基于PSOBPNN和NSGA-Ⅱ的微孔发泡工艺参数多目标优化  

Multi-objective Optimization of Injection Process Parameters for Microcellular Foaming Injection Molding Based on PSOBPNN and NSGA-Ⅱ

作　　者：邓峰 郭巍[1] DENG Feng;GUO Wei(Hubei Collaborative Innovation Center for Automotive Components Technology,Hubei Key Laboratory of Advanced Technology for Automotive Components,School of Automotive Engineering,Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]武汉理工大学汽车工程学院武汉理工大学现代汽车零部件技术湖北省重点实验室武汉理工大学汽车零部件技术湖北省协同创新中心

出　　处：《塑料工业》2019年第11期49-54,77,共7页China Plastics Industry

基　　金：国家自然科学基金青年基金会(NO.51605356);武汉理工大学研究生优秀学位论文培育项目(2018-YS-027);111项目(B17034);中央大学基础研究基金(WUT:2017IVB035)

摘　　要：微孔发泡材料具有质量轻、冲击强度高、韧性强等优点,但其工艺控制复杂,