|Table of Contents|

Whole Research on Expert System of Solid Propellants

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2009年02期
Page:
247-251
Research Field:
Publishing date:

Info

Title:
Whole Research on Expert System of Solid Propellants
Author(s):
FENG FengCHEN JunZHENG Ya
School of Mechanical Engineering,NUST,Nanjing 210094,China
Keywords:
solid propellants performance prediction formula designs expert systems models
PACS:
V512
DOI:
-
Abstract:
Because the development method of the solid propellants is as tests primarily and the intellectualized degree of analysis software is not higher,an expert system of solid propellants based on formula component database’s information is proposed.The minimum free energy mathematical model,free radical cracking combustible model and middle-phase mechanical model are used in the expert system of solid propellants.Preliminary design parameters of the formula are given by theoretical predictions.The formulation optimization of solid propellant is realized by BP neural network which extractes some non-linear information of synergies law among formula composition,structure and performance.The whole expert system design of solid propellant is given in the paper,and function of the modules is elaborated.The expert system has a good practicability and credibility by simple application example.

References:

[ 1] 冯定. 神经网络专家系统[M ]. 北京: 科学出版社, 2006.
[ 2] 陈作炳. 面向对象的专家系统骨架的构造与实现 [ J]. 武汉: 武汉工业大学学报, 1994, 22( 2): 44- 49.
[ 3] 陈军. 固体燃料冲压发动机内流物性参数自动计算[ J] . 推进技术, 1999, 20( 6): 32- 35.
[ 4] Shaw F J, Fife rR A. A pre lim inary repo rt on deve lop ing an expert system fo r com puter a ided form u lation of prope llants[ R]. AD-A198088, 1989. 1- 26.
[ 5] Sakov ich G V. Design princ ip le o f advanced solid propellant[ J]. Propul Pow erÒ , 1995( 4): 830- 837.
[ 6] Kerze rs H L J. M odeling o f com pos ite prope llant prope rties[ R]. A IAA2000-3323, 1- 9.
[ 7] Sanford G, M cbride B J. Computer program for ca lculation of com plex chem ical equ ilibr ium compositions, rocket perform ance, inc ident and re flected shocks and chapman jorquet detonations[ R]. NASA-SP-273, 1973.
[ 8] M artin SM, W illiam R A. De tailed com bustion mode-l ing as an a id to prope llant formu lation: tw o new trateg ies[ R]. ADA374-598, 2000.
[ 9] 宋洪昌. 火药燃烧模型和燃速预估方法的研究 [ D]. 南京: 华东工学院化工学院, 1986.
[ 10] 徐司雨, 赵凤起, 宋洪昌, 等. 硝胺推进剂和双基系推进剂燃速预估模型进展[ J]. 化学推进剂与高分子材料, 2006, 4( 2) : 32- 36.
[ 11] 辜宝华, 裴宝林, 王光天. 人工神经网络在HTPB 推进剂力学性能预示中的应用[ J]. 固体火箭技术, 1997, 20( 1): 51- 56.
[ 12] 庞爱民. 复合推进剂过渡相( 中间相) 力学模型 [ J]. 推进技术, 1998, 5( 19): 97- 102.
[ 13] 庞爱民. 用动态分析法表征复合固体推进剂偶联剂的作用效果[ J]. 固体火箭技术, 1997, 20( 1): 66- 71.
[ 14] 文歧业. 矿渣微晶玻璃神经网络专家系统应用 [ D] . 南宁: 广西大学化学化工学院, 2001.
[ 15] 张端庆. 固体火箭推进剂[M ]. 北京: 兵器工业出版社, 1991.
[ 16] 冯华. V isual C + + 数据库开发技巧与实例[M ]. 北京: 机械工业出版社, 2000.

Memo

Memo:
-
Last Update: 2012-11-19