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03-12-02IASFPWG – Seattle, WA Jet-A Vaporization Computer Model A Fortran Code Written by Prof. Polymeropolous of Rutgers University International Aircraft Systems Fire Protection Working Group Seattle, WA March 12 – 13, 2002 Steve Summer Project Engineer Federal Aviation Administration Fire Safety Section, AAR-422
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03-12-02IASFPWG – Seattle, WA Acknowledgements Professor C. E. Polymeropolous of Rutgers University David Adkins of the Boeing Company
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03-12-02IASFPWG – Seattle, WA Introduction Original code was written as a means of modeling some flammability experiments being conducted at the Tech Center (Summer, 1999) Hot Air In 2 HC Ports 5 Gas Thermocouples 1 Liquid Thermocouple Fuel Pan Air Out 0.93 m 2.2 m 1.2 m 5 Wall and Ceiling Thermocouples
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03-12-02IASFPWG – Seattle, WA Introduction This model proved a good method of predicting the evolution of hydrocarbons (i.e. it matched the experimental data). Results were presented by Prof. Polymeropolous (10/01 Fire Safety Conference) Could prove to be a key tool in performing fleet flammability studies. Fortran code has been converted to a user-friendly Excel spreadsheet by David Adkins of Boeing.
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03-12-02IASFPWG – Seattle, WA Previous Work Numerous previous investigations of free convection heat transfer within enclosures Review papers: Catton (1978), Hoogendoon (1986), Ostrach (1988), etc. Enclosure correlations Few studies of heat and mass transfer within enclosures Single component fuel evaporation in a fuel tank, Kosvic et al. (1971) Computation of single component liquid evaporation within cylindrical enclosures, Bunama, Karim et al. (1997, 1999) Computational and experimental study of Jet A vaporization in a test tank (Summer and Polymeropoulos, 2000)
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03-12-02IASFPWG – Seattle, WA Physical Considerations 3D natural convection heat and mass transfer within tank Fuel vaporization from the tank floor which is completely covered with liquid Vapor condensation/vaporization from the tank walls and ceiling Multi-component vaporization and condensation Initial conditions are for an equilibrium mixture at a given initial temperature Gas, T g Liquid, T l Walls and Ceiling, T s
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03-12-02IASFPWG – Seattle, WA Major Assumptions Well mixed gas and liquid phases within the tank Uniform temperature and species concentrations in the gas and within the evaporating and condensing liquid Ra g ≈ 10 9, Ra l ≈ 10 5 -10 6 Externally supplied uniform liquid and wall temperatures. Gas temperature was then computed from an energy balance Condensate layer was thin and its temperature equaled the wall temperature.
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03-12-02IASFPWG – Seattle, WA Major Assumptions (cont’d) Mass transport at the liquid – gas interfaces was estimated using heat transfer correlations and the analogy between heat and mass transfer for estimating film mass transfer coefficients Low evaporating species concentrations Liquid Jet A composition was based on previous published data and and adjusted to reflect equilibrium vapor data (Polymeropoulos, 2000)
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03-12-02IASFPWG – Seattle, WA Assumed Jet A Composition Based on data by Clewell, 1983, and adjusted to reflect for the presence of lower than C8 components
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03-12-02IASFPWG – Seattle, WA Assumed Jet A Composition 0 5 10 15 20 25 5678910111213141516 Number of Carbon Atoms MW: 164 % by Volume
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03-12-02IASFPWG – Seattle, WA PRINCIPAL MASS CONSERVATION AND PHYSICAL PROPERTY RELATIONS
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03-12-02IASFPWG – Seattle, WA Heat/Mass Transfer Coefficients
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03-12-02IASFPWG – Seattle, WA User Inputs Equilibrium Temperature Final Wall and Liquid Temperatures Time Constants Mass Loading Tank Dimensions
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03-12-02IASFPWG – Seattle, WA Program Outputs Equilibrium gas & liquid concentrations/species fractionation Species fractionation as a function of time Ullage, wall and liquid temperatures as a function of time Ullage gas concentrations as a function of time FAR, ppm, ppm C 3 H 8
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03-12-02IASFPWG – Seattle, WA Fortran Program Demonstration
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03-12-02IASFPWG – Seattle, WA Excel Version Demonstration
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03-12-02IASFPWG – Seattle, WA Sample Results
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03-12-02IASFPWG – Seattle, WA Future Work Provide the ability to vary liquid fuel distribution throughout the tank. Provide the ability to input temperature profiles for each tank surface. Provide the ability to track pressure changes Experimental validation tests will be conducted in the near future at the tech center.
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