Modeling Wing Tank Flammability Dhaval D. Dadia Dr. Tobias Rossmann Rutgers, The State University of...
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Transcript of Modeling Wing Tank Flammability Dhaval D. Dadia Dr. Tobias Rossmann Rutgers, The State University of...
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Modeling Wing Tank Flammability
Dhaval D. Dadia
Dr. Tobias RossmannRutgers, The State University of New JerseyPiscataway, New Jersey
Steven SummerFederal Aviation Administration
Atlantic City Airport, New Jersey
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Motivation
Numerous accounts of wing tank explosions across the world
Current flammability models are for center wing tanks
The proposed regulation for wing tank safety are mostly based on center wing tank models
Models will predict ullage concentrations existing during typical ground and flight operations
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Current Work
Flammable mixtures can be achieved in the wing tank
Experiments are being conducted to build flammability models for wing tanks
Current work involves Predicting the influence of the surrounding temperatures on the
characteristic fuel surface temperature Creating a model that will predict flammability in wing tanks
using heat transfer correlations
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Overview
Single Thermocouple Method (STM)
Difference between Center Wing Tank and Wing Tank
Center Wing Tank Flammability Model
Heat and Mass Transfer Correlations
Experimental Results
Computational Results
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Distillation Curve Jet fuel is a mixture of many different
hydrocarbons
Fuel composition is characterized by the number of alkane reference hydrocarbons
The approach reduces the number of components from over 300 down to 16 species (C5-C20 alkanes)
Liquid compositions of different JP-8 samples with varying flashpoints are presented in terms of the mole fractions of C5-C20 alkanes
ASTM D2887 Distillation Curve
100
150
200
250
300
350
400
450
500
550
600
0.0 0.2 0.4 0.6 0.8 1.0
Fraction Distilled
Tem
per
atu
re D
eg F
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Single Thermocouple Method
Uses Fuel Air Ratio (FAR) calculator by Ivor Thomas
Calculates fuel air ratio over a range of altitudes and temperatures
All compounds with same carbon number were assigned together
Fuel is segregated based on boiling points of alkane species respective of their carbon number
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Single Thermocouple Method
At constant temperature the THC increases as the pressure decreases
Polynomial correlation between Scaled THC and temperature
Film temperature is calculated at a given pressure and THC
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Center Wing Tank (CWT)
The CWT has thin layer of fuel at the bottom of the tank
30% Mass Loading
The tank is heated from the bottom due to heat released from underneath the tank
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Wing Tank (WT)
The WT is mostly filled with fuel
80 % Mass Loading
The tank is heated from the top from an ambient heat source such as the Sun
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Sorting Data
The data is sorted because of the difference in the driving force
The data is sorted into Ascending Profile
The top surface is hotter than the fuel surface
The ullage temperature governs the film temperature
Descending Profile The fuel is hotter than the top
surface The fuel temperature governs the
film temperature
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Correlations
Ascending profile
Correlations between ullage temperature and fuel temperature
Ullage temperature is greater than liquid fuel temperature
Correlation coefficient 0.89
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Correlations
Ascending profile
Correlating ullage temperature with film temperature
Liquid fuel temperature is greater than ullage temperature
Correlation coefficient 0.976
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Correlations
Descending profile
Correlations between ullage temperature and fuel temperature
Ullage temperature is greater than liquid fuel temperature
Correlation coefficient 0.41
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Correlations
Descending profile
Correlations between ullage temperature and fuel temperature
Liquid fuel temperature is greater than ullage temperature
Correlation coefficient 0.93
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Summary of STM
Correlation works best when: Liquid fuel temperature is larger than the
ullage temperature Fuel temperature is the driving force
During Ascending pressure profile Vapor pressure remains constant
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Base Model
Current CWT Model (Polymeropoulos 2004)*
Natural convection flow field between the heated floor and the unheated ceiling and sidewalls
Ullage gases are well mixed due to natural convection and mass transfer
Liquid vaporization Vapor Condensation
