertical direction in order to be
able to map the entire plume area for all anticipated nozzles. The actuators must be able
to control the rake in 0.25 inch increments at speeds on the order of 1 inch/second. The
frame needs to support all the required actuators to move the rake and any other
necessary instrumentation.
The system basically consists of three levels. The first level is a rectangular base
made of welded square tubing. This level is stationary in two dimensions, but has casters
on it to translate axially. Mounted to this level are screw-jack actuators used to provide
vertical motion. The translating ends of these screw-jacks are mounted to the middle
level, made of welded rectangular tubing. This level only moves vertically, but has a
46
linear actuator and several linear bearing rails mounted to it to provide horizontal motion.
The top level is a welded assembly of square tubing shaped similar to a soccer goal. This
assembly has the rake mounted to it and translates across the exhaust stream. This design
allows for precise, de-coupled positioning of the rake in three axes. These three main
levels are depicted in Figure 2-18.
Figure 2-18 Basic Frame of Plume Traverse System
2.4.2.1. Actuators
As mentioned previously, the actuators represented a significant design challenge
because of the range of motion required and the forces reacted by the plume rake. A
linear positioner is used to move the rake across the stream. This linear actuator is the
47
Parker HD-Series actuator with an overall travel distance of approximately 40 inches, and
is shown in Figure 2-19. This actuator must be able to react the drag force that the rake
experiences.
Figure 2-19 Parker HD-Series Actuator Used in Actuator System
To estimate the drag force, an analysis was performed assuming a range of NPRs
from 2 to 10. It was also assumed that the entire 36 inch length of the rake was exposed
to a uniform flow, and that the wave drag coefficient of the rake was that of a 30 degree
wedge at a Mach number of 2.2, corresponding to the actual design of the rake and the
most extreme case of aerodynamic loading. The drag coefficient (cd) depends on the drag
force ( 'D ), dynamic pressure (q1), and the chord length (c), where subscript 1 denotes
upstream of the oblique shock and 2 denotes downstream of the shock):
'
d1
Dc =
q c
Eq. 2.11
Using the geometry of the wedge and the definition of the dynamic pressure, the drag
coefficient can be found in terms of the wedge half-angle (θ), Mach number (M1), and
pressure ratio (p2/p1) across the oblique shock:
48
21 1
γq= p M
2
Eq. 2.12
2d 2
1 1
p4tanθc = -1
γM p
Eq. 2.13
Using the Mach number, the pressure ratio can be found using oblique shock tables, thus
determining the drag coefficient. For this particular case, the value was found to be
approximately 0.1939. These simplifications yielded a simplified but conservative
estimate of the total drag force on the rake due to the fact that the entire 36 inch rake
should never actually be exposed to the highest flow condition. According to this
analysis, the actuator should be able to operate under a maximum load of 225 pounds.
However, the actuator will also be assisted by two linear bearing rails to provide
additional support and stability in the axial direction, minimizing the loads and moments
on the actuator as much as possible. Figure 2-20 shows a free body diagram of the rake
depicting the loads imparted on it, and Figure 2-21 shows the drag force experienced by
the rake as a function of NPR.
Figure 2-20 Rake Free Body Diagram with Distributed Drag Load and Reaction Loads
49
2 3 4 5 6 7 8 9 1040
60
80
100
120
140
160
180
200
220
240Drag on Rake vs. Nozzle Pressure Ratio
NPR
Dra
g (lb
s)
Figure 2-21 Drag on Rake vs. Nozzle Pressure Ratio
The requirement on the vertical actuators is to lift the weight of the frame, rake,
and horizontal actuators, a weight of approximately 200 pounds. It also must be lifted
evenly, ensuring that the measurement plane of the rake remains reasonably orthogonal to
the floor. The actuators chosen are a set of jack-screws with motor, gear box, and
couplings to coordinate motion. This assembly is built by Nook Industries and is shown
in Figure 2-22. Although these jackscrews do not operate reliably with large side-loads
imparted on them, the screws of the assembly chosen for use are significantly more
robust than would otherwise be necessary to lift the load. This limitation is not
anticipated to be a problem, but any difficulties in providing the desired motion should be
immediately obvious. Figure 2-23shows the fully assembled system just downstream of
the nozzle exit plane.
50
Figure 2-22 Jackscrew Assembly for Providing Vertical Motion
Figure 2-23 Fully Assembled Plume Rake and Traverse System
Vertical
Actuators
Horizontal
Actuator
Plume
Rake
51
2.4.2.2. Control Architecture
The overall architecture for positioning the plume rake and gathering data is
depicted in Figure 2-24. It is essentially an open control loop, starting with a
programmed sequence and ending with the actual rake position being read into the data
acquisition system.
Figure 2-24 Plume Rake Control System Architecture
In order to move both the linear positioner and jack-screw assembly, motors and
motor drives are required to translate computer control signals into actual torque. As
noted, two motors are required in the system; one to move the rake across the stream and
one to power the jack-screw assembly. Conveniently, the loads and speeds required for
both actuators are of the same order. This similarity allows both common motors and
common drives to be used. The motors and drives were chosen from the product line of
Applied Motion Products. A high-torque stepper motor was determined to provide the
necessary torques, speeds, and smoothness of motion for both axes, and STAC-6 stepper
drives are used to power and control the motors. The STAC-6 is actually a standalone
52
drive that can either be programmed or provide real-time control. In this application, a
motion control program is written using the drive software, uploaded and stored on the
drive, and then executed through the use of a relay switch. The program will execute but
will not detect any motor stalls or other faults, although the drives are capable of this
when properly equipped with encoders and limit switches.
In order to reliably determine the actual position of the rake, position information
of some kind is necessary. The drives chosen for this application actually have the
capability to ensure that the motors they control achieve a very precise position through
various feedback and control loops. If for some reason they are unable to achieve the
precise position commanded, the drives remember and display any faults incurred while
executing their program. Although these advanced capabilities are useful in many
motion control applications, these features are not helpful for the rake positioning
application because of the difficulty that arises in synching rake data with position data in
the data acquisition system. The BANR facility is set up to record synchronous analog
data, which includes pressure measurements, temperature measurements, valve positions,
load cells, or any device that outputs 0 to 10 VDC. Unfortunately the STAC-6 drive does
not provide this type of output, nor do any other drives that were considered. As such, a
more direct way was necessary to measure the position of the rake that would be synched
in time with the actual temperature and pressure measurements taken by the rake in order
to correlate position with data and create a spatial map of exhaust characteristics.
To measure position, linear potentiometers are used. Linear potentiometers are
devices that have one translating end that effectively changes the resistance of the device
as it extends or retracts. With this method, the potentionmeter is included in a voltage
divider circuit with another resistor. A voltage is applied across the circuit, and the
resulting voltage drop across the potentionmeter can be used to determine its resistance.
This resistance value is then correlated to a position. Both the voltage across the entire
circuit and the voltage drop across the potentiometer are measured in order to achieve the
most accurate measurement possible. Overall, these linear potentiometers provide
several advantages. Perhaps the most beneficial is the fact that a linear potentiometer
does not rely on magnetic inductance such as a linear transducer. Also, the function of
53
the device allows for the translating ends to be placed in convenient locations on the
system.
2.4.3. Pressure Measurement Performance
Another important factor to consider when using the plume rake is its frequency
response. This response is governed principally by the physical characteristics of
associated tubing, ports, and transducers. Ideally, the transducer would be mounted flush
with a port of minimum depth, and the electronics would be directly connected to the
transducer itself, eliminating the need for any tubing. This type of transducer can be
useful for obtaining high frequency pressure data. Unfortunately, the high temperatures
of an exhaust plume require that a transducer used has a cooling system of some kind. In
turn, this cooling system results in greater size and cost. For the BANR facility, it was
determined that steady-state (on the order of 100 Hz) pressure measurements were
sufficient for evaluating mixer performance, allowing standard response transducers to be
used and not mounted in the actual exhaust plume. However, locating standard
transducers remotely from the actual measurement location inherently limits the
frequency response of the overall system. When there is an appreciable volume in the
port, transducer, and tubing, any pressure disturbances has to be transmitted through the
medium to the actual transducer. Accordingly, important variables are the length of
tubing, diameter of tubing, port volume, transducer volume, and sound speed of the
medium.
An analysis was performed for the current configuration of the BANR using the
following method adapted from several different references on measurement
techniques40,41. Two assumptions are made, namely that the fluid is assumed to behave
as an ideal gas, and the tubing is assumed to be rigid. The physical situation is depicted
in Figure 2-25. In the schematic, a transducer with internal dead volume, V, experiences
some measured pressure Pm. This transducer is connected by some tubing of length, L,
inner diameter Dt, and volume Vt. The system is driven by the pressure that is acting at
the entrance of the system, Pa. Initially, the pressure measured by the transducer, Pm is
assumed to be the same as Pa. Thereafter, the pressure acting on the system is a function
54
of time, and the pressure measured by the transducer will also be a function of time,
though it will lag the driving pressure according to the measuring system characteristics.
Figure 2-25 Schematic of Pressure Response Problem
Figure 2-26 is a free-body diagram of an element of fluid in the tubing. Time-dependent
pressure changes will act on the fluid to disturb and move it back and forth in the tubing.
The forces on the fluid are the driving pressure over the area of the tubing, a damping
force from fluid shear forces, and a compression-restoring force.
55
Figure 2-26 Free Body Diagram of the Fluid Element
In this case, ρ is the density of the fluid, x’’ is the acceleration of the fluid, x’ is the
velocity of the fluid, and μ is the viscosity of the fluid. The adiabatic bulk modulus of
elasticity (Em) can be found as follows (for the general case when the tube volume is
much less than the internal dead volume) from the ratio of specific heats (γ) and ambient
pressure:
m a
dpE =- =γP
dVV
Eq. 2.14
If the fluid element in the tube moves a certain distance, the resulting volume change
(dV) can be written in terms of the tubing volume (Dt) and distance moved (x):
(x/4)πDdV 2t Eq. 2.15
This change in volume results in a pressure excess (Pm) defined in terms of the adiabatic
bulk modulus of elasticity, tube diameter, distance moved, and system volume (V):
56
4Vx/DπEP 2tmm Eq. 2.16
Newton’s second law is then applied resulting in the following second order ordinary
differential equation (where L is the length of tubing):
2 2 4 2' ''a t m t tπP D π E D πD Lρ
-8πμL X - X= X4 16V 4
Eq. 2.17
Applying Eq. 2.16 to Eq. 2.17, the final form is attained:
'' 'm m m a2 4
m t m t
4LρV 128μLVP - P +P =P
πE D πE D
Eq. 2.18
This damped system second-order system can be modeled as follows:
KF(t)yyω
2y
ω
1
n2
n
Eq. 2.19
The resulting natural frequency (ωn) and the damping ratio (ζ) being defined as follows:
t mn
D πEω =
2 LρV
Eq. 2.20
ρπE
VL
D
32μζ
m3
t
Eq. 2.21
57
In cases where the fluid temperature is given, the acoustic wave speed of a perfect gas (a)
can be used:
cλRTga Eq. 2.22
Accordingly, Eq. 2.20 and Eq. 2.21 become:
2t
n
D πaω =
2 LV
Eq. 2.23
3t
32 VL=
a D
Eq. 2.24
From Eq. 2.14 and the ideal gas law, it is clear that Em and ρ both vary with pressure
changes, making the system non-linear. Because of this, it is assumed that the changes in
pressure are only small variations about an equilibrium pressure, resulting in changes that
are close to linear.
In cases where volume contained inside the tubing (Vt) is significantly larger than
the internal dead volume of the transducer, it has been shown that slightly different
formulas are appropriate due to the fact that the system behaves more like an operating
organ pipe42:
)4(V/V0.5L
aω
t
n
Eq. 2.25
)4(V/V0.5ρaD
L16ζ t2
t
Eq. 2.26
In either case, it is clear that a length that goes to zero will result in a natural frequency
that increases rapidly. This is handled by considering an equivalent length (Le) that
58
assumes that even though the transducer may be flush-mounted with L=0, there is still
some air present in the vicinity of the transducer diaphragm:
L
D
3π
81LL t
e Eq. 2.27
For under-damped, second-order systems, the response to a step function input can be
characterized additionally by the time the system takes to reach its first response peak
(Tp):
2n
pζ1ω
πT
Eq. 2.28
ns ωζ
4T
Eq. 2.29
With these expressions, the time it takes for the pressure measuring system to respond to
a step change in pressure can be found, as well as the time it takes for the measurement to
be damped to within ± 2% of the steady state value (Ts).
For the example of the plume rake configuration, the fluid properties were taken
to be that of ambient air for standard day values. The tubing was assumed to have a
0.085 inch inner diameter and an overall length of 20 feet. With these characteristics, the
volume contained in the tubing drives the frequency response as opposed to the volume
of the transducer or port having more influence. This calculation yields the result that the
system has a frequency response of approximately 10 Hz. As shown in Figure 2-27, the
length of the tubing has a significant effect on the frequency response. The discontinuity
at a tubing length of 13 feet is the point where the calculation methodology changes and
the volume in the tubing begins to have more influence than the volume of the port and
transducer.
59
0 2 4 6 8 10 12 14 16 18 200
20
40
60
80
100
120
140
160Frequency Response vs. Tubing Length
Tubing Length
Fre
quen
cy (
Hz)
Figure 2-27 Frequency Response vs. Length for 0.125” Tubing
The pressures measured by the rake are measured by an ESP Module that is
capable of taking measurements at up to 500 Hz. However, the maximum frequency that
can actually be physically experienced is on the order of 10 Hz as calculated. Therefore,
it is useless to measure at more than twice the estimated frequency, assuming it is
desirable to be able to perform a spectral analysis. If frequency content is unimportant,
then pressures can be scanned at whatever rate deemed appropriate for the rest of the data
being taken by the data acquisition system.
