摘要
阐述了采用基于遗传算法的数值优化技术对等温 CVI工艺参数进行优化的方法和过程 ,并对 2 D C/ C复合材料的 ICVI工艺参数进行了优化。结果表明 ,该技术有助于降低实验成本 ,提高碳基。
The numerical optimization technology based on genetic algorithms was elaborated. The parameters of isothermal Chemical Vapor Infiltration (CVI) process for C/C composite were optimized. The efficiency of the algorithm was also discussed. The results indicate that this technology is very helpful for reducing experiment cost and improving the producing efficiency and quality of C/C composite.
出处
《材料工程》
EI
CAS
CSCD
北大核心
2002年第10期33-35,47,共4页
Journal of Materials Engineering
基金
辽宁省博士启动基金资助项目 ( 2 0 0 110 2 0 88)
