NEURAL NETWORKS IN COMBUSTION SIMULATIONS

摘要

The design process of commercially available combustion engines is often based on real experiments which is expensive concerning to fuel consumption, men power and environmental pollution. It is possible to replace complex experiments by computer simulations. The prediction of the velocity field, the mixing process of fuel and oxidiser and the temperature field is a wide range of research subjects. In case of turbulent flow simulations with combustion the chemical reactions and the coupling have to be calculated at the same time. With regard to computer time the used chemical reaction mechanism has a big influence on the performance of the whole simulation. Therefore optimisation procedures often improve the representation of the chemistry. The suggestion made in this paper, is the use of artificial neuronal networks for approximation of complex chemistry in turbulent combustion simulations.