2.4.4. Motion Control Program
This frequency response also plays a role in determining how and at what speed
the plume rake can be traversed across the plume. If the area of interest is chosen to be a
set of discrete points, the loiter time at each point is determined by how many data points
60
are required to achieve a desired uncertainty level. If the system is only responding at 10
Hz, the loiter time required to get a set number of data points is clearly much greater than
if the system was responding at 50 Hz. However, the loiter time is also limited by the
overall amount of test time available at a given flow condition. Accordingly, the motion
control program for a particular test might need to execute simultaneous moves in both
directions, perhaps utilizing the maximum speed of the actuators. However, if more data
points are desired at only a few locations, the program can be more simple and the loiter
time can be longer. While a general motion profile can be developed to position the rake
in two axes, individual users will need to modify it in order to take data in the most
optimal manner.
2.4.5. Other Uses
Initially, this frame and motion system will be used to position the plume rake
designed specifically for evaluating mixer performance and plume characteristics.
However, the design is flexible in that with slight modifications, a wide variety of
instrumentation can be mounted and positioned in the exhaust plume of the rig. As
mentioned, the drives chosen have significant functionality beyond what is currently
being used. The motors are also sized such that they have the capability to handle more
loading. Accordingly, this system will be invaluable in both the short term and long term
for obtaining data on exhaust plumes.
2.5. Force Measurement
In order to assess the performance of a nozzle, the measurement of axial thrust is
critical. However, also of interest are forces in other directions, as well as moments
generated. To obtain this data, an integrated system consisting of multiple load cells was
incorporated into the BANR facility design. The thrust measurement system (TMS) in
use was designed, manufactured, and certified by Force Measurement Systems of
Fullerton, CA. It consists of a fixed ground frame with a flexurally supported live bed.
The live bed is designed to absorb the thrust loads with six data load strings that are
61
mounted between the live bed and ground frame. The load strings themselves consist of
a load cell with universal flexures on each end. In general, they measure axial thrust, side
thrust, vertical thrust, roll moment, yaw moment, and pitch moment. In addition to being
able measure six loads, the system is also able to perform in situ calibration on five of
these loads, lacking only the ability to calibrate the pitch moment. This calibration is
done through the use of high-precision load cells mounted in tension with universal
flexures. Screw jacks are then used to apply known loads to the calibration load cells.
Overall performance specifications are presented in
Table 2-1. In general, the thrust measurement system is designed to measure
axial thrust with an accuracy of 0.25% of full scale, resulting in a measurement that is
accurate to within 7.5 pounds. At full scale of 3000 pounds of axial thrust, the total
system deflection is approximately 0.05 inches. This minimal deflection will result in
better alignment and accuracy across the range of thrusts being measured.
Table 2-1 TMS Load Specifications
Axial Thrust 3000 lbs. Side Thrust 300 lbs.
Normal Thrust 300 lbs. Test Article Weight 500 lbs
Test Article C.G. 24 in. aft of live ring
2.5.1. Resolving Forces and Moments
The force measurement system incorporates multiple load cells at different
locations and orientations for measuring all loads imparted to the live bed. Accordingly,
62
each load cell measurement has to be resolved into orthogonal components to calculate
the resultant forces and moments in the axial, side, and vertical directions.
For all force and moment calculations the origin and coordinate axes are defined
as in Figure 2-28. When downstream looking forward at the interface of the live ring, the
positive z-direction points at the observer (downstream). The positive y-direction points
up and the positive x-direction points to the right (towards the center of the facility).
Note that axial thrust will accordingly be the opposite of the force in the positive z-
direction. Moments are calculated to be positive in the direction determined by the right-
hand rule. The XY-plane actually lies 2.425 inches upstream from the live ring interface,
which is the plane in which the load cells act. The load cells are configured to provide a
positive signal when in tension and a negative signal when in compression.
Figure 2-28 Live Ring with Sign Convention Used
2.5.1.1. Measurement Load Cells
The measurement capabilities of the thrust stand come from the 6 load cells
designated 0 through 5. These load cells react forces as depicted in Figure 2-29. Load
cells 0, 1, and 2 measure axial force (Z–direction) exclusively. Load cells 3 and 5
63
measure force in both the Y-direction and the X-direction, but not the Z-direction. Load
cell 4 measures force only in the X-direction.
Figure 2-29 Live Ring Free Body Diagram with Measurement Load Cells Depicted
Moments are also resolved using these six load cells. Since the point where the load is
being reacted is known for each load cell, moment arms can be determined. Load cells 0,
1, and 2 are used to resolve the moment about the X-axis. Load cells 1 and 2 are used to
resolve the moment about the Y-axis. Load cells 3, 4, and 5 are used to resolve the
moment about the Z-axis.
Using the given geometry of the live ring and load cells, equations for both the
forces and moments can be readily determined. In the moment equations, moment arms
are given in terms of absolute distance from the coordinate system origin along the
orthogonal axes and radii in the case of the Z-moment.
o ox 3 5 4F =F cos 60 +F cos(60 )-F Eq. 2.30
64
o oy 3 5F =-F sin(60 )+F sin(60 ) Eq. 2.31
z 0 1 2F =F +F +F Eq. 2.32
x 0 0 2 2 1 1M =F y -F y -F y Eq. 2.33
y 2 2 1 1M =F x -F x Eq. 2.34
z 3 3 4 4 5 5M =-F r -F r -F r Eq. 2.35
2.5.1.2. Calibration Load Cells
The ability to calibrate the BANR thrust stand in 5 axes comes from 5 calibration
load cells with screw-jack actuators that are used to apply various calibration loads to the
live ring. Load cells 6 and 7 apply force axially (in the Z-direction). Load cells 8 and 9
apply side force (in the X-direction). Load cell 10 applies force vertically (in the Y-
direction). These forces are depicted in Figure 2-30.
65
+Y
+X+ZF9
F6
F7
F8
F10
Figure 2-30 Free Body Diagram of Force Measurement System with Calibration Loads Depicted
Force can be calibrated in all three axes, but moment calibration is possible in only two
of the three moment axes. Calibration of moment about the X-axis is not possible with
this configuration because of the inability to create a pure couple about the X-axis. A
moment about the X-axis can be calculated using F10, but this will result in a force in the
Y-direction that cannot be countered. The moment about the Y-axis is calibrated using
load cells 6 and 7. The moment about the Z-axis is calibrated using load cells 8 and 9.
Similarly, the calibration load cells can be resolved to yield the resultant forces in
orthogonal directions:
x 8 9F =-F -F Eq. 2.36
y 10F =-F Eq. 2.37
66
z 6 7F =-F -F Eq. 2.38
x 10 10M =-F z Eq. 2.39
y 6 6 7 7 8 8 9 9M =F x -F x +F z +F z Eq. 2.40
z 8 8 9 9M =F y -F y Eq. 2.41
2.5.2. Load Cell and Data Acquisition Calibration
Calibration for forces and moments should be performed over the range of values
expected during a particular test. The maximum expected thrust should be used as a
baseline for axial thrust. Side and vertical forces should be calibrated to approximately
10% of this range. Likewise, moments should be scaled similarly to calibration loads.
First, the appropriate loads for each calibration load cell need to be determined.
Assuming a maximum expected axial thrust of 3000 pounds, the following loads should
be applied:
To calibrate load in X-axis: 8 9F =F =150 lbs.
To calibrate load in Y-axis: 10F =300 lbs.
To calibrate load in Z-axis: 6 7F =F =1500 lbs.
To calibrate moment in Y-axis: 6 7F =-F =1500 lbs.
To calibrate moment in Z-axis: 8 9F =-F =150 lbs.
After these calibrations are performed, a calibration constant for each load and moment
can be determined as follows:
calibrationt
measurement
Fk =
F
67
This calibration constant can then be applied to the measured thrust values from tests to
obtain the most accurate thrust and moment values for the particular rig configuration in
use.
Calibration procedures have also been performed on the signal conditioning for
each individual load cell to aid in providing the most accurate force measurement
possible. This calibration was performed with the signal conditioning system powered on
for 30 minutes and an empty stand (no hardware was mounted to the live ring). First, the
output from each load cell was measured at the Annex patch panel using a precision
voltmeter. Each load cell was then zeroed using the adjustment screws on its front face
to 0 V +/- 1 mV. After zeroing, the span was adjusted for each load cell. At the thrust
stand, each load cell cable was disconnected from its respective load cell and connected
to a precision voltage source that was used to supply 30 mV. The output of each load cell
signal conditioning unit was then measured at the data acquisition system’s patch panel
and the span was adjusted on each unit to yield an output of 10 V +/- 1 mV.
Scale factors were also calculated to accurately determine loads based on input
voltage to the data acquisition system. Each load cell was factory calibrated yielding a
load cell scale of approximately 3 V/mV at 2000 lbf. The excitation voltage of each load
cell was recorded and multiplied by the load cell scale and the signal conditioning gain
applied (10V/30mV = 333.333). This yielded notional data acquisition system input
voltages for full scale loads of 2000 lbf. A scale factor for each load cell was then
calculated by dividing the full scale load by the notional full scale voltage input, yielding
a scale factor of approximately 200 lbf/V.
To ensure the best performance of the load cells and associated data acquisition
system, these procedures should be performed periodically, but especially after major
changes to the rig or installed test article, or the data acquisition system.
2.5.3. Vertical Thrust Anomaly
During pressure calibrations and initial testing, a large vertical force was seen to
be exerted on the rig. After verifying that the force was not a result of faulty data
acquisition or reduction, further investigation revealed that this force increased fairly
68
linearly with increased pressure. Initially, several causes were suggested. First, it was
thought that the flow through the bypass horn was imparting enough momentum to
generate the force. However, it was determined that the flow would have to be traveling
at very high velocities to have such a large effect, and this was determined to be unlikely.
The pressurization of the bypass flexlines was also considered to be a possibility, but
again was considered to incapable of producing such a dramatic effect. Finally, the
pressurization of the bypass steerhorn was investigated. A micrometer was placed on one
of the vertical flange faces of the steerhorn. At a pressure of only 100 psi, this flange was
seen to deflect approximately 0.050”. The steerhorn and flange deflection are depicted in
Figure 2-31.
Figure 2-31 Bypass Steerhorn and its Deflection While Pressurized
As shown in Figure 2-32, this pressurization resulted in a vertical force nearly three times
that anticipated under maximum flow conditions.
69
10 20 30 40 50 60 70 80 90 100 110-1000
-800
-600
-400
-200
0
200Vertical Force vs. Pressure
Pressure (psi)
For
ce (
lbs)
Figure 2-32 Vertical Force Generated by Bypass Horn Pressurization
Accordingly, the pressurization of the steerhorn and the resulting deflection of the flanges
was identified as the source of the large vertical force.
To mitigate this, supports were constructed to support the vertical flanges of the
bypass steerhorn. Additionally, the flexlines were removed and reinstalled in an attempt
to eliminate any preloads being imparted by the flexlines. A close-up view of the
supported flange and flexline is shown in Figure 2-33.
70
Figure 2-33 Steerhorn Flange Supports
These efforts significantly reduced the vertical force transmitted to the rig, as shown in
Figure 2-34.
10 20 30 40 50 60 70 80 90 100-20
-18
-16
-14
-12
-10
-8
-6
-4
-2
0Vertical Force vs. Pressure
Pressure (psi)
For
ce (
lbs)
Figure 2-34 Vertical Force Transmitted to Rig After Supports Installed
71
The latest testing data shows that the vertical force generated now is less than 10% of the
axial thrust, as anticipated. With this solution implemented, the BANR facility is now
capable of measuring forces and moments at all anticipated test conditions.
72
CHAPTER 3. RESULTS
The data presented in this chapter was gathered over the course of several months
in the spring of 2009. First, over 70 tests, including both cold flows and hot-fires, were
performed on the Gulfstream plug nozzle shown in Figure 3-1. These tests were intended
to gather data relating to the internal nozzle flow, unsteadiness, qualitative plume shock
structure, and thrust performance. This group of tests was used to present the overall
conditions throughout the rig as well as interpret the overall performance of the plug
nozzle, and the results are presented here. Other data such as the results relating to
internal flow, unsteadiness, and qualitative plume shock structure can be found in John
Tapee’s thesis35, and are referenced occasionally in this chapter. An additional-fire test
was then performed to investigate the mixing present in the plug nozzle plume, utilizing
the plume rake and traversing system. This data is presented both to show a small
portion of quantitative mixing data for the plug nozzle, and to demonstrate the
functionality of the plume rake and frame system.
73
Figure 3-1 Gulfstream Plug Nozzle35
3.1. Facility Performance
A representative hot-fire test was chosen to illustrate the different aspects of
overall rig performance. These aspects include feed pressures and temperatures, mass
flow rates, internal charging station conditions as measured by the internal flow rakes,
and forces generated The test in question was intended to simulate the plug nozzle cruise
condition at nozzle pressure ratio (NPR) of approximately 6.2 and hot stream temperature
of 1000 degrees F. This is the highest pressure/flow condition that has been tested using
the BANR, and is close to the highest condition possible for the current rig configuration.
3.1.1. Feed Pressures, Temperatures, and Mass Flows
As described in Chapter 2, the air mass flows in the rig are set by critical orifice
plates (the locations of which are depicted in Figure 2-3 and Figure 2-4), and the fuel
74
flow is set by the pressure drop provided across the fuel injector. Accordingly, the
pressures and temperatures upstream of the orifices and fuel injector are the key
parameters for setting the flow conditions to the test article. Figure 3-2 shows a time
history of the pressure upstream of each orifice in the rig.
