| 摘要: |
| 在总结已有燃烧模型的基础上，重点考虑压强、氧化剂的重均粒径、氧化剂的质量浓度三种主要影响因素，提出了一种基于误差反传（ＢＰ）神经网络的复合固体推进剂燃烧性能模拟计算方法，计算结果和实验值吻合较好，这为推进剂配方的计算机辅助设计提供了一种新方法。 |
| 关键词: 神经元机 复合推进剂 推进剂燃速 计算化学 |
| DOI： |
| 分类号:V512.3 |
| 基金项目: |
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| A NEURAL NETWORK FOR MODELING CALCULATIONS FOR COMPOSITE PROPELLANTS |
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Deng Pengtu, Tian Deyu, Zhuang Fengchen
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Dept. of Material Science and Applied Chemistry, National Univ.of Defense Technology, Changsha, 410073
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| Abstract: |
| he traditional modeling of composite propellant combustion, which strives to representthe combustion process in mathematical terms, is restricted by the knowledge of the combustionmechanism. In this paper, a new scheme has been proposed to calculate the combustion of compositepropellants without considering the specific combustion processes by applying the back-propagation(BP) neural network, which has the capability to "learn" system characteristics through nonlinearmapping. The computed results are in good agreement with the experimental data, which shows thatthe scheme offers a new way for CAD of propellant formulation. |
| Key words: Neural machine Composite propellant Propellant burning rate Computational chemistry |
