AIAA-2009-4835
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Transcript of AIAA-2009-4835
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American Institute of Aeronautics and Astronautics2
= isentropic efficiency
t = expansion ratio of the vaneless counter-rotating turbine
I. Introduction
Vaneless Counter-Rotating Turbine (VCRT) is composed of a highly loaded single stage high pressure
turbine (HPT) and a single stage vaneless counter-rotating low pressure turbine/rotor (LPT/LPR). Comparing
with the conventional two stage turbine, the VCRT can offer significant benefits due to the parts elimination and
size reduction. These benefits include elevating thrust-to-weight ratio, reducing cooling flow and cost, and so on.
From the 1950s, counter-rotating turbines have been carefully investigated. Wintucky et al. (1958, [1]) analyzed
the effects of loading coefficient, turbine exit whirl and rotational speed ratio on the efficiency of the counter-
rotating turbine. Louis (1985, [2]) carried out an investigation on two counter-rotating turbines with different
configurations. The results indicate that the efficiencies of these two counter-rotating turbines are higher than
conventional turbines with the same stage loading coefficient. In other words, the counter-rotating turbines have
higher stage loading coefficients compared with conventional turbines with the same efficiency. The work
performed by Sotsenko and Ponomariov (1990, [3, 4], 1992, [5]) illustrates the potential of counter-rotating
turbine. Compared with conventional turbine, the investigation results indicate that the counter-rotating
configuration can obtain 5% increased pressure ratio of the compressor, 23% shorten engine length, 35-40%
decreased airfoil number of the gas turbine and 45-50% decreased airfoil number of the power turbine at the same
fuel consumption. Weaver et al. (2000, [6]) focused on understanding the physical parameters influencing the
unsteady forces causing the blade excitation in a transonic vaneless counter-rotating turbine. In this investigation,
the blade surface unsteady pressures were measured and analyzed. Using these measured data, the proper CFD
modeling requirements to engineering design assessments were determined. Haldeman et al. (2000, [7])
investigated the pressure loading on a vaneless counter-rotating turbine by means of a short-duration shock tunnel
facility and CFD tool. The results indicate that the CFD code can qualitatively capture the flowfield physics.
However, some additional calibration on the code needs to be performed in order to fully match experimental data
quantitatively. Keith et al. (2000, [8]) introduced the tests on the Controlled Pressure Ratio Engine (COPE) turbinesystem. The turbine system consists of a single stage high pressure turbine and a two stage vaneless counter-
rotating low pressure turbine. The experimental results show that the performance levels of the HPT meets the pre-
test expectations, and the LPT also meets performance objectives across the tested range. Zhao et al. (2007, [9],
2008, [10], 2009, [11, 12]) performed numerical and experimental investigations on unsteady flow characteristics
and inlet hot streak effects in a vaneless counter-rotating turbine. In these investigations, the unsteady pressure
fluctuations on the surface of airfoils and tip region of the HPT rotor were captured. And the effects of
temperature ratio and tip leakage flow on hot streak migration also were obtained. These results will be used into
the unsteady design of vaneless counter-rotating turbine in the future.
In this paper, the flow characteristics of a vaneless counter-rotating turbine at off-design conditions will be
explored by means of a blow-down short duration turbine test facility and a three-dimensional multiblade row
steady Navier-Stokes code.
II. Experimental Facility
The IET (Institute of Engineering Thermophysics, Chinese Academy of Sciences) blow-down turbine facility is
a transient wind tunnel, which can be used to simulate flow conditions for most modern high pressure axial
turbines. The blow-down short duration turbine facility is able to substitute a continuous turbine facility in a
majority of turbine testing on flow and heat transfer measurements. The valuable test time in the IET facility is
about 300-500 milliseconds. This test time is sufficiently long compared to the flow and heat transfer
characteristic time in a high speed turbine stage. So, the turbine operates in a quasi-steady state during test process.
The blow-down short duration turbine facility has some advantages compared to the continuous long duration
facility. One advantage of the short duration facility is the lower cost of construction, operation and maintenance.
A
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American Institute of Aeronautics and Astronautics3
The other is more convenient measurement of heat transfer characteristic. The metal temperature is the same as
room temperature because the test time is short compared to the thermal transient of the turbine blade. An almost
constant gas-to-metal temperature ratio is maintained during the test time. The relatively favorable environment is
suitable for the application of the heat flux gauges. Then, the heat transfer data are readily acquired in the short
duration test.
The schematic of the blow-down short duration turbine facility is given in Figure 1. Major components shown
from upstream to downstream are the supply tank (12 m3), fast response valve, test section, tail cone and vacuum
tank (20 m3). Cross-sectional view of the VCRT internal flow path is shown in Figure 2.
Supply Tank
Fast Response Valve Test Section Tail Cone
Vacuum Tank
Figure 1. Schematic of the IET blow-down short duration turbine facility.