0 10 20 30 40 50 60 70 80 900
50
100
150
200
250
300
350
400
450
500
Time (s)
Pre
ssur
e (p
sia)
Bypass
Core
Vitiator
Figure 3-2 Time History of Feed Pressures
As annotated in Figure 3-2, a typical test consists of three phases. The first phase
consists of flow adjustments to achieve the desired air flow condition. These adjustments
are made by setting the desired rig pressures upstream of the orifice plates and allowing
the control valves to use their closed-loop control to open or close as needed. This ramp-
up period is somewhat affected by the upstream supply pressure and the set pressures, but
can also be changed by adjusting the control loop settings. The torch ignitor is then
utilized to ignite the combustor. The torch is operated for several seconds to ensure
ignition of the combustor, and then extinguished. The torch can be configured to operate
Ramp-Up
To Condition
On-Condition
Test Time
Longer
Shutdown To
Cool Rig
Ignition
Occurs
75
over a range of chamber pressures, although for most tests it is operated at approximately
120 psi chamber pressure, as shown in Figure 3-3.
0 10 20 30 40 50 60 70 80 900
20
40
60
80
100
120
140
160
180
Time (s)
Pre
ssur
e (p
sia)
Figure 3-3 Time History of Torch Ignitor Chamber Pressure
Once on condition, the actual test time can be anywhere from several seconds to several
minutes in duration, depending on the condition and the amount of data desired. Notable
in Figure 3-2 and Figure 3-3is the jump in pressure that occurs upon ignition. Finally, the
test concludes with a shutdown period, which for hot-fire tests is extended in order to
provide cooling air for internal rig components. On the suggestion of Adam Trebs, this
cool down period is extended long enough to reduce rig temperatures to approximately
100-200 degrees F. Although temperatures will never reach a level where the
components’ structural integrity will be significantly degraded, cooling the rig as
gradually and evenly as possible will hopefully reduce any deformation of parts or
Ignition
Occurs
Torch
Operation
Torch is off but
chamber is
backpressured from
combustor
76
fasteners. The utility of this practice will be verified in the future when the rig is
completely disassembled for the first time.
Figure 3-4 shows the important fuel system pressures.
0 10 20 30 40 50 60 70 80 900
200
400
600
800
1000
1200
Time (s)
Pre
ssur
e (p
sia)
Injector
Supply
Figure 3-4 Time History of Fuel System Pressures
Several aspects of the current fuel supply system are demonstrated in Figure 3-4. First,
the supply pressure decreases when actually flowing fuel due to the inability of the pump
to supply the high flow rate and maintain the set pressure. Additionally, another
significant pressure drop is evident across the fuel fire valve. In the current rig
configuration, these pressure drops have been difficult to accurately characterize,
resulting in the some difficulty in achieving desired fuel flows and combustion
temperatures. This problem will eventually be solved by the installation of a more
capable fuel pump and smaller control valve. The larger pump will supply any
conceivable fuel flow rate with no appreciable pressure drop under flow, and the control
Pump
Pressure Drop
When Flowing
Pressure Drop
Across Fuel
Fire Valve
77
valve will be able to use its entire range to provide the required pressure drop to achieve
the desired fuel flow.
Also important to accurately setting air flows is the temperature of the air being
supplied to the rig. Due to the blowdown process within the air storage tanks feeding the
rig, feed temperatures can vary significantly depending on the set pressures, supply tank
pressure, and ambient temperature. Shown in Figure 3-5 is the temperature of the air
being supplied to the rig. It provides a useful reference of the overall decrease in air
temperature over the course of a test.
0 10 20 30 40 50 60 70 80 9020
40
60
80
100
120
140
160
180
200
Time (s)
Tem
pera
ture
(F
)
Figure 3-5 Air Supply Temperature During A Typical Test
Aside from the period of electrical noise induced by the spark ignition of the torch
ignitor, the temperature starts at the ambient temperature in the Annex. As the test
proceeds and the flow is maintained, the temperature drops between 20 and 30 degrees to
a point below freezing. After the test, the temperature slowly begins to climb back to its
Spark
Energized for
Torch Ignition
Shutdown
78
starting value as the cold internal air is heated by the warmer pipe and external air. In
many cases, the rig itself frosts over, as shown in Figure 3-6. It shows the result of a hot-
fire test where the bypass stream tends to frost even when there is hot gas flowing
through the core, suggesting that the bypass stream is not heated significantly by the core
stream.
Figure 3-6 Frosted Shroud and Rig with Hot Plug
Mass flow data was useful for verifying that a given condition was achieved and
troubleshooting if it was not. Specifically, the data was used to better refine the
predictive code for setting conditions in the rig. Also, the mass flow data is used in the
following section to calculate the ideal thrust of the nozzle and compare it to the actual
measured thrust, and calculate the discharge coefficient of the nozzle. In addition to the
flowmeters, mass flows were calculated based on orifice areas and measured upstream
79
pressures and temperatures. Figure 3-7 compares the low-pass filtered measurements
from both air flowmeters, and the orifice flow rate calculations.
0 10 20 30 40 50 60 70 80 90-5
0
5
10
15
20
25
30
35
Time (s)
Mas
s F
low
(lb
m/s
)
Bypass Flowmeter
Core Flowmeter
Bypass Orifice Calculation
Core Orifice Calculation
Figure 3-7 Time History of Air Flow Rates from Turbine Flowmeters and Orifices
Both figures show excellent agreement and stability for the core stream with the
exception of the electrical noise-induced excursions associated with the torch ignition
voltage command between 23 and 28 seconds. However, there is up to 10% variation
between the bypass flowmeter and orifice calculation over the length of a hot-fire test.
This variation changes throughout the test, reaching a maximum of about 10% at the end
of the test. This effect is most likely a result of the design of the rig. The core spool sits
inside the bypass orifice plate, requiring a thin gap between the two surfaces to allow for
assembly and thermal growth. This area of this annulus is approximately 30% of the
overall orifice plate area under normal conditions. As the core spool heats up during a
80
test, it expands and eliminates part of this annulus. This effect can be modeled as
follows:
initialΔX=αX ΔT Eq. 3.1
where X is the circumference, α is the coefficient of thermal expansion, and T is
temperature. Using appropriate values for stainless steel, the dimensions of the core
spool, and an assumed temperature difference of 1000 degrees, it was seen that the core
spool could conceivably expand to completely eliminate the starting annulus. Therefore,
in any hot-fire test, the temperature increase will decrease the bypass orifice area to some
degree, in turn reducing the overall flow rate since the upstream pressure is held constant.
This scenario is depicted in Figure 3-8. This theory is further supported by the fact that
this effect is not seen during a cold flow test.
Figure 3-8 Core Spool Thermal Growth and Resulting Bypass Orifice Area Variation
81
3.1.2. Charging Station Conditions
The most important rig conditions to consider are those in the charging station, as
this component provides the flow that feeds directly to the test article. As noted in
Chapter 2, the charging station utilizes rakes with total pressure and total temperature
measurements to verify flow conditions entering the nozzle. Each rake has 5 total
temperature measurements, 5 total pressure measurements, and a static pressure
measurement. The measurements are taken at locations that are the theoretical centers of
annuli of equal areas. Each stream has four rakes, offset by 90 degrees to provide full
360 degree azimuthal coverage. The four quadrants housing the rakes are defined in
Figure 3-9. The conditions measured by these rakes are used to determine the overall
NPR and core stream temperature achieved during a given test.
Figure 3-9 Charging Station Quadrant Definition, Looking Upstream
Figure 3-10 through Figure 3-17 show the pressures achieved in both the bypass
rakes and core rakes, respectively.
QUADRANT
I
QUADRANT
II
QUADRANT
III
QUADRANT
IV
82
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-10 Time History of Bypass Rake Pressures, Quadrant I
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-11 Time History of Bypass Rake Pressures-Quadrant II
83
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-12 Time History of Bypass Rake Pressures-Quadrant III
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-13 Time History of Bypass Rake Pressures-Quadrant IV
Malfunctioning
Pressure Probe
84
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-14 Time History of Core Rake Pressures-Quadrant I
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-15 Time History of Core Rake Pressures-Quadrant II
85
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-16 Time History of Core Rake Pressures-Quadrant III
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
si)
Wall StaticCenterline
Second from Center
Middle
Second From WallWall
Figure 3-17 Time History of Core Rake Pressures-Quadrant IV
86
The figures both show the trends of a typical test as discussed before. Additionally, the
pressures vary radially by only 1 or 2%, demonstrating excellent uniformity across the
streams. Finally, the wall static pressure can be seen to be only slightly less than the total
pressure in the stream, indicating the low Mach number design of the charging station.
In addition to radial uniformity, excellent azimuthal uniformity is demonstrated in
Figure 3-18. The pressures in each rake were averaged and compared to each other,
representing the entire 360 degrees of the bypass and core streams. Although there is
some initial non-uniformity between streams, the pressures during the test are uniform to
within approximately 2%.
-10 0 10 20 30 40 50 60 70 80 9010
20
30
40
50
60
70
80
90
100
Time (s)
Tot
al P
ress
ure
(psi
a)
CR1
CR2CR3
CR4
BR1
BR2BR3
BR4
Figure 3-18 Time History of All Charging Station Rakes-CR1 is Core Rake Quadrant I
While the total pressures in both streams follow similar trends, the total
temperatures do not. For the bypass stream, total temperature decreases throughout the
test. For the core stream, total temperature rises sharply as combustion is initiated and
87
then continues to climb slowly over the length of the test. These trends in the bypass and
core streams are shown in Figure 3-19 and Figure 3-20.
0 10 20 30 40 50 60 70 80 90-50
0
50
100
150
200
Time (s)
Tem
pera
ture
(F
)
Centerline
Second from Center
MiddleSecond From Wall
Wall
Supply
Figure 3-19 Time History of Bypass Stream Total Temperature
The total rake temperatures in the bypass stream as well as the air supply temperature
start at approximately ambient temperature. The figure clearly shows an initial radial
variation, with the wall being approximately 10 degrees colder than the centerline. This
was due to a brief test being run previously which reduced the temperature of the outer
wall. As the air begins to flow, the temperature drops significantly at first. There is
significant electrical noise introduced from the energizing of the spark for the torch
ignitor. After ignition, the temperatures remain reasonably stable despite the overall drop
in supply temperature, owing largely to the heat added in the core spool and transferred to
the bypass stream. After the test, the flow rate is reduced, and the temperatures begin
climbing.
Torch Ignitor
Operation
88
0 10 20 30 40 50 60 70 80 900
100
200
300
400
500
600
700
800
900
Time (s)
Tem
pera
ture
(F
)
Centerline
Second from Center
MiddleSecond From Wall
Wall
Figure 3-20 Time History of Core Stream Total Temperature
The core rake temperatures shown in Figure 3-20 behave quite differently. They initially
start slightly above 100 degrees due to thermal soakback from the previously run test. As
the air begins to flow, the temperatures decrease significantly until the combustor is lit.
As the torch ignitor is lit and the combustor initiates, the temperature spikes until the
torch ignitor is extinguished. As the test proceeds, the temperatures rise gradually,
varying slightly in the radial direction with the center being the hottest. After the test, the
temperatures fall very sharply back to a level close to their initial values. If any of the
rake temperatures, orifice temperatures, combustor liner temperatures, or skin
temperatures were seen to be significantly more than approximately 150 degrees F,
additional air was provided after the test to aid in the cooling process. In addition to
radial uniformity, the flow in the core stream shows good azimuthal uniformity,
indicating that the flow conditioning screen stack works as intended to eliminate any
Torch Ignitor
Operation
89
variation in the conditions exiting the combustor. This can be seen in Figure 3-21, which
presents the middle probe of each core rake and their azimuthal locations.
0 10 20 30 40 50 60 70 80 900
100
200
300
400
500
600
700
800
900
1000
Time (s)
Tem
pera
ture
(F
)
45 degrees
135 degrees
225 degrees
315 degrees
Figure 3-21 Time History of Core Temperatures: Azimuthal Variation
These pressure and temperature measurements show that the flow being provided to the
test article is uniform in both the radial and azimuthal directions. It also shows that the
Mach number in both streams is low, as designed.
3.1.3. Forces
As stated previously in Chapter 2, the BANR’s force measurement system is
capable of accurately resolving approximately 3000 pounds of axial thrust and 300
pounds of vertical and side force in its current configuration. Figure 3-22 shows the
forces generated during a typical test. Notable is the significant jump in axial thrust upon
90
ignition of the combustor, as well as the lack of jump in the off-axial forces. This
suggests that the nozzle itself is not the main source of the off-axial forces measured.
The axial force is seen to be approximately 2300 pounds, approximately 75% of the stand
capacity. Accordingly, this particular test article could safely be tested up to an NPR of
approximately 8. Additionally, the side and vertical forces are within 10% of the axial
thrust, also fitting appropriately within the capabilities of the force measurement system.
0 10 20 30 40 50 60 70 80 90-500
0
500
1000
1500
2000
2500
Time (s)
For
ce (
lbs)
Side Force
Vertical Force
Axial Force
Figure 3-22 Time History of Forces
Also notable in the force data is the fact that the signal is relatively noisy, especially in
the axial direction during combustion. Figure 3-23 shows the pressure in the combustor,
suggesting that the majority of the noise in the force data comes from the actual
combustion. For the hot-fire test, the amplitude of the noise is approximately 8 psi.
