Abstract
In this study a multi-objective genetic algorithm approach is developed for determining new reaction rate parameters for the combustion of kerosene/air mixtures. The multi-objective structure of the genetic algorithm employed allows for the incorporation of both perfectly stirred reactor and laminar premixed flame data into the inversion process, thus producing more efficient reaction mechanisms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dagaut, P., Reuillon, M., Boetner, J.C. and Cathonnet, M.: Kerosene combustion at pressures up to 40atm: experimental study and detailed chemical kinetic modelling, Proceedings of the Combustion Institute, 25, (1994), 919–926.
Kyne, A.G., Patterson, P.M., Pourkashanian, M., Williams, A. and Wilson, C.J. Prediction of Premixed Laminar Flame Structure and Burning Velocity of Aviation Fuel-Air Mixtures, Proceedings of Turbo Expo 2001: ASME TURBO EXPO2001: LAND, SEA AND AIR, June 4–7, New Orleans, USA, (2001).
Milstein, J., The inverse problem: estimation of kinetic parameters, in: K.H. Ezbert, P. Deuflhard and W. Jager (Eds), Modelling of Chemical Reaction Systems, Springer, Berlin (1981).
Bock, H.G., Numerical treatment of inverse problems in chemical reaction kinetics, in Ezbert, K.H., Deuflhard, P. and Jager, W. (Eds), Modelling of Chemical Reaction Systems, Springer, Berlin, (1981).
Harris, S.D., Elliott, L., Ingham, D.B. Pourkashanian, M. Wilson, C.W. The Optimisation of Reaction Rate Parameters for Chemical Kinetic Modelling of Combustion using Genetic Algorithms, Computer methods in applied mechanics and engineering, 190, (2000), 1065–1083.
Glarborg, P., Kee, R.J., Grcar, J.F., Miller, J.A.: PSR: A FORTRAN program for modelling well-stirred reactors, Sandia National Laboratories Report SAND86-8209, (1988).
Kee, R.J., Grcar, J.F., Smooke, M.D., Miller, J.A.: A FORTRAN program for modelling steady laminar one-dimensional premixed flames, Sandia National Laboratories Report SAND85-8240, (1985).
Lutz, A.E., Kee, R.J. and Miller, J.A., SENKIN: A FORTRAN program for predicting homogeneous gas phase chemical kinetics with sensitivity analysis, Sandia National Laboratories Report SAND87-8248, (1987).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Elliott, L., Ingham, D.B., Kyne, A.G., Mera, N.S., Pourkashanian, M., Wilson, C.W. (2003). Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45110-2_102
Download citation
DOI: https://doi.org/10.1007/3-540-45110-2_102
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40603-7
Online ISBN: 978-3-540-45110-5
eBook Packages: Springer Book Archive