This paper outlines updates made to a method for chemical kinetic model reduction for use in computational fluid dynamics simulations. Specifically, this method uses a time-integrated flux-based algorithm to find a small skeletal model based on a detailed kinetic model, before optimization of the rate constants, using steepest descent and solution mapping methods. The new method is then applied to the reduction of a methane–air model and a dodecane–air model for two different sets of initial conditions. The results show that the optimized models are able to predict the performance of their respective detailed models over the ranges of conditions for which the optimizations are based. Results for the optimized models are also able to predict the perfectly stirred reactor response better than the optimized models generated using the older method.
Creation of Small Skeletal Models in Kinetic Model Reductions
Journal of Propulsion and Power ; 34 , 5 ; 1262-1268
01.09.2018
Aufsatz (Konferenz) , Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Creation of Small Skeletal Models in Kinetic Model Reduction for CFD Applications (AIAA 2017-5082)
British Library Conference Proceedings | 2017
|A Skeletal Chemical Kinetic Model for the HCCI Combustion Process
SAE Technical Papers | 2002
|A skeletal chemical kinetic model for the HCCI combustion process
Kraftfahrwesen | 2002
|Development of Biodiesel Skeletal Mechanisms for Kinetic Combustion Modeling
SAE Technical Papers | 2013
|