Ignition of
Combustor
91
0 10 20 30 40 50 60 70 80 900
20
40
60
80
100
120
140
160
Time (s)
Pre
ssur
e (p
sia)
Figure 3-23 Time History of Combustor Pressure for Hot-Fire Test
Figure 3-24 shows the combustor pressure during a cold flow test. When combustion is
absent, the amplitude of the noise is significantly less, on the order of 1-2 psi.
92
0 10 20 30 40 50 60 70 8010
20
30
40
50
60
70
80
90
100
Time (s)
Pre
ssur
e (p
sia)
Figure 3-24 Time History of Combustor Pressure for Cold Flow Test
Fast Fourier transforms were also performed to determine the frequency content of the
data in an attempt to identify if any low-frequency structural modes were present. This
analysis was performed on each load cell to identify modes in the axial direction as well
as off-axial direction. Figure 3-25 shows the fast Fourier transform results for the three
axial load cells.
93
0 10 20 30 40 500
2000
4000
6000
8000
10000
Frequency (Hz)
Pow
er (
lbf2 /H
z)
0 10 20 30 40 500
2000
4000
6000
8000
10000
Frequency (Hz)
Pow
er (
lbf2 /H
z)
0 10 20 30 40 500
2000
4000
6000
8000
10000
Frequency (Hz)
Pow
er (
lbf2 /H
z)
Figure 3-25 Low Frequency Content of Axial Load Cells
Each axial load cell shows a noticeable peak between 18 and 20 Hz, indicating that the
stand is not particularly stiff in the axial direction. The results for the off-axial load cells
are shown in Figure 3-26. In the first two, there seem to be distinct peaks around 20 and
30 Hz, however the magnitude of these peaks is approximately an order of magnitude
less that the peaks seen in the axial load cells. As such, there does not seem to be any
major low-frequency modes present in the off-axial direction.
94
0 10 20 30 40 500
1000
2000
3000
4000
5000
Frequency (Hz)
Pow
er (
lbf2 /H
z)
0 10 20 30 40 500
1000
2000
3000
4000
5000
Frequency (Hz)
Pow
er (
lbf2 /H
z)
0 10 20 30 40 500
1000
2000
3000
4000
5000
Frequency (Hz)
Pow
er (
lbf2 /H
z)
Figure 3-26 Low Frequency Content of Off-Axial Load Cells
3.1.4. Correlation of Desired Conditions with Actual Conditions
The predictive code described in Chapter 2 has demonstrated its usefulness across
a wide variety of conditions, including varying tank supply pressures, ambient
temperatures, and desired NPR. In general, the set points generated by the code always
result in a test NPR within 10% of that desired. As noted, the prediction of fuel flow and
resulting core temperatures is the largest handicap of the system, but enough empirical
data has been gathered at this point to also achieve temperatures within 10% of the
desired condition.
95
Table 3-1 and Table 3-2 show comparisons between predicted conditions and
actual conditions for a representative cold flow test and the hot-fire test under
consideration, respectively. The major difference between cold flow and hot fire tests is
the inaccuracy in the fuel setting, which results in an error that is significantly more than
that in any other condition.
Table 3-1 Cold Flow Test Condition Comparison
Parameter Desired Achieved Difference Core NPR 4.5 4.38 2.7 %
Bypass NPR 4.5 4.55 1.1 % Bypass Ratio 3.0 3.0 0.0 % Core Airflow
(lbm/s) 9.1 8.75 3.8 %
Bypass Airflow (lbm/s)
27.3 26.1 4.4 %
Table 3-2 Hot Fire Test Condition Comparison
Parameter Desired Achieved Difference Core NPR 6.23 6.08 2.4 %
Bypass NPR 6.23 6.12 1.8 % Bypass Ratio 3.0 3.01 0.33 % Core Airflow
(lbm/s) 9.9 10.0 1.0 %
Bypass Airflow (lbm/s)
29.8 28.5 4.4 %
Jet Fuel (lbm/s) 0.166 0.135 18.7 % Average Core
Temperature (deg F) While On Condition
1000 880 12.0 %
As shown, both hot and cold test conditions can be achieved with reasonable accuracy.
Repeatability has also been seen to be reasonable. One thing that can be done to slightly
improve the matching ability is to predict set conditions in real time instead of populating
an entire test matrix beforehand. This allows the test operator to take into account
changes in ambient temperature and tank pressure from day to day, or throughout the
96
course of a single day. However, this is not necessary if accuracy to within a few percent
is sufficient. Additionally, accuracy better than a few percent is probably not realistic
due to the myriad of effects on the rig and air supply that cannot be accurately accounted
for.
Practically speaking, the two major factors in achieving desired conditions are the
variation in bypass air flow due to thermal expansion, and the actual behavior of the
control valves used to regulate the air flow rates. Both issues can be addressed by
modifying the operation of the control valves. First, instead of using pressure to set a
condition, the actual flow rate can be set, eliminating the variation of the bypass flow
during a hot-fire from thermal expansion. Also, the valves tend to perform most
effectively with intermediate supply pressures and pressure settings corresponding to
NPRs above 2. At NPRs lower than 2, experience has shown that setting the pressure to
overshoot slightly and ramp down to the desired condition improves the performance of
the valves. If this is not done, the valves tend to slowly “chase” the condition, never
actually reaching the desired downstream set pressures. This step helps to minimize the
amount of tuning needed for the valves’ control loops.
3.2. Nozzle Performance Results
The data presented in this section was gathered over the course of several test
days from January 28, 2009 to February 23, 2009. The overall test campaign consisted of
79 tests, 58 of which were successful tests at discrete conditions. These tests were further
divided into 21 hot-fire tests and 37 cold-flow tests. The reason for the high number of
tests is that test points were often repeated in order to adjust the Schlieren imaging
system, change camera frame rates, or modify the high-frequency data acquisition. Also,
there is a higher number of tests at low NPRs due to the interest in aerodynamic
performance around NPRs of 1.6 to 2.0. Regardless of the configuration of any other
hardware, force, temperature, pressure, and mass flow data was taken for every test.
Although the NPRs in each stream are slightly different for each test, the core and bypass
NPRs were mass-averaged using Eq. 2.10 to obtain a single value more useful for data
presentation.
97
3.2.1. Axial Thrust
The measured axial force generated as a function of NPR is shown in Figure 3-27.
1 2 3 4 5 6 70
500
1000
1500
2000
2500
NPR
Thr
ust
(lbs)
Cold
Hot
Figure 3-27 Axial Thrust vs. NPR for All Tests
As shown in the figure, the axial thrust climbs linearly with pressure ratio. Also notable
is the fact that the thrust data for the cold flow tests matches that from the hot-fire tests
for the same NPR, verifying that the temperature of the flow affects the thrust only by
varying the total pressure in the nozzle.
3.2.2. Off-Axial Forces
Although axial thrust is of primary interest, side and vertical forces are also
important for determining the overall performance of the rig and feed system. In terms of
rig performance, this off-axis thrust data will be examined more in the future to better
98
characterize the contributions of the rig and feed system to force measurement.
However, at this time, the data is used to ensure the rig is operating safely and there are
no unusual off-axial contributions from the test article. Figure 3-28 shows the off-axial
forces for all the tests conducted. In almost all cases, the forces are negative, meaning
that they exert a force downward and to the port side when looking upstream.
1 2 3 4 5 6 7-250
-200
-150
-100
-50
0
50
NPR
Thr
ust
(lbs)
Side Thrust - Cold
Vertical Thrust - ColdSide Thrust - Hot
Vertical Thrust - Hot
Figure 3-28 Side and Vertical Force vs. NPR for All Tests
There is a fair amount of scatter in all the data presented, probably indicating that a
hysteresis effect caused by the bypass flexlines does contribute significantly to the forces
measured. This hysteresis effect is also demonstrated in Figure 3-29, which shows the
off-axial forces as a percentage of axial thrust. This data also shows a great deal of
scatter, further suggesting that there is probably significant hysteresis present in the
bypass flexlines.
99
1 2 3 4 5 6 70
2
4
6
8
10
12
14
16
18
NPR
Per
cent
Side/Axial - Cold
Vertical/Axial - ColdSide/Axial - Hot
Vertical/Axial - Hot
Figure 3-29 Off-Axial Forces as a Percentage of Axial Thrust for All Tests
3.2.3. Efficiency and Discharge Coefficient Assuming Unmixed Streams
This particular plug nozzle was not designed specifically to generate significant
mixing. Accordingly, the performance of the nozzle was first analyzed assuming two
unmixed streams. The thrust efficiency, one of the key performance parameters
comparing the measured axial thrust to the ideal jet thrust, was used in addition to the
discharge coefficient. For the bypass stream, the ratio of specific heats was assumed to
always be 1.4 while the gas constant was assumed to be 53.3 (ft-lbf)/(lbm-R). For the hot
stream, CEA32 was run for various cases to determine the variation in the ratio of specific
heats and molecular weight. The variation in molecular weight was seen to be minimal,
but the variation in the ratio of specific heats was seen to be as much as 3% as shown in
Figure 3-30. Also shown is the theoretical variation in equivalence ratio with combustor
temperature, assuming a stoichiometric fuel-to-air ratio of 0.067843. To simplify the
100
reduction of the data, an average value of 1.348 was assumed for the ratio of specific
heats for the hot stream. This assumption was seen to only affect the calculation of thrust
efficiency on the order of 0.1%.
700 750 800 850 900 950 1000 1050 1100 1150 12000.12
0.14
0.16
0.18
0.2
0.22
0.24
0.26
Desired Adiabatic Flame Temperature (deg. F)
Inlet Temperature = -20 F
Inlet Temperature = 0 FInlet Temperature = 20 F
0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.261.33
1.335
1.34
1.345
1.35
1.355
1.36
1.365Ratio of Specific Heats vs. Equivalence Ratio
Inlet Temperature = -20 F
Inlet Temperature = 0 FInlet Temperature = 20 F
Figure 3-30 Hot Stream Properties
101
First, the theoretical exit velocity (Ve) of each stream was calculated using the ratio of
specific heats (γ), gas constant (R), stream total temperature (Ttotal) and NPR44.
1γ-1 2γ
totale
2γRT 1V = 1-
γ-1 NPR
Eq. 3.2
The ideal thrust (Fideal) was then determined by mass weighting the exit velocities with
the respective mass flow rates ( corem and bypassm ) as measured by the turbine flowmeters,
which are able to take into account the area variation in the bypass stream.
ideal core,ideal bypass,ideal core e,core bypass e,bypassF = F +F =m V +m V Eq. 3.3
The axial thrust efficiency (ηaxial) was then defined as the measured axial thrust (Fz)
divided by the ideal thrust:
zaxial
ideal
Fη =
F
Eq. 3.4
This data is presented in Figure 3-31. Additionally, the vector sum (Ftotal) of all the
forces (Fx, Fy, Fz) was found and the total force efficiency (ηtotal) was calculated assuming
that side forces were a result of misalignment of the nozzle relative to the force
measurement system.
2 2 2total x y zF = F +F +F Eq. 3.5
totaltotal
ideal
Fη =
F
Eq. 3.6
102
This data is shown in Figure 3-34. Also, the misalignment angle (α) between the
resultant force and the axial direction was computed:
-1 z
total
Fα=cos
F
Eq. 3.7
1 2 3 4 5 6 70.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
NPR
Cold
Hot
Figure 3-31 Nozzle Thrust Efficiency vs. NPR for All Tests Assuming Unmixed Flow
The thrust efficiency data shows an interesting difference between the low NPR
cases (NPR < 3) and high NPR cases (NPR > 3). For the low NPR cases, the efficiency
tends to be clustered around 0.9, with a scatter between 5 and 10%. In general, the hot-
fire tests tend to be more efficient at these low NPRs. However, there appears to be a
non-linear jump in efficiency at approximately NPR = 3. According to Tim Conners of
Gulfstream45, this jump is a result of the internal flow of the nozzle becoming fully
103
supersonic. This can be seen qualitatively in the Schlieren images shown in Figure 3-32
and Figure 3-33. At NPR = 2.59, the primary shock still extends inside the shroud.
However, at NPR = 5.01, this shock is completely external to the nozzle. After this point,
the efficiencies remain fairly constant around 1.05 until the cruise condition where it is
slightly higher.
Figure 3-32 Schlieren Image of NPR = 2.59
Shroud
Boundary
Shocks
Still Inside
Shroud
104
Figure 3-33 Schlieren Image of NPR = 5.01
The total resultant force data shows a similar trend and its magnitude is almost
identical to the axial force data due to the fact that the off-axis forces are only a small
percentage of the axial forces.
Shocks
Completely
Outside
Shroud
105
1 2 3 4 5 6 70.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
NPR
Cold
Hot
Figure 3-34 Nozzle Resultant Force Efficiency vs. NPR for All Tests Assuming Unmixed Flow
Probably the most interesting and curious feature of the thrust efficiency is the
fact that it is greater than unity for many of the cases. There are several sources of error
that could be responsible for this. First, there is the potential for error in the calculation
of the ideal thrust. Eq. 3.2 shows a dependence on gas properties such as R (with
molecular weight included) and γ. These values are well characterized for the bypass
stream, but less so for the core stream when combustion is present. In general, these
contributions will be small because any error is under the square root in the equation.
