| 复合固体推进剂燃烧性能模拟计算的神经网络方法 |
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| 引用本文： | 邓鹏图,田德余,庄逢辰.复合固体推进剂燃烧性能模拟计算的神经网络方法[J].推进技术,1996,17(4):72-76. |
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| 作者姓名： | 邓鹏图 田德余 庄逢辰 |
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| 作者单位： | 国防科技大学材料科学与应用化学系 |
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| 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。
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| 关 键 词： | 神经元机，复合推进剂，推进剂燃速，计算化学 |
A NEURAL NETWORK FOR MODELING CALCULATIONS FOR COMPOSITE PROPELLANTS |
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| Deng Pengtu,Tian Deyu and Zhuang Fengchen.A NEURAL NETWORK FOR MODELING CALCULATIONS FOR COMPOSITE PROPELLANTS[J].Journal of Propulsion Technology,1996,17(4):72-76. |
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| Authors: | Deng Pengtu Tian Deyu and Zhuang Fengchen |
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| Institution: | Dept. of Material Science and Applied Chemistry, National Univ.of Defense Technology, Changsha, 410073;Dept. of Material Science and Applied Chemistry, National Univ.of Defense Technology, Changsha, 410073;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. |
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| Keywords: | Neural machine Composite propellant Propellant burning rate Computational chemistry |
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