HPT Stator HPT Rotor LPT Rotor
Figure 2. Cross-sectional view of the VCRT internal flow path.
III. Numerical Algorithm
NUMECA software systems are employed to study this problem. The numerical method is described in details
in the user manual (2005, [13]). Here only a brief description about the main features is reported.
The governing equations in NUMECA are the time dependent, three-dimensional Reynolds-averaged Navier-Stokes equations. The solver of NUMECA is FINE/Turbo and it is based on a cell centered finite volume
approach, associated with a central space discretization scheme together with an explicit four-stage Runge-Kutta
time integration method.
Residual smoothing, local time-stepping, and multi-gridding are employed to speed up convergence to the
steady state solution.
Various turbulence models have been included in the solver for the closure of governing equations. The widely
used approach based on one transport equation (Spalart and Allmaras, 1992, [14]) has been selected in this paper.
The Spalart-Allmaras model has become quite popular in the last years because of its robustness and its ability to
treat complex flows. The main advantage of Spalart-Allmaras model when compared to the one of Baldwin-
Lomax is that the turbulent eddy viscosity field is always continuous. Its advantage over the k- model is mainly
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American Institute of Aeronautics and Astronautics4
its robustness and the lower additional CPU and Memory usage.
The time step limitations arising from the turbulent source terms are accounted for in the model so that
computations can be performed with the maximum allowable CFL number without penalizing numerical
efficiency.
IV. Boundary Conditions
The theory of characteristics is used to determine the boundary conditions at the inlet and exit of computational
domain. At the inlet, total pressure, total temperature and circumferential and radial flow angles are specified as
many constants in the simulation. Due to selecting the Spalart-Allmaras turbulence model, the kinematic turbulent
viscosity should be specified in the inlet boundary conditions. In this paper, it is 0.0001m2/s.
At the exit, the circumferential and radial velocity components, entropy and the downstream running Riemann
invariant are extrapolated from the interior of the computational domain. The static pressure, P6, is specified at the
hub of the exit and the static pressure values at all other radial locations are obtained by integrating the equation
for radial equilibrium. Periodicity is enforced along the outer boundaries of H-O-H grids in the circumferential
direction.
No-slip boundary conditions should be enforced at solid wall surfaces for viscous simulations. In this paper,
absolute no-slip boundary conditions are enforced at the hub and tip end walls of the HPT stator regions, along the
surface of the HPT vane, and along the casing walls of the HPT rotor and LPR regions. Relative no-slip boundary
conditions are imposed at the hub end walls of the HPT rotor and LPR regions, and the surfaces of the HPT rotor
and LPR blades. It is assumed that the normal derivative of pressure is zero at the solid wall surfaces, and that the
walls are adiabatic.
V. Vaneless Counter-Rotating Turbine
The VCRT studied in this paper is composed of a highly loaded single stage HPT coupled with a vaneless
counter-rotating LPT/LPR. It has high expansion ratio and operates in transonic regimes. The design conditions of
the VCRT are shown in Table 1.
Table 1. The flow conditions in the VCRT
Inlet total temperature (K) 500
Inlet total pressure (kPa) 300
Mass flow (kg/s) 17.7
Rotational speed of HPT rotor (RPM) 7162
Rotational speed of LPR (RPM) -6778
Expansion ratio of HPT 2.93
Expansion ratio of LPT 2.07
SWR 1.77
For these calculations, no tip clearance of the rotor is modeled. And the typical y+ values of less than 15 are
used at the boundaries. The three-dimensional H-O-H grid topologies are showed in Figures 3 to 5.
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American Institute of Aeronautics and Astronautics6
2 3 4 5 6 7100
200
300
400
500
600
nrs=0.41 (Experimental Results)
nrs
=0.41 (Numerical Results)
nrs=0.60 (Experimental Results)
nrs=0.60 (Numerical Results)
nrs=0.80 (Experimental Results)
nrs=0.80 (Numerical Results)
nrs=0.97 (Experimental Results)
nrs=0.97 (Numerical Results)
N / k W
t
Figure 6. Power characteristic curves of HPT.
Figure 7 shows the experimental and numerical power characteristic curves on the LPT. The numerical code
qualitatively predicts the power performance of the LPT. The power performance of the LPT meets the design
requirement at full operating range. The results in Fig. 7 indicate that the increase of the rotor rotation speed tends
to decrease the power of the LPT. The comparison between HPT data and LPT data illustrates that there is a more
optimized rotation speed ratio for the VCRT. In this paper, the optimum rotation speed ratio of the VCRT is
closed to 1.8. The results also indicate that the power performance of the LPT still has a potential to be improved.