The other major source of error in the actual data could be from the mass flow
measurements. A bias error of 5% in these measurements would directly correlate to a
5% error in the calculated efficiency. The measurements from the turbine flowmeters are
probably closer to within 1 or 2% accurate based on comparisons to orifice calculations,
106
but this correlation should be monitored closely in the future, as recalibration of the
flowmeters will be necessary at some point. The other sources of error could be from the
actual nozzle flow and rig phenomena. First, the assumption that the two streams remain
completely separated throughout the nozzle is not necessarily accurate. In general, this
assumption is probably not the main contributor due to the fact that both cold and hot
tests show efficiencies greater than unity, but could still have some small effect. This
issue is examined further in the next subsection and the section on plume rake data. A
significant source of error could be from the pressurization of the bypass flexlines. This
pressurization effect has been seen in the side and vertical force data to be as high as 10%
of the axial force, with a hysteresis effect of up to 100% in some cases. Accordingly, it is
not unreasonable to expect a similar contribution to the axial force. Although the
pressure calibrations that have been performed on the rig show only modest contributions
to the axial force from the flexlines, these calibrations were limited to 100 psi and do not
take into consideration any non-linear pressurization effects that might occur at higher
pressures. Finally, as this expression for theoretical thrust does not include any pressure
thrust, it is possible that the complex flow generated in the nozzle and along the plug
surface could be contributing to the axial thrust measured, leading to efficiency values
greater than unity.
Finally, the notional misalignment angle of the resultant force was seen to be
between 2 and 11 degrees as shown in Figure 3-35. A physical misalignment of the same
amount would be readily apparent when looking at the rig. No such misalignment has
been observed, suggesting that the off-axis forces are largely due to the asymmetric load
contributions of the bypass flexlines and the contributions from other rig components.
107
1 2 3 4 5 6 72
3
4
5
6
7
8
9
10
11
NPR
Cold
Hot
Figure 3-35 Notional Misalignment of Total Force
The other key nozzle performance parameter is the discharge coefficient. As
noted before, the assumption is made that the two nozzle streams remain unmixed
throughout the nozzle. These two streams adjust to a common static pressure at the throat
and are then expanded downstream of the throat along the plug surface and shroud. A
schematic of this scenario is shown in Figure 3-36.
108
Figure 3-36 Dual Streams Sharing a Common Throat and Static Pressure
Although the discharge coefficient is usually defined as the ratio of the actual mass flow
to the theoretical mass flow, the notional split between core and bypass flow areas at the
throat needed to calculate mass flow are not known a priori. Accordingly, it was
desirable to define the discharge coefficient in terms of properties that are well known.
The properties that are known are the total pressures and temperatures from the charging
station measurements, the mass flows from the turbine flowmeters, and the physical
throat area. In the data used, the total pressure in the bypass stream is always slightly
higher than the total pressure in the core. From this, it is assumed that the bypass stream
is choked at the throat. Knowing the Mach number of the bypass stream (M8bypass) is
unity at the throat, the mass flow parameter (MFP) can be calculated:
Station 8
Charging Station Rakes
109
γ+1
2 γ-12
γ MMFP=
R γ-11+ M
2
Eq. 3.8
Knowing the mass flow parameter, the theoretical area of the bypass stream (A8bypass) can
be calculated:
•
bypass t,bypass
bypassbypass t,bypass
m TA8 =
MFP(M8 )P
Eq. 3.9
Also, the static pressure at the throat can be calculated using an isentropic relationship
knowing the Mach number of the bypass stream is unity:
t,bypass8 γ
γ-1
PP =
γ+1
2
Eq. 3.10
The Mach number of the core stream (M8core) can then be calculated, as well as the mass
flow parameter, using Eq. 3.11 as before:
γ
γ-1t,core 2core
8
P γ-1= 1+ M8
P 2
Eq. 3.11
The theoretical area of the core stream (A8core) can be calculated:
•
core t,core
corecore t,core
m TA8 =
MFP(M8 )P
Eq. 3.12
Finally, the two theoretical stream areas can be added to get a total theoretical throat area
(Atheoretical):
110
theoretical bypass coreA =A8 +A8 Eq. 3.13
The nozzle discharge coefficient (Cd) is then defined:
theoreticald
throat
AC =
A
Eq. 3.14
This discharge coefficient is shown in Figure 3-37.
1 2 3 4 5 6 70.8
0.85
0.9
0.95
1
1.05
NPR
Cd
Cold
Hot
Figure 3-37 Discharge Coefficient vs. NPR Assuming Unmixed Streams
A notable feature of Figure 3-37 is the fact that the there appears to be different trends for
the cold flow and hot-fire data. As would be expected, this suggests that there is some
effect in the hot-fire tests that is causing the discharge coefficient to differ from cold
111
flows, in some cases even making it higher. Additionally, the discharge coefficient data
shows a conflicting trend with the nozzle efficiencies. For both hot and cold tests, the
discharge coefficient decreases as the NPR increases. This indicates more loss occurring
in the nozzle at the higher NPRs than at the lower, which is the opposite of the trends
shown in the nozzle thrust efficiencies in Figure 3-31 and Figure 3-34. This
contradiction seems to further indicate that error is being introduced from either some
type of geometric variation, the pressurization of the bypass flexlines, or both.
3.2.4. Efficiency and Discharge Coefficient Assuming Perfectly Mixed Streams
For comparison with the unmixed analysis, the thrust efficiency and discharge
coefficient were also calculated assuming perfectly mixed flow. Although the total
pressure (Pt) varies slightly between streams, it can be mass weighted to get an average
value ( tP ).
core t,core bypass t,bypasst
core bypass
m P +m PP =
m +m
Eq. 3.15
The geometric throat area (Athroat) is also fixed. Accordingly, the thrust efficiency
(defined as ηm to differentiate between the previous formulation):
zm
total throat
F=
P A
Eq. 3.16
Also, the theoretical thrust efficiency can be calculated using γ (mass averaged according
to flowmeter data), NPR, exit pressure (Pe), ambient pressure (Pa), total pressure, exit
area (Ae) and throat area:
112
γ+1 γ-12 γ-1 γ
e a em
t throat
P -P A2γ 2 1= 1-
γ-1 γ+1 NPR P A
Eq. 3.17
In Eq. 3.10, the exit area is not defined for the plug nozzle. Additionally, ideal operation
of a plug nozzle will result in no pressure mismatch between exit pressure and ambient
pressure. Accordingly, this term is negated in the calculation. The actual thrust
efficiency data is compared to the theoretical data in Figure 3-38.
1 2 3 4 5 6 7
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
NPR
f
Cold-Measured
Hot-Measured
Cold-Theoretical
Hot-Theoretical
Figure 3-38 Thrust Efficiency vs. NPR for All Tests Assuming Perfectly Mixed Flow
The data collapses onto a single line for both hot and cold tests, as would be expected
from the axial thrust data presented earlier. Additionally, the data shows the expected
trend of nozzle performance as a function of NPR. At low NPR, the thrust coefficient is
low, indicating less efficient nozzle operation due to the shock structures present. As the
113
NPR increases towards the design point of approximately 6.2, the thrust coefficient
continues to increase until it gradually levels off at its maximum value. There is also a
difference between the theoretical and actual values. This indicates that there is actually
a pressure mismatch to some degree, leading to a contribution from the pressure area
term. However, the magnitude of the theoretical data indicate that the calculations made
using measured thrust and total pressure are reasonable. The ratio of the actual thrust
coefficient over the theoretical thrust coefficient is shown in Figure 3-39.
1 2 3 4 5 6 70.78
0.8
0.82
0.84
0.86
0.88
0.9
0.92
0.94
0.96
NPR
Cf/
Cf th
eory
Cold
Hot
Figure 3-39 Ratio of Measured Thrust Coefficient to Theoretical Thrust Coefficient
As expected, Figure 3-39 shows a general trend towards more efficient nozzle operation
at the higher NPRs. However, the magnitude of the ratio also indicates that the nozzle
operation is different from that of an ideal plug nozzle at low NPRs. It also could suggest
that there is some geometrical variation taking place in the vicinity of the throat due to
the increase in temperature and pressure. Overall though, it appears to be more
114
appropriate to represent the efficiency of the nozzle by using the perfectly mixed
assumption.
The discharge coefficient found assuming unmixed streams can then be compared
to the discharge coefficient assuming perfectly mixed flow according to the measured
bypass ratio. This is defined as the measured mass flow (•
measuredm ) divided by the ideal
mass flow (•
idealm ):
•
measured
d •
ideal
mC =
m
Eq. 3.18
The ideal mass flow can be defined in terms of gas properties, total pressure, total
temperature, and throat area. For the calculation, the ratio of specific heats, total
pressure, and total temperature are mass averaged according to the measured bypass ratio.
γ+1
• 2 γ-1t
ideal throat
t
Pγ 2m = A
R γ+1 T
Eq. 3.19
These discharge coefficients for all the tests are shown in Figure 3-40. Like the discharge
coefficient for the unmixed analysis, the trends for hot and cold tests are different, again
indicating that additional effects are present in hot-fire tests. However, they are also
somewhat conflicting in that they likewise indicate less efficient operation at higher
NPRs.
115
1 2 3 4 5 6 70.84
0.86
0.88
0.9
0.92
0.94
0.96
0.98
1
1.02
1.04
NPR
Cd
Cold
Hot
Figure 3-40 Discharge Coefficients
3.3. Plume Rake Data
The plume rake and traverse system proved to be the most challenging aspect of
the instrumentation, both in terms of design as well as its implementation. Making all the
required connections for remotely controlling the motors and drives, as well as the limit
and home switches, was simple and straightforward. The application used for
programming the drives with motion control routines proved to be simple and user-
friendly (although a machine loaded with Windows Vista refused to communicate with
the drives). As such, the motion control aspect of the plume rake system was ready in
relatively short order. However, when sample data was taken, the plume temperature
data was seen to be corrupted with large amounts of noise. Although some noise was
expected with the use of the electric motors, the actual magnitude of the noise was
somewhat disconcerting.
116
3.3.1. Noise Concerns
Several tests were performed to attempt to better identify the specific source of
the noise. First, data was gathered with the motors actually in motion, as well as in an
idle state. Figure 3-41 demonstrates the effect of powering the stepper drives and motors.
Initially, both drives are on, leading to a significant zero offset and a significant noise
level. When one of the drives is turned off, the offset decreases by approximately 50%,
suggesting that the effects of each of the two drives and motors is somewhat equal.
Finally, when both drives are powered down, the abnormal noise level and offset are
eliminated.
0 1000 2000 3000 4000 5000 6000 700070
80
90
100
110
120
130
140
150
160
170
Sample
Tem
pera
ture
(F
)
Figure 3-41 Electrical Noise Induced by Stepper Motors and Drives on a Plume Temperature Measurement
After speaking with the manufacturer of the motors and drives, a specific remedy
was suggested involving the use of ferrite toroids46. These magnetic “doughnuts,” seen
Both
Drives OFF
Horizontal
Drive OFF
Both
Drives ON
117
in Figure 3-42, are intended to mitigate electro-magnetic interference radiated from motor
power leads. The power leads are first twisted (positive with negative), and then looped
around one or more ferrites between 3 and 5 times. This essentially constrains the
radiated magnetic field within the loop, ideally eliminating the radiated noise.
Figure 3-42 Magnetic Ferrite and Installation
The installation of these ferrites was seen to improve the quality of temperature data to a
small degree. However, the major driver in the amount of noise was still seen to be the
amount of current being used to power the stepper motors. As such, the current used was
reduced as much as possible to minimize this effect.
Although there is most likely room for further incremental improvements in terms
of noise mitigation, the current levels were deemed acceptable for demonstrating the
functionality of the plume rake traverse system, as well as gaining insight into the mixing
processes in the plug nozzle.
3.3.2. Plume Maps
A single test of 120 seconds was used to gather data to create partial maps of the total
temperature and total pressure at the exit plane of the nozzle. These maps are shown in
Figure 3-43 and Figure 3-45.
Unfortunately, the actuators did not work precisely as desired due to the lowered
current levels used to power the step motors. It also appears that possibly one or two of
118
the total pressure probes malfunctioned. However, the partial maps do show some
interesting features of the exhaust flow. The temperature map shows the anticipated
temperature distribution, with hot flow in the center and cold flow on the outside.
However, it also seems to indicate that there is some mixing present.
-2 -1 0 1 2 3 4 5 6-4
-3
-2
-1
0
1
2
3
4
X (in.)
Y (
in.)
-100
0
100
200
300
400
500
600
700
800
900
1000
Figure 3-43 2-D Total Temperature Map of Nozzle Exit Plane
When compared to the charging station conditions shown in, it is seen that the hottest
temperature observed by the rake is less than that of the core stream. Although the
maximum temperature seen in the core stream is approximately 1100 degrees F, the
maximum temperature measured by the plume rake is less than 1000, indicating that
mixing between streams is most likely taking place to some degree.
Nozzle
Shroud
Plug
Throat
o F
119
0 20 40 60 80 100 120 140 160 180 2000
200
400
600
800
1000
1200
Time (s)
Tem
pera
ture
(F
)
45 degrees
135 degrees225 degrees
315 degrees
Figure 3-44 Total Temperature in Core Charging Station During Plume Mapping
The pressure map suggests that the total pressure is largely axisymmetric at the exit plane
at this condition. Also, the total pressure distribution from centerline to the shroud
diameter is not clearly stratified, suggesting there is significant shock generated
instability at this condition. Although Gulfstream does suggest that asymmetries have
appeared in CFD results at low NPR conditions such as that tested due to instabilities47,
no significant asymmetries were observed at the exit plane at this condition.
120
-6 -4 -2 0 2 4 6-6
-4
-2
0
2
4
6
X (in.)
Y (
in.)
15
20
25
30
35
Figure 3-45 2-D Total Pressure Map of Nozzle Exit Plane
Another feature to note is the magnitude of the total pressures observed by the rake. At
all locations, they appear to be somewhat lower than the total pressure in the charging
station, shown in Figure 3-46. This is likely due to the shock structures that are present
inside the shroud.
