Simulation of Hydrogen Combustion at Different Pressures using a Neural Network
M. Yu. Mal'gasov1, E. V. Mikhal'chenko1, Ya. M. Karandashev1,2, V. F. Nikitin1
1Scientific Research Institute of System Analysis, Moscow, 117218 Russia
2Peoples' Friendship University of Russia, Moscow, 117198 Russia
Keywords: numerical simulation of chemical processes, combustion, detonation, neural networks, deep learning
Abstract
The possibility of solving problems of chemical kinetics using artificial neural networks is investigated. The main laboriousness of solving problems of chemical kinetics lies in solving a rigid system of balance equations, whose right side contains the component mass production intensity. This problem can be singled out as a separate stage of solving a system of ordinary differential equations within a common time step of the global problem, and this stage is considered in this paper. A fairly simple model is developed that can solve this problem, which makes it possible to achieve a threefold acceleration of calculations as compared to numerical methods. The resulting neural network operates recursively and can predict the behavior of a chemical multicomponent dynamic system many steps ahead.
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