This study presents a novel multiobjective genetic-algorithm approach to produce a new reduced chemical kinetic reaction mechanism to simulate aviation fuel combustion under various operating conditions. The mechanism is used to predict the flame structure of an aviation fuel/ flame in both spatially homogeneous and one-dimensional premixed combustion. Complex hydrocarbon fuels, such as aviation fuel, involve large numbers of reaction steps with many species. As all the reaction rate data are not well known, there is a high degree of uncertainty in the results obtained using these large detailed reaction mechanisms. In this study a genetic algorithm approach is employed for determining new reaction rate parameters for a reduced reaction mechanism for the combustion of aviation fuel-air mixtures. The genetic algorithm employed incorporates both perfectly stirred reactor and laminar premixed flame data in the inversion process, thus producing an efficient reaction mechanism. This study provides an optimized reduced aviation fuel-air reaction scheme whose performance in predicting experimental major species profiles and ignition delay times is not only an improvement on the starting reduced mechanism but also on the full mechanism.
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April 2006
Technical Papers
A Novel Approach to Mechanism Reduction Optimization for an Aviation Fuel/Air Reaction Mechanism Using a Genetic Algorithm
L. Elliott,
L. Elliott
Department of Applied Mathematics,
University of Leeds
, Leeds LS2 9JT, UK
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D. B. Ingham,
D. B. Ingham
Department of Applied Mathematics,
University of Leeds
, Leeds LS2 9JT, UK
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A. G. Kyne,
A. G. Kyne
Energy and Resources Research Institute,
e-mail: fueagk@sun.leeds.ac.uk
University of Leeds
, Leeds LS2 9JT, UK
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N. S. Mera,
N. S. Mera
Energy and Resources Research Institute,
University of Leeds
, Leeds LS2 9JT, UK
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M. Pourkashanian,
M. Pourkashanian
Energy and Resources Research Institute,
University of Leeds
, Leeds LS2 9JT, UK
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C. W. Wilson
C. W. Wilson
Department of Mechanical Engineering,
University of Sheffield
, Mappin Street, Sheffield S1 3JD, UK
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L. Elliott
Department of Applied Mathematics,
University of Leeds
, Leeds LS2 9JT, UK
D. B. Ingham
Department of Applied Mathematics,
University of Leeds
, Leeds LS2 9JT, UK
A. G. Kyne
Energy and Resources Research Institute,
University of Leeds
, Leeds LS2 9JT, UKe-mail: fueagk@sun.leeds.ac.uk
N. S. Mera
Energy and Resources Research Institute,
University of Leeds
, Leeds LS2 9JT, UK
M. Pourkashanian
Energy and Resources Research Institute,
University of Leeds
, Leeds LS2 9JT, UK
C. W. Wilson
Department of Mechanical Engineering,
University of Sheffield
, Mappin Street, Sheffield S1 3JD, UKJ. Eng. Gas Turbines Power. Apr 2006, 128(2): 255-263 (9 pages)
Published Online: March 1, 2004
Article history
Received:
October 1, 2003
Revised:
March 1, 2004
Citation
Elliott, L., Ingham, D. B., Kyne, A. G., Mera, N. S., Pourkashanian, M., and Wilson, C. W. (March 1, 2004). "A Novel Approach to Mechanism Reduction Optimization for an Aviation Fuel/Air Reaction Mechanism Using a Genetic Algorithm." ASME. J. Eng. Gas Turbines Power. April 2006; 128(2): 255–263. https://doi.org/10.1115/1.2131887
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