Nozzle
Shroud
Plug
Throat
PSIA
121
0 20 40 60 80 100 120 140 160 180 20014
16
18
20
22
24
26
28
30
Time (s)
Pre
ssur
e (p
sia)
Core Total Pressure
Bypass Total Pressure
Figure 3-46 Charging Station Total Pressures During Plume Mapping
The data gathered and displayed in these maps seems to indicate that the two streams in
the nozzle do mix to some degree. The plume rake and traverse system has also
demonstrated functionality, although it is clear that significant work is involved in
completely mapping an exhaust plume and its development.
122
CHAPTER 4. CONCLUSIONS AND RECOMMENDATIONS FOR FUTURE WORK
4.1. Concluding Remarks on Plug Nozzle Investigation
Several things can be said about the plug nozzle investigation undertaken in the
beginning of 2009. First, a significant gap in existing plug nozzle data has begun to be
addressed. A great deal of information has been gathered about a turbofan nozzle
intended for actual flight, and at NPRs and scales representative of an SSBJ. This data
includes quantitative information about the internal flow, forces generated, and a small
amount of plume mixing data. The newly gathered data also includes quantitative
information about plume shock structures in the form of high-speed Schlieren footage.
This data essentially fits in at the lower end of the plug nozzle database. Significant work
by NASA and DLR cover rocket pressure ratios and nozzle sizes. The research by
NASA under the Supersonic Transport Program23 addresses large airbreathing
applications. The current investigation continues stepping down to airbreathing pressure
ratios and more practical business jet sizes.
Although the force data itself was not critical for Gulfstream’s investigation, it is
intriguing in that for two different formulations of thrust efficiency, the nozzle
demonstrates excellent performance at the design condition where the NPR is
approximately 6.2. Additionally, the nozzle maintains this relatively high performance
until the NPR is decreased to the range where the internal nozzle flow becomes unsteady
and not fully supersonic. Although there is a significant drop in nozzle performance at
these low pressure ratios, this deficiency could be offset in the overall trade study by the
easier aircraft integration enabled by the plug nozzle. The plume mixing data is also
interesting in that aside from demonstrating the utility of the plume rake system, it also
was useful in evaluating the major assumptions used to analyze this nozzle, namely that
the two streams either remain unmixed, or perfectly mixed.
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Aside from the huge amount of data collected, the experience gained throughout
the test campaign is invaluable to the future success of the BANR. Operational
procedures were written, implemented, and refined to allow for smooth and efficient
operation of the rig at all desired test conditions. Experience was gained using high-
frequency instrumentation and its associated data acquisition. A wealth of knowledge
relating to Schlieren imaging and high-speed camera use was obtained as well, albeit
painfully at times. Finally, the overall behavior of the rig under flow was characterized
across a wide operating envelope. Most importantly, the BANR can now be operated to
gather various types of data at any flow condition that the hardware can physically
support.
4.2. Future Work
Although over 60 successful tests were conducted during the plug nozzle test
campaign constituting a huge volume of data, a significant amount of work can still be
done to better characterize the nozzle, and more importantly the BANR itself. With
regards to the plug nozzle, more data points in the region between NPRs of 3 and 6 would
help to better understand and verify CFD results on the performance of the nozzle in the
climb portion of its flight regime. Also, initial plume mixing data has been gathered to
create a partial plume map at the exit plane. However, this map only shows part of the
mixing of the plume at the exit plane and at one test condition. If desired, significant
work could be done to fully map the plume generated by the plug nozzle, including
gathering data at multiple axial stations downstream of the exit plane, as well as at
different test conditions. More experience with operating the traverse system will also be
invaluable in the future. In the near term, the rake will be used to measure plume
development in an IR reduction nozzle. However, interest has been expressed in testing
mixer-ejector nozzles in general, as well as various specialized mixer designs.
The most important area of work in terms of long term operation of the rig is the
characterization of the rig as it relates to measuring forces. As shown in the data, there
seems to be a significant amount of non-repeatability, as well as force levels greater than
expected given the test conditions. It is suspected that the bypass flexlines are the
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primary culprits. For future investigations where accurate force measurement is critical,
it will be crucial to know what forces result from the pressurization of these flexlines. As
important will be the repeatability of this pressurization effect. The initial data presented
here does not seem to have good repeatability, however a more extensive and meticulous
study of this effect could prove otherwise. Specifically, future work should focus on
determining what effect the bypass flexlines have on the force measured in all three
directions and the repeatability of this effect. This will give insight into the overall
accuracy of force measurements made on the rig in its current configuration, and whether
or not significant modifications are necessary to achieve a desired accuracy level.
Fortunately, the tools required to resolve this issue have already been procured or
are in place. A nozzle with an ASME standard contour has already been built and tested
briefly before the plug nozzle. Because this nozzle generates a known amount of purely
axial force given a set of conditions, it will be possible to identify what forces are being
generated by the rig itself as opposed to the nozzle. In addition, the calibration load cells
on the force measurement system will be useful for applying known loads to the thrust
stand, even during rig operation.
4.3. Final Thoughts and Lessons Learned
In general, the amount of time and effort required to make the BANR functional
was far greater than anticipated. Fortunately, there were no major part modifications or
redesigns required. However, several lessons were well learned over the course of 18
months. First, never assume a component is correctly assembled unless you want to have
rapid unplanned disassembly of that particular component. Second, establish design
goals and then work to meet them, otherwise the design effort will take much longer and
creep continuously. Third, some things are extremely difficult to procure, namely metal
e-seals and fuel injectors. Finally, things will almost always take 50% longer than
anticipated in the long run no matter how much planning is done. Do not underestimate
the time it will take to do tedious things such as wiring and plumbing.
Specifically, several things affected the fabrication, assembly, and operational
timetable of the BANR. First, although all the parts and fasteners were carefully
125
designed and specified, the reality of actual assembly ended up requiring a certain degree
of customization and adaptation, especially with fasteners. For the BANR, the assembly
process was inherently a serial operation. As a result, issues with seals and fasteners
were encountered one at a time and could not be dealt with simultaneously.
Unfortunately, each time a new fastener was needed, no less than a day was added to the
assembly process. In the case of some of the advanced seals used in the core stream,
several weeks were added to either re-machine a part or get new seals custom made.
Although a day or two is usually not critical, these slips tend to add up, especially with
weekends and holidays added in. The other major detractor from the schedule was the
sheer number of man hours required to build a facility from scratch. Over 100 wires and
connectors had to be made, connected, run, terminated, and checked for functionality.
Aside from wires, nearly 100 separate pneumatic tubes had to be cut and connected. The
most tedious instrumentation challenge was making connections for the metal-sheathed
thermocouples used in the charging station rakes and hot rig parts. Although a wealth of
experience was gained in doing this type of instrumentation, it came at a high price in
man hours. Finally, the lack of experience with the rig and the simple fact that all the
parts had never been fully assembled necessitated a slow and deliberate assembly and
shakedown process.
At this point, all assembly issues and most operational issues have hopefully been
identified. Barring any major damage or changes to rig components from operation,
disassembly and reassembly should be relatively routine. However, to aid in reassembly,
fasteners must be saved and kept with their respective components. A large and
organized fastener inventory, including all fasteners called for (as well as sizes slightly
larger and smaller) would also aid in the rig assembly. Overall, the most valuable tool for
avoiding a slipping schedule is efficient use of manpower. When there is only a single
specialized task that needs to be done (such as design work, coding, data reduction, etc),
there is no reason to devote more than one or two people. However, when a large amount
of work needs to be completed that is either non-specialized (wiring, plumbing, wrench-
turning, etc) or a combination of general and specialized tasks, sheer manpower is
invaluable. This effect was most evident in the winter of 2008/2009. Previously, there
126
had never been more than two people working full-time on making the rig operational.
However, a third and sometimes fourth person were added in the winter and the progress
leading up to the Gulfstream test campaign was remarkable.
Despite the challenges faced, the Gulfstream test campaign was extremely
successful. Although a working fuel injector was not installed until the day the campaign
started, a huge amount of data was collected efficiently and professionally, even at test
conditions initially thought to be unattainable. The test team encountered and overcame
challenges to gain the knowledge and experience to operate the BANR safely and
effectively. Hopefully this test campaign is only the first in what will be a long and
storied lifetime for the BANR.
LIST OF REFERENCES
127
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APPENDICES
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Appendix A. Rig Setting Code
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Program title: BANR_Flow_Analysis.m % Author: Alex Sandroni % Last Modified: 26 January 2009 % Modified By: Alex Sandroni %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %This program takes a given test condition and calculates the various set points and expected flow conditions throughout the BANR facility. The final outputs are required flowrates, orifice set pressures, and control valve set points. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% clear all close all clc format compact format short g %% Test Day Conditions P_amb = 14.7; %Atmospheric pressure in psi T_tank_F = 30; %Ambient temperature in F, taken from www.weather.com T_tank = T_tank_F + 460; %Air tank temperature in Rankine T_tank_total = T_tank; % Air tank stagnation temperature in R assuming %stagnant air in tank P_tank = 2000; %Starting air tank pressure in psia %% Flow Areas and Coefficients Cd_orifice = 0.84; %Discharge coefficient of long orifices Cd_nozzle = 0.97; % Discharge coefficient for nozzle A_vitiator_orifice = 5.7424/144; %Core Orifice area in ft^2 A_core_orifice = (7*pi*(0.4375^2)/4)/144; %Core orifice area in ft^2 %Formerly 0.328 holes on core orifice A_bypass_orifice = 1.15*(20*pi*(.516^2)/4)/144; %Bypass Orifice area, ft^2 A_ASME = ((pi*5.884^2)/4)/144; % ASME Calibration Nozzle Area in ft^2 A_plug_hot = 21.5/144; %Core flow area at test article interface for plug A_plug_bypass = 41.8/144; %Bypass area at test article interface for plug A_plug_throat = 24.2/144; %Throat area for plug in ft^2 A_core_screen = pi*((6.968/2)^2 - (1.506/2)^2); %core screen area in in^2 A_bypass_screen = pi*((12.864/2)^2 - (7.839/2)^2); %bypass screen area,in^2 %% Properties of Air and Jet Fuel SL = 0.820; % Specific gravity of jet fuel
