期刊文献+

基于反应曲面法与遗传算法的薄壁注射成型工艺参数预测 被引量:3

Injection Processing Parameters Forecast for Thin Wall Plastics Parts Based on Response Surface Methodology and Genetic Algorithm
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摘要 运用反应曲面法,结合CAE分析及方差分析理论,建立了可以适当描述塑料薄壁件注射成型参数与成型品质因素之间关系的数学模型,并结合遗传算法,对各成型参数进行优化,以期提高成型品质,实例验证了该算法的可行性。 This article employed the response surface methodology (RSM), combined with CAE technology and analysis of variance theory (ANOVA) to establish an optimization model, which describes the relationship between the main processing parameters and thin wall part quality. The processing parameters were optimized using the genetic algorithm (GA). A case study showed that the method was effective and feasible.
出处 《中国塑料》 CAS CSCD 北大核心 2007年第3期53-57,共5页 China Plastics
基金 教育部科技研究重点资助项目(03066) 江西省主要学科跨世纪学术带头人资助项目(Z1815)
关键词 反应曲面法 遗传算法 塑料薄壁件 成型工艺参数 优化 response surface methodology genetic algorithm thin wall plastics part processing parame- ter optimization
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