2 3 4 5 6 70
100
200
300
400n
rs=0.38 (Experimental Results)
nrs=0.38 (Numerical Results)
N / k W
t
2 3 4 5 6 70
100
200
300
400 nrs=0.57 (Experimental Results)
nrs=0.57 (Numerical Results)
N / k W
t
0.38rsn 0.57rsn
2 3 4 5 6 70
100
200
300
400n
rs=0.73 (Experimental Results)
nrs=0.73 (Numerical Results)
N / k W
t
2 3 4 5 6 70
100
200
300
400n
rs=0.94 (Experimental Results)
nrs=0.94 (Numerical Results)
N
/ k W
t
0.73rsn 0.94rsn
Figure 7. Power characteristic curves of LPT.
Figure 8 shows the experimental and numerical power characteristic curves on the VCRT. The power
performance meets the design objective. The numerical tool has qualitative prediction ability. The results indicate
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that the increase of the rotor rotation speed tends to increase the power of the VCRT. And the effect of the rotor
rotation speed on the power of VCRT becomes weaker at higher rotation speed region.
2 3 4 5 6 7200
400
600
800
1000n
rs=0.40 (Experimental Results)
nrs=0.40 (Numerical Results)
nrs=0.59 (Experimental Results)
nrs=0.59 (Numerical Results)
nrs=0.77 (Experimental Results)
nrs=0.77 (Numerical Results)
nrs=0.97 (Experimental Results)
nrs=0.97 (Numerical Results)
N / k W
t
Figure 8. Power characteristic curves of VCRT.
The SWR characteristic curves of the VCRT are shown in Fig. 9. The numerical data are very agreement with
the experimental data. The prediction accuracy of this code is verified. It is competent for this investigation. The
results in Fig. 9 show that the increase of the rotor rotation speed tends to increase the SWR of the VCRT. And
when the rotor rotation speed is increased, the operation range of the VCRT is reduced.
2 3 4 5 6 70
1
2
3
4
5n
rs=0.40 (Experimental Results)
nrs=0.40 (Numerical Results)
nrs=0.59 (Experimental Results)
nrs=0.59 (Numerical Results)
nrs=0.77 (Experimental Results)
nrs=0.77 (Numerical Results)
nrs=0.97 (Experimental Results)
nrs=0.97 (Numerical Results)
R W
t
Figure 9. SWR characteristic curves.
Figure 10 shows the experimental and numerical isentropic efficiency characteristic curves on the VCRT. Theresults show that the efficiency of the VCRT is increased with the increase of the rotor rotation speed. The
predicted results are well agreement with experimental data. It illustrates the numerical code can qualitatively
predict the efficiency of the VCRT.
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2 3 4 5 6 750
60
70
80
90
100
nrs=0.40 (Experimental Results)
nrs=0.40 (Numerical Results)
t
2 3 4 5 6 750
60
70
80
90
100n
rs=0.59 (Experimental Results)
nrs=0.59 (Numerical Results)
t
0.40rsn 0.59rsn
2 3 4 5 6 750
60
70
80
90
100n
rs=0.77 (Experimental Results)
nrs=0.77 (Numerical Results)
t
2 3 4 5 6 750
60
70
80
90
100n
rs=0.97 (Experimental Results)
nrs=0.97 (Numerical Results)
t
0.77rs
n 0.97rsn
Figure 10. Isentropic efficiency characteristic curves of VCRT.
VII. Conclusions
In this paper, the flow characteristics of a vaneless counter-rotating turbine at off-design conditions areinvestigated by means of a blow-down short duration turbine test facility and a three-dimensional Navier-Stokes
code. About 100 operating modes are simulated in this investigation. Depending on the experimental and
numerical data, the performance curves of the vaneless counter-rotating turbine are obtained. The qualitative
prediction ability of the numerical code is also verified. The following main conclusions have been drawn:
1) The increase of the rotor rotation speed tends to increase the ratio of specific work of the high pressure
turbine to that of the low pressure turbine and the efficiency of the vaneless counter-rotating turbine.
2) When the rotation speed of the rotor increases, the specific work of the low pressure turbine is decreased, and
the effective operation range of the vaneless counter-rotating turbine is reduced.
Acknowledgments
This work is supported by the Award Fund of the President of CAS. The support of the Wu Chung Hua AwardFoundation is gratefully acknowledged.
References1Wintucky, W.T., and Stewart, W.L., “Analysis of Two-Stage Counter-Rotating Turbine Efficiencies in terms of Work and
Speed Requirements,” NACA RM E57L05, 1958.2 Louis, J.F., “Axial Flow Contra-Rotating Turbines,” ASME Paper 85-GT-218, 1985.3 Sotsenko, Y.V., “Thermogasdynamic Effects of the Engine Turbines with the Countra-Rotating Rotors,” ASME Paper
90-GT-63, 1990.4 Ponomariov, B.A., “New Generation of the Small Turboshaft and Turboprop Engines in the USSR,” ASME Paper 90-
GT-195, 1990.
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