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gamma = 1.4; % Ratio of specific heats for combustion gas gc = 32.174; %in (lbm-ft)/(lbf-sec^2) R = 1716/gc; %specific gas constant in (ft-lbf)/(lbm-R) n = 1.04; % polytropic constant (somewhere between isothermal(1) and %adiabatic(1.4) blowdown --> based on empirical observations) %% Desired Test Conditions Type = 2; %Cold Flow = 1, Hot Flow = 2; NPR = 3; % Desired overall nozzle pressure ratio (from nozzle throat) BPR = 3; % Desired bypass ratio (bypass flow/core flow) T_core_F = 700; % Desired core flow temperature in degrees F T_core = T_core_F + 460; % Conversion of desired core temperature to deg R %% Calculation of Mass Flows, Pressures and Temperatures P_total = NPR*P_amb; %Total pressure at throat in psi T_throat = T_tank*(P_total/P_tank)^((n-1)/n); %Temperature in Rankine in throat assuming polytropic process if Type==1 % cold flow T_core = T_throat; elseif Type==2 %hot fire T_core = T_core; end T_mean = (1/(1+BPR))*T_core + (BPR/(1+BPR))*T_throat; % Average temperature based on weighted mass flow ratio T_mean_total = ((gamma+1)/2)*T_mean; % Assume flow is choked at throat mdot_tot = P_total*144*A_plug_throat*Cd_nozzle*((gc*gamma)/(R*T_mean_total)) ^0.5*((gamma+1)/2)^-((gamma+1)/(2*(gamma-1))); mdot_core = mdot_tot/(1+BPR); mdot_bypass = mdot_tot - mdot_core; %Guess orifice pressures and iterate to get final orifice pressures nb = 1.1; %polytropic contstant for the bypass stream c = 50; d = 400; P_bypass_orifice_guess = (c+d)/2; bypass_difference = 20; count = 1; while abs(bypass_difference) > 10 T_bypass_orifice = T_tank*(P_total/P_bypass_orifice_guess)^((nb-1)/nb); %Temperature in Rankine in throat assuming polytropic process P_bypass_orifice = (((mdot_bypass/(A_bypass_orifice*Cd_orifice)) *((R*T_bypass_orifice)/(gamma*gc))^0.5*((2/(gamma+1))^((gamma+1)/ (2*(gamma-1))))^-1))/144; % Desired pressure upstream of bypass orifice in psi assuming that Mach %number is neglibible upstream of orifice plate bypass_difference = P_bypass_orifice - P_bypass_orifice_guess; if bypass_difference > 0 c = P_bypass_orifice; else d = P_bypass_orifice; end
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P_bypass_orifice_guess = (c+d)/2; count = count + 1; end nc = 1.05; %polytropic constant for core stream; q = 100; r = 2000; P_core_orifice_guess = (q+r)/2; core_difference = 100; kount = 1; while abs(core_difference) > 10 T_core_orifice = T_tank*(P_total/P_core_orifice_guess)^((nc-1)/nc); %Temperature in Rankine in throat assuming polytropic process P_core_orifice = (((mdot_core/(A_core_orifice*Cd_orifice)) *((R*T_core_orifice)/(gamma*gc))^0.5*((gamma+1)/2)^((gamma+1)/(2*(gamma-1)))))/144; % Desired pressure upstream of bypass orifice in psi assuming that Mach %number is neglibible upstream of orifice plate core_difference = P_core_orifice - P_core_orifice_guess; if core_difference > 0 q = P_core_orifice; else r = P_core_orifice; end P_core_orifice_guess = (q+r)/2; kount = kount + 1; end P_bypass_set = P_bypass_orifice; %Pressure drop in bypass stream negligible P_core_set = 1.179*P_core_orifice; %Pressure drop through core from %emprirical observations P_vitiator_cold = (((mdot_core/(A_vitiator_orifice*Cd_orifice))* ((R*T_core_orifice)/(gamma*gc))^0.5*((gamma+1)/2)^ ((gamma+1)/(2*(gamma-1)))))/144; %% Display Values if Type == 1 fprintf('The nozzle pressure ratio is: %5.3f\n',NPR) fprintf('The bypass ratio is: %5.3f\n',BPR) fprintf('The total airflow is: %5.3f lbm/s \n',mdot_tot) fprintf('The bypass airflow is: %5.3f lbm/s \n',mdot_bypass) fprintf('The core airflow is: %5.3f lbm/s \n',mdot_core) fprintf('The vitiator pressure is: %5.1f psi \n',P_vitiator_cold) fprintf('Set the bypass stream pressure to: %5.1f psi \n',P_bypass_set) fprintf('Set the core stream pressure to: %5.1f psi \n',P_core_set) %Line Output for Type 1 Test %[mdot_tot mdot_core mdot_bypass mdot_fuel P_core_set P_bypass_set %P_vitiator_cold] elseif Type==2 %% Vitiator Calculations
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a = 30; %Low end OF guess for bisection method b = 120; %High end OF guess for bisection method OF = (a+b)/2; T_feed = T_core_orifice; % Assumed air temperature entering combustor, %colder than tank due to blowdown error = 1; k = 1; while abs(error) > 0.1; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Delete archived CEA files %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% delete Detn.inp delete Detn.out delete Detn.plt %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Pc = [100]; %% Chamber pressure [psia] --> initial value to execute CEA %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % CEA input/output block for Jet-A and Air %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ox1 = 'Air'; %% primary oxidizer ox2 = ' '; %% secondary oxidizer fu1 = 'Jet-A(L)'; %% primary fuel fu2 = ' '; %% secondary fuel ox1wt = 100; %% wt fraction of primary oxid in total oxid [1] ox2wt = 0; %% wt fraction of secondary oxid in total oxid [1] fu1wt = 100; %% wt fraction of primary oxid in total oxid [1] fu2wt = 0; %% wt fraction of secondary oxid in total oxid [1] ox1T = 480; %% optional input of primary oxid temperature which %enthalpy is evaluated [degR] ox2T = 0; %% optional input of secondary oxid temperature %which enthalpy is evaluated [degR] fu1T = 500; %% optional input of primary fuel temperature %which enthalpy is evaluated [degR] fu2T = 0; %% optional input of secondary fuel temperature %which enthalpy is evaluated [degR] PR = []; %% pressure ratios [Pc/Pe] subar = []; %% subsonic area ratios [A/At] supar = []; %% supersonic area ratios [A/At] CR = 0; %% chamber contraction ratio [Ac/At] flow = 'eq'; %% flow type [eq or fz] out = 'Ar t O2 H2O CO2 N2 mol gam'; %% maximum eight output parameters in one call to CEA
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for i=1:length(OF) inpgen_rocket_2(ox1,ox2,ox1wt,ox2wt,ox1T,ox2T,fu1,fu2,fu1wt,fu2wt,fu1T, fu2T,Pc,OF(i),PR,subar,supar,CR,flow,out); %% execute CEA600 system('CEA600.exe'); %% extract output from plot file (.plt) DATA = load('Detn.plt'); Tc(i) = DATA(1,2); %% adiabatic flame temperature [K] MW(i) = DATA(1,7); %% molecular weight gam(i) = DATA(1,8); %% ratio of specific heats cstar(i)=sqrt(8314.472*Tc(i)/(MW(i)*gam(i)))*((gam(i)+1)/2)^ ((gam(i)+1)/(2*(gam(i)-1))); end cstar = cstar/0.3048; %% cstar, fps Tc_F = Tc*9/5-460; %% convert adiabatic T to degF Tc = Tc_F + 460; if Tc > T_core a = OF; OF = (a+b)/2; else b = OF; OF = (a+b)/2; end error = (T_core - Tc) k = k+1; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Chamber Pressure, Chamber Temperature, and C* % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FAR = 1/OF; mdot_fuel = 1.2*mdot_core*FAR; % Combustor has demonstrated approximately 80% efficiency in current configuration mdot_fuel_GPM = mdot_fuel*8.9772; % Fuel mass flowrate in gallons per minute Pc = (mdot_core+mdot_fuel)*cstar/(gc*(A_vitiator_orifice*Cd_orifice)*144); %% chamber pressure P_vitiator_cold = (((mdot_core/(A_vitiator_orifice*Cd_orifice)) *((R*T_core_orifice)/(gamma*gc))^0.5*((gamma+1)/2)^ ((gamma+1)/(2*(gamma-1)))))/144;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Fuel Pressures % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Fuel Injector Pressure Drop Calculation P_injector = ((mdot_fuel + 0.1194)/0.0124)^2; % Injector curve fit from %factory calibration data Cv_marotta = 0.245; % Marotta MV-74 flow coefficent P_marotta = (mdot_fuel*8.9772*(SL)^0.5/Cv_marotta)^2; %Pressure drop across %Marotta valve in psi --> Experiments suggest this underestimates P_vitiator_hot = Pc; % Vitiator Pressure as calculated by CEA P_fuel_downstream = P_vitiator_hot + P_injector + P_marotta; %Required %pressure downstream of fuel control valve in psi P_fuel_upstream = P_fuel_downstream + 0.15*P_injector; % Adjustment for %pump performance %% Display of Pertinent Values fprintf('The nozzle pressure ratio is: %5.3f\n',NPR) fprintf('The bypass ratio is: %5.3f\n',BPR) fprintf('The total airflow is: %5.3f lbm/s \n',mdot_tot) fprintf('The bypass airflow is: %5.3f lbm/s \n',mdot_bypass) fprintf('The core airflow is: %5.3f lbm/s \n',mdot_core) fprintf('The fuel flow needed is: %5.3f lbm/s \n',mdot_fuel) fprintf('The vitiator pressure before ignition is: %5.1f psi \n', P_vitiator_cold) fprintf('The vitiator pressure after ignition is: %5.1f psi \n', P_vitiator_hot) fprintf('The core temperature is: %5.1f degrees F \n',Tc_F) fprintf('Set the bypass stream pressure to: %5.1f psi \n',P_bypass_set) fprintf('Set the core stream pressure to: %5.1f psi \n',P_core_set) fprintf('The required pressure upstream of the injector is: %5.1f psi \n', P_fuel_downstream) fprintf('Set the fuel backpressure regulator to: %5.1f psi \n', P_fuel_upstream) %Line Output for Type 2 Test % [mdot_tot mdot_core mdot_bypass mdot_fuel P_core_set P_bypass_set %P_vitiator_hot P_fuel_downstream] end
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Appendix B. Plume Data Reduction Code
%************************************************************ % FILENAME: BANR_Plume_Data.m % AUTHOR: Alex Sandroni % DATE CREATED: 24 March 2009 % MODIFIED BY: Alex Sandroni % DATE MODIFIED: 13 April 2009 %************************************************************ %************************************************************ %This code is used to reduce temperature and pressure data gathered by the plume rake. It reads temperature and positioning data from the main test data file. It reads pressure data from the ESP module test data files. %It uses the parameters of the plume motion control program to organize the data into arrays in order to create spatial maps of pressure and temperature. %************************************************************ clear all close all clc %% Test Setup and Configuration %************** % File Details %************** ScanRate = 100; % Set by LabVIEW program (scans/sec) StartTime = 40; % Time before test period (sec) ShiftTime = 1; % Time to position for next sweep (sec) Sweeps = 20; % Number of sweeps to perform during test SweepTime = 5; % Time to perform a sweep (sec) sweeppoints = ScanRate*SweepTime + 1; % Data points taken per scan TestPrefix = 'Plume Sweep - Exit Plane '; ZeroDataFNamePrefix = '04_09_2009_223840'; TestDataFNamePrefix = '04_09_2009_233718'; dataFilePath = [pwd filesep 'Main_Test_Data' filesep]; % set default grid on set(0,'DefaultAxesXGrid','on','DefaultAxesYGrid','on','DefaultAxesZGrid','on') %========================================================================== %========================================================================== % LOAD TEST CONFIGURATION
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%========================================================================== %========================================================================== PlotMonth=TestDataFNamePrefix(1:2); PlotDay=TestDataFNamePrefix(4:5); PlotYear=TestDataFNamePrefix(7:10); PlotHour=TestDataFNamePrefix(12:13); PlotMin=TestDataFNamePrefix(14:15); PlotSec=TestDataFNamePrefix(16:17); PlotDate=[PlotMonth, '/', PlotDay, '/', PlotYear]; PlotTime=[PlotHour, ':', PlotMin, ':', PlotSec]; TestID=[TestPrefix, ' - ', PlotDate, ' (', PlotTime, ') ']; disp(sprintf('\nData Reduction for %s\n',TestID)); %========================================================================== %========================================================================== %% CONSTANTS %========================================================================== %========================================================================== g = 32.174; % Gravity factor (lbm-ft)/(lbf-sec^2) Patm = 14.679; % Atmospheric pressure (psia) gamma = 1.4; % Ratio of specific heats for air R = 1716/32.2; % Gas constant for air (ft-lbf)/(lbm-R) %========================================================================== %========================================================================== %% LOAD TEST DATA FILE AND ASSIGN VARIABLES %========================================================================== %========================================================================== disp(sprintf('Reading Test Data and Transfer Files: %s', [TestDataFNamePrefix '.xls'])); t0 = clock; datafile = load([dataFilePath TestDataFNamePrefix '.xls']); % Calculate Length of Test scans = length(datafile(:,1)); dt = 1/ScanRate; Time = ((1:scans)*dt)'; % Length of test data file [s]