Natural convection flow is in the turbulent regime
* JET A VAPORIZATION IN A SIMULATED AIRCRAFT FUEL TANK, Polymeropoulos and Ochs 2004
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Principal Assumptions
Well mixed gas and liquid phases Buoyancy induced mixing
Quasi-steady transport using heat transfer correlations
The analogy between heat and mass transfer for estimating film coefficients for heat and mass transfer
The liquid fuel and wall temperatures are known from experiments
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Computational Method
Inputs The tank geometry Fuel loading Liquid fuel composition Tank pressure Liquid fuel, and tank wall temperatures as functions of time
Computes Equilibrium species concentrations of Jet A in a uniform
temperature, constant pressure tank Temporal variation of vapor temperature and species
concentration
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CWT Model
Simulation using center wing tank flight test data
The calculated THC is in good agreement with the measured THC
0
0.5
1
1.5
2
2.5
3
0 2000 4000 6000 8000 10000 12000
Time, Seconds
% P
ropa
ne E
quiv
alen
t
Measured THCCalculated THC, 115 FPCalculated THC, 120 FP
FID Error
*Vaporization of JP-8 Jet Fuel in a Simulated Aircraft Fuel Tank under varying ambient conditions –
Ochs 2006
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CWT Correlations
Heat & Mass Transfer Correlations Horizontal surface:
Top surface: Lower surface of cooled plate
Top of Fuel Layer: Upper Surface of heated plate
Vertical Surface: Laminar Forced Convection on a flat
plate
Horizontal Surface
Vertical Surfaces
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Difference in Model Correlations
The CWT model differs from the WT model in the ascending and cruise conditions due to: Percent load Ullage height Heat and mass transfer correlations Heat source Surface being heated
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Experiments
Experiments were conducted
For 60% and 80% mass loadings
For equilibrium temperatures from 80°F to 100°F
For cruising altitudes of 25000 feet and 34000 feet
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Experimental Equipment
Experiments conducted in an altitude chamber
Designed to simulate temperature and pressure similar to a flight profile Can simulate altitudes from sea
level to 100,000 feet Can simulate temperatures from
-100˚F to +250˚F
NDIR gas analyzer used to measure the total hydrocarbon concentration
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Experimental Setup
An aluminum fuel tank of dimensions 24”w x 24” d x 36” h was used
Access panels on top for thermocouple penetration, ullage sampling, vent, and the fill tube
Thermocouples measured surface, ullage, fuel surface and bulk fuel temperatures
The vent was equipped with a mass flow meter
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Flight Profile
The following flight profile will be used in the altitude chamber
Cruise at 35000 feet
Total flight time is 2.5 hours
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Combination of Models
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Simulation using flight test data
Using wing tank dimensions on a CWT flammability model
Shows that the CWT model works for wing tanks in descending pressure profiles
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Wing Tank Correlations
Heat & Mass Transfer correlations Horizontal surface: (Ascending)
Top surface: Laminar Forced Convection on a flat plate
Top of Fuel Layer: Laminar Forced Convection on a flat plate
Horizontal Surface (Cruise and Descending)
Top surface: Turbulent Forced Convection on a flat plate
Top of Fuel Layer: Laminar Forced Convection on a flat plate
Vertical Surface: Laminar Forced Convection on a flat
plate
Horizontal Surface
Vertical Surface
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Test Results
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Ascending Top Surface Heat Transfer Correlations
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Test Results
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Cruise and Descending Top Surface Heat Transfer Correlations
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Summary of Experimental Results
Laminar Forced Convection during ascent
Turbulent Forced Convection the rest of the flight
Shows ullage gases are well mixed in the ullage
High Reynolds number in the heat transfer cells in the ullage
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Conclusion
Single Thermocouple method can calculate THC using data from a single thermocouple in the tank
The differences between the WT model and the CWT model: Percent Load Ullage Height Heat and mass transfer correlations Heat Source Surface being heated
The CWT model cannot be applied in the ascending and cruise profiles, but can be applied in the descending profiles
Experiments will be conducted To confirm the state of the ullage To compare computed data to experimental data
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Questions?
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