Neural network modeling of LRE combustion chambers both thermal and hydrodynamics processes

Abstract

Some problems of thermodynamic, hydraulic and thermal calculations of the thermal state analysis and performance of the liquid-propellant rocket engine design using neural network modeling are detected. There are presented some applications of neural-network algorithms using in thermal calculations of the LRE chamber such as the simulation of hydraulic non-uniformity of fuel distribution among the sprayers of LRE mixing devices.