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%========================================== % Temperatures (all temperatures in deg F) %========================================== %Put all raw thermocouple data into array for conversion routine CJC_dF = datafile(:,69); % Thermistor Temperature K_F = [datafile(:,1) datafile(:,2) datafile(:,3) datafile(:,4) datafile(:,5) datafile(:,6) datafile(:,7) datafile(:,8) datafile(:,9) datafile(:,10) datafile(:,11) datafile(:,12) datafile(:,13) datafile(:,14) datafile(:,15) datafile(:,16) datafile(:,17) datafile(:,18) datafile(:,19) datafile(:,20) datafile(:,21) datafile(:,22) datafile(:,23) datafile(:,24) datafile(:,25) datafile(:,26) datafile(:,27) datafile(:,28) datafile(:,29) datafile(:,30) datafile(:,31) datafile(:,32) datafile(:,33) datafile(:,34) datafile(:,35) datafile(:,36) datafile(:,37) datafile(:,38) datafile(:,39) datafile(:,40) datafile(:,41) datafile(:,42) datafile(:,43) datafile(:,44) datafile(:,45) datafile(:,46) datafile(:,47) datafile(:,48) datafile(:,49) datafile(:,50) datafile(:,51) datafile(:,52) datafile(:,53) datafile(:,54) datafile(:,55) datafile(:,56) datafile(:,57) datafile(:,58) datafile(:,59) datafile(:,60) datafile(:,61) datafile(:,62) datafile(:,63) datafile(:,64) datafile(:,65) datafile(:,66) datafile(:,67) datafile(:,68)]; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% LOAD PRESSURE DATA FROM ESP DATA REDUCTION CODE %% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% PlumeTransFile = [pwd filesep 'transfer' filesep 'plume_transfer_' TestDataFNamePrefix '.dat']; % binary transfer file fin = fopen(PlumeTransFile,'r'); plume_scans = fread(fin,1,'integer*4'); plume_ScanRate = fread(fin,1,'integer*4'); % read used pressure transducers P_Plume_1 = fread(fin,plume_scans,'real*4'); P_Plume_2 = fread(fin,plume_scans,'real*4'); P_Plume_3 = fread(fin,plume_scans,'real*4'); P_Plume_4 = fread(fin,plume_scans,'real*4'); P_Plume_5 = fread(fin,plume_scans,'real*4'); P_Plume_6 = fread(fin,plume_scans,'real*4'); P_Plume_7 = fread(fin,plume_scans,'real*4'); P_Plume_8 = fread(fin,plume_scans,'real*4'); P_Plume_9 = fread(fin,plume_scans,'real*4'); P_Plume_10 = fread(fin,plume_scans,'real*4'); fclose(fin);
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%========================================================================== %========================================================================== %% DATA REDUCTION %========================================================================== %========================================================================== %========================================== % Temperatures %========================================== [CJC_mV,CJC_dF] = CJC_Volts_To_mV_For_Type_K(CJC_dF); rows = size(K_F); CJC_mV = CJC_mV*ones(1,rows(2)); [K_Output_dF] = Type_K_V_to_dF_with_Ref_Temp(K_F,CJC_mV); T_Plume_1 = K_Output_dF(:,57); % Temperature Probe 1 T_Plume_2 = K_Output_dF(:,58); % Temperature Probe 2 T_Plume_3 = K_Output_dF(:,59); % Temperature Probe 3 T_Plume_4 = K_Output_dF(:,60); % Temperature Probe 4 T_Plume_5 = K_Output_dF(:,61); % Temperature Probe 5 T_Plume_6 = K_Output_dF(:,62); % Temperature Probe 6 T_Plume_7 = K_Output_dF(:,63); % Temperature Probe 7 T_Plume_8 = K_Output_dF(:,64); % Temperature Probe 8 T_Plume_9 = K_Output_dF(:,65); % Temperature Probe 9 T_Plume_10 = K_Output_dF(:,66); % Temperature Probe 10 disp(sprintf(' Finished: %.4f sec\n',etime(clock,t0))); disp(sprintf('Performing Data Reduction, Please Stand By...')); t0 = clock; %============================================ % Filtering of Temperature and Pressure Data %============================================ [d,c] = butter(4,2/(ScanRate/2)); T_Plume_1_filtered = filter(d,c,T_Plume_1); T_Plume_2_filtered = filter(d,c,T_Plume_2); T_Plume_3_filtered = filter(d,c,T_Plume_3); T_Plume_4_filtered = filter(d,c,T_Plume_4); T_Plume_5_filtered = filter(d,c,T_Plume_5); T_Plume_6_filtered = filter(d,c,T_Plume_6); T_Plume_7_filtered = filter(d,c,T_Plume_7); T_Plume_8_filtered = filter(d,c,T_Plume_8); T_Plume_9_filtered = filter(d,c,T_Plume_9); T_Plume_10_filtered = filter(d,c,T_Plume_10); %========================================== % Conversion of Raw Positioning Data %========================================== Vsupply_X = 24; % Voltage supplying voltage divider circuit (horizontal)
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Vsupply_Y = 24; % Voltage supplying voltage divider circuit (vertical) Vread_X = datafile(:,115); % Voltage across potentiometer (horizontal) Vread_Y = datafile(:,116); % Voltage across potentiometer (vertical) Rdiv_X = 15e3; % Constant resistor in voltage divider circuit (horizontal) Rdiv_Y = 4.7e3; % Constant resistor in voltage divider circuit (vertical) R_X_initial = 5000; % Resistance of potentiometer at zero (horizontal) R_Y_initial = 110; % Resistance of potentiometer at zero (vertical) R_X = Rdiv_X./((Vsupply_X./Vread_X) - 1); % Resistance of pot. (horizontal) R_Y = Rdiv_Y./((Vsupply_Y./Vread_Y) - 1); % Resistance of pot. (vertical) X = 0.0030.*(R_X_initial - R_X); % X position from potentiometer feedback Y = 0.0013.*(R_Y - R_Y_initial); % Y position from potentiometer feedback %========================================== % Creation of Arrays %========================================== a = StartTime*ScanRate; sweep = SweepTime*ScanRate; b = a + sweep; Horizontal(1,:) = X(a:b); Vertical(1,:) = Y(a:b); Y_ave(1) = mean(Vertical(1,:)); Temp_1(1,:) = T_Plume_1_filtered(a:b); Temp_2(1,:) = T_Plume_2_filtered(a:b); Temp_3(1,:) = T_Plume_3_filtered(a:b); Temp_4(1,:) = T_Plume_4_filtered(a:b); Temp_5(1,:) = T_Plume_5_filtered(a:b); Temp_6(1,:) = T_Plume_6_filtered(a:b); Temp_7(1,:) = T_Plume_7_filtered(a:b); Temp_8(1,:) = T_Plume_8_filtered(a:b); Temp_9(1,:) = T_Plume_9_filtered(a:b); Temp_10(1,:) = T_Plume_10_filtered(a:b); Press_1(1,:) = P_Plume_1(a:b); Press_2(1,:) = P_Plume_2(a:b); Press_3(1,:) = P_Plume_3(a:b); Press_4(1,:) = P_Plume_4(a:b); Press_5(1,:) = P_Plume_5(a:b); Press_6(1,:) = P_Plume_6(a:b); Press_7(1,:) = P_Plume_7(a:b); Press_8(1,:) = P_Plume_8(a:b); Press_9(1,:) = P_Plume_9(a:b); Press_10(1,:) = P_Plume_10(a:b); shift = ShiftTime*ScanRate;
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for i = 2:Sweeps a = b + shift; b = a + sweep; Horizontal(i,:) = X(a:b); Vertical(i,:) = Y(a:b); Y_ave(i) = mean(Vertical(i,:)); Temp_1(i,:) = T_Plume_1(a:b); Temp_2(i,:) = T_Plume_2(a:b); Temp_3(i,:) = T_Plume_3(a:b); Temp_4(i,:) = T_Plume_4(a:b); Temp_5(i,:) = T_Plume_5(a:b); Temp_6(i,:) = T_Plume_6(a:b); Temp_7(i,:) = T_Plume_7(a:b); Temp_8(i,:) = T_Plume_8(a:b); Temp_9(i,:) = T_Plume_9(a:b); Temp_10(i,:) = T_Plume_10(a:b); Press_1(i,:) = P_Plume_1(a:b); Press_2(i,:) = P_Plume_2(a:b); Press_3(i,:) = P_Plume_3(a:b); Press_4(i,:) = P_Plume_4(a:b); Press_5(i,:) = P_Plume_5(a:b); Press_6(i,:) = P_Plume_6(a:b); Press_7(i,:) = P_Plume_7(a:b); Press_8(i,:) = P_Plume_8(a:b); Press_9(i,:) = P_Plume_9(a:b); Press_10(i,:) = P_Plume_10(a:b); end Y_ave = Y_ave'; Y_coord = Y_ave*ones(1,SweepTime*ScanRate+1); for u = 2:2:Sweeps Horizontal(u,:) = fliplr(Horizontal(u,:)); Temp_1(u,:) = fliplr(Temp_1(u,:)); Temp_2(u,:) = fliplr(Temp_2(u,:)); Temp_3(u,:) = fliplr(Temp_3(u,:)); Temp_4(u,:) = fliplr(Temp_4(u,:)); Temp_5(u,:) = fliplr(Temp_5(u,:)); Temp_6(u,:) = fliplr(Temp_6(u,:)); Temp_7(u,:) = fliplr(Temp_7(u,:)); Temp_8(u,:) = fliplr(Temp_8(u,:)); Temp_9(u,:) = fliplr(Temp_9(u,:)); Temp_10(u,:) = fliplr(Temp_10(u,:)); Press_1(u,:) = fliplr(Press_1(u,:)); Press_2(u,:) = fliplr(Press_2(u,:)); Press_3(u,:) = fliplr(Press_3(u,:)); Press_4(u,:) = fliplr(Press_4(u,:)); Press_5(u,:) = fliplr(Press_5(u,:)); Press_6(u,:) = fliplr(Press_6(u,:)); Press_7(u,:) = fliplr(Press_7(u,:)); Press_8(u,:) = fliplr(Press_8(u,:)); Press_9(u,:) = fliplr(Press_9(u,:)); Press_10(u,:) = fliplr(Press_10(u,:)); end
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% Create arrays for all probes d_probe = 0.125; dy = 1.26; % Probe center-to-center distance offset = 0.184; % Probe 11 is this distance above rig centerline to start Y_T_1 = Y_coord + offset + 10*dy; % Top probe (PL-1) Y_P_1 = Y_coord + offset + 9*dy; % PL-2 Y_T_2 = Y_coord + offset + 8*dy; % PL-3 Y_P_2 = Y_coord + offset + 7*dy; % PL-4 Y_T_3 = Y_coord + offset + 6*dy; % PL-5 Y_P_3 = Y_coord + offset + 5*dy; % PL-6 Y_T_4 = Y_coord + offset + 4*dy; % PL-7 Y_P_4 = Y_coord + offset + 3*dy; % PL-8 Y_T_5 = Y_coord + offset + 2*dy; % PL-9 Y_P_5 = Y_coord + offset + dy; % PL-10 Y_P_6 = Y_coord + offset; % PL-11 (closest probe to actual rig centerline) Y_T_6 = Y_coord + offset - dy; % PL-12 Y_P_7 = Y_coord + offset - 2*dy; % PL-13 Y_T_7 = Y_coord + offset - 3*dy; % PL-14 Y_P_8 = Y_coord + offset - 4*dy; % PL-15 Y_T_8 = Y_coord + offset - 5*dy; % PL-16 Y_P_9 = Y_coord + offset - 6*dy; % PL-17 Y_T_9 = Y_coord + offset - 7*dy; % PL-18 Y_P_10 = Y_coord + offset - 8*dy; % PL-19 Y_T_10 = Y_coord + offset - 9*dy; % Bottom probe (PL-20) % Create arrays to interpolate grid points between measured data [Xi Yi] = meshgrid(-2:.05:6,-10:.05:10); Temp_1i = griddata(Horizontal,Y_T_1,Temp_1,Xi,Yi); Temp_2i = griddata(Horizontal,Y_T_2,Temp_2,Xi,Yi); Temp_3i = griddata(Horizontal,Y_T_3,Temp_3,Xi,Yi); Temp_4i = griddata(Horizontal,Y_T_4,Temp_4,Xi,Yi); Temp_5i = griddata(Horizontal,Y_T_5,Temp_5,Xi,Yi); Temp_6i = griddata(Horizontal,Y_T_6,Temp_6,Xi,Yi); Temp_7i = griddata(Horizontal,Y_T_7,Temp_7,Xi,Yi); Temp_8i = griddata(Horizontal,Y_T_8,Temp_8,Xi,Yi); Temp_9i = griddata(Horizontal,Y_T_9,Temp_9,Xi,Yi); Temp_10i = griddata(Horizontal,Y_T_10,Temp_10,Xi,Yi); Press_1i = griddata(Horizontal,Y_P_1,Press_1,Xi,Yi); Press_2i = griddata(Horizontal,Y_P_2,Press_2,Xi,Yi); Press_3i = griddata(Horizontal,Y_P_3,Press_3,Xi,Yi); Press_4i = griddata(Horizontal,Y_P_4,Press_4,Xi,Yi); Press_5i = griddata(Horizontal,Y_P_5,Press_5,Xi,Yi); Press_6i = griddata(Horizontal,Y_P_6,Press_6,Xi,Yi); Press_7i = griddata(Horizontal,Y_P_7,Press_7,Xi,Yi); Press_8i = griddata(Horizontal,Y_P_8,Press_8,Xi,Yi); Press_9i = griddata(Horizontal,Y_P_9,Press_9,Xi,Yi); Press_10i = griddata(Horizontal,Y_P_10,Press_10,Xi,Yi); disp(sprintf(' Finished: %.4f sec\n',etime(clock,t0)));
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disp(sprintf('Proceeding to Plotting...')); t0 = clock; %========================================================================= %========================================================================= %% Plotting %========================================================================= %========================================================================= % Create outlines of plug throat and nozzle shroud theta = [0:pi/100:2*pi]; rplug = 5.586/2; rshroud = 9.63/2; xplug = rplug.*cos(theta); yplug = rplug.*sin(theta); xshroud = rshroud.*cos(theta); yshroud = rshroud.*sin(theta); % Create temperature and pressure maps of the plume figure(1) %title('Temperature Map') xlabel('X (in.)'),ylabel('Y (in.)') hold on pcolor(Xi,Yi,Temp_1i) pcolor(Xi,Yi,Temp_2i) pcolor(Xi,Yi,Temp_3i) pcolor(Xi,Yi,Temp_4i) pcolor(Xi,Yi,Temp_5i) pcolor(Xi,Yi,Temp_6i) pcolor(Xi,Yi,Temp_7i) pcolor(Xi,Yi,Temp_8i) pcolor(Xi,Yi,Temp_9i) pcolor(Xi,Yi,Temp_10i) % pcolor(Horizontal,Y_T_1,Temp_1) % pcolor(Horizontal,Y_T_2,Temp_2) % pcolor(Horizontal,Y_T_3,Temp_3) % pcolor(Horizontal,Y_T_4,Temp_4) % pcolor(Horizontal,Y_T_5,Temp_5) % pcolor(Horizontal,Y_T_6,Temp_6) % pcolor(Horizontal,Y_T_7,Temp_7) % pcolor(Horizontal,Y_T_8,Temp_8) % pcolor(Horizontal,Y_T_9,Temp_9) % pcolor(Horizontal,Y_T_10,Temp_10) plot(xshroud,yshroud,'k-','LineWidth',2) plot(xplug,yplug,'k--','LineWidth',2) shading interp axis([-2 6 -4 4]) caxis([-100 1000]) colorbar
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figure(2) %title('Pressure Map') xlabel('X (in.)'),ylabel('Y (in.)') hold on pcolor(Xi,Yi,Press_1i) pcolor(Xi,Yi,Press_2i) pcolor(Xi,Yi,Press_3i) pcolor(Xi,Yi,Press_4i) pcolor(Xi,Yi,Press_5i) pcolor(Xi,Yi,Press_6i) pcolor(Xi,Yi,Press_7i) pcolor(Xi,Yi,Press_8i) pcolor(Xi,Yi,Press_9i) pcolor(Xi,Yi,Press_10i) % pcolor(Horizontal,Y_P_1,Press_1) % pcolor(Horizontal,Y_P_2,Press_2) % pcolor(Horizontal,Y_P_3,Press_3) % pcolor(Horizontal,Y_P_4,Press_4) % pcolor(Horizontal,Y_P_5,Press_5) % pcolor(Horizontal,Y_P_6,Press_6) % pcolor(Horizontal,Y_P_7,Press_7) % pcolor(Horizontal,Y_P_8,Press_8) % pcolor(Horizontal,Y_P_9,Press_9) % pcolor(Horizontal,Y_P_10,Press_10) plot(xshroud,yshroud,'k-','LineWidth',2) plot(xplug,yplug,'k--','LineWidth',2) shading interp axis([-6 6 -6 6]) caxis([14.7 35]) colorbar disp(sprintf(' Finished: %.4f sec\n',etime(clock,t0)));