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基于代理模型和改进遗传算法的注塑翘曲优化 被引量:4

Surrogate model and improved genetic algorithm-based warpage optimization of injection molding
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摘要 提出一种最小化制品翘曲的注塑工艺参数优化集成方法.以空调柜机顶盖注塑制品开发为例,该方法使用Moldflow软件分析制品的翘曲变形,运用田口方法确定与制品翘曲量密切相关的工艺因素,然后采用响应曲面法(RSM)和改进的精英保留自适应遗传算法(EAGA)相结合的方法,建立主要影响工艺参数与制品翘曲量之间的关系模型,通过对模型寻优以实现对制品翘曲的优化.该方法的适用性在制品的实际生产中得到了验证. In this paper,an integrated optimization method was proposed to minimize warpage.An air-condition top cover was taken as an example in the research of warpage optimization of injection molding.Molflow software was used to analyze the warpage deformation of the injection-molded parts,and the significant process parameters influencing warpage were determined using FE analysis results based on Taguchi method.Then a predictive model for warpage index was created and the optimum process parameter values were solved by combining response surface methodology(RSM) and an effective genetic algorithm(GA) improved by using self-adaptive and elitism strategies.The actual production shows that the optimization method proposed is feasible and effective in processing plastic part.
出处 《材料科学与工艺》 EI CAS CSCD 北大核心 2013年第2期96-101,共6页 Materials Science and Technology
基金 重庆市自然科学重点基金项目(CSTC2009BA4065)
关键词 注塑成型 翘曲变形 工艺参数优化 响应曲面法 改进遗传算法 injection molding warpage deformation process parameters optimization response surface methodology improved genetic algorithm
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