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平行坐标可视化技术在固体火箭发动机优化设计中的应用
引用本文:欧海英,张为华,李晓斌,刘春梅.平行坐标可视化技术在固体火箭发动机优化设计中的应用[J].固体火箭技术,2004,27(4):255-259.
作者姓名:欧海英  张为华  李晓斌  刘春梅
作者单位:1. 国防科技大学航天与材料工程学院,长沙,410073
2. 二炮四所,北京,100085
基金项目:国家部委预研基金项目(41328010504).
摘    要:由于笛卡尔坐标系的制约,多变量分析及显示成为复杂固体火箭发动机设计优化的难点之一。将平行坐标可视化技术应用于固体火箭发动机设计优化过程,以高压强固体火箭发动机总体参数优化为例,针对不同优化阶段提出不同赋色原则,说明其在发动机设计优化辅助建模、优化过程监控和优化结果鲁棒性分析中的应用。研究结果表明,平行坐标可视化技术在处理固体火箭发动机设计优化多变量分析及显示问题上具有简单、直观等独特优势,易于工程应用。

关 键 词:固体火箭发动机  平行坐标可视化技术  优化设计  辅助建模  过程监控  鲁棒性分析
文章编号:1006-2793(2004)04-0255-05
修稿时间:2004年6月17日

Application of parallel coordinate visualization technology to optimum design for SRMs
OU Hai-ying,ZHANG Wei-hua,LI Xiao-bin,LIU Chun-mei.Application of parallel coordinate visualization technology to optimum design for SRMs[J].Journal of Solid Rocket Technology,2004,27(4):255-259.
Authors:OU Hai-ying  ZHANG Wei-hua  LI Xiao-bin  LIU Chun-mei
Institution:OU Hai-ying~1,ZHANG Wei-hua~1,LI Xiao-bin~1,LIU Chun-mei~2 1. Institute of Aerospace and Material Engineering,National University of Defense Technology,Changsha410073,China, 2. The Fourth Institute of the Second Artillery Equipment Academy,Beijing100085,China.
Abstract:Because of the restraint of the Cartesian coordinate system, multivariable analysis and its visualization are difficult to conduct in optimum design for the complex solid rocket motor. Therefore, a new powerful visualization tool, namely the parallel coordinate visualization technology, was applied to optimum design for SRMs. By taking system parameter optimization of a high pressure solid rocket motor as an example, the variant coloring principle was given based on the variant optimum stage, and the application of the parallel coordinate visualization technology to auxiliary modeling, process control and robust analysis in optimum design for SRM is explicated. The results show that the parallel coordinate visualization technology possesses the advantages of simplicity, direct-viewing and easing for engineering application.
Keywords:solid rocket motor  parallel coordinates visualization technology  optimum design  auxiliary modeling  process control  robust analysis  
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