The use of ignition delay time in genetic algorithms optimisation of chemical kinetics reaction mechanisms

Authors:
L. Elliott;D. B. Ingham;A. G. Kyne;N. S. Mera;M. Pourkashanian;C. W. Wilson
Affiliations:
Department of Applied Mathematics, University of Leeds, Leeds, LS2 9JT, UK;Department of Applied Mathematics, University of Leeds, Leeds, LS2 9JT, UK;Energy and Resources Research Institute, University of Leeds, Leeds, LS2 9JT, UK;Energy and Resources Research Institute, University of Leeds, Leeds, LS2 9JT, UK;Energy and Resources Research Institute, University of Leeds, Leeds, LS2 9JT, UK;Department of Mechanical Engineering, Mappin Street, University of Sheffield, Sheffield, S1 3JD, UK
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

Citing 2
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Abstract

This study presents the use of a genetic algorithm to optimise new chemical kinetic reaction mechanisms using ignition delay time measurements. It is well recognised that many important combustion phenomena are kinetically controlled. Therefore it is important to determine accurately the reaction rate parameters associated with a given reaction mechanism. The genetic algorithm employed, uses perfectly stirred reactor, laminar premixed flame and ignition delay time data in the inversion process in order to produce efficient reaction mechanisms valid for a wide range of combustion processes and various operating conditions.