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

A. Kretinin, Y. Bulygin, S. L. Podval'nyi
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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.
LRE燃烧室热力和流体动力学过程的神经网络建模
指出了利用神经网络模型进行液体推进剂火箭发动机热状态分析和性能设计的热力学、水力和热计算中存在的一些问题。本文介绍了神经网络算法在LRE燃烧室热计算中的一些应用,如LRE混合装置喷雾器间燃油分配的水力不均匀性模拟。
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