Approximation of chemical reaction rates in turbulent combustion simulation

It is essential to increase the efficiency of the commercially available combustion engines because of the limitations in fossil energy resources and environmental pollution Also the emission standards are a challenging aspect. If one succeeds in designing the combustion process, in particular the chemical reactions, it would be feasible to partly replace complex experiments by computer simulations. The suggestion made in this paper, is the use of artificial neuronal networks for approximation of complex chemistry in turbulent combustion applications. The use of complex chemistry is computationally expensive and limited to simple geometry, therefore it is replaced by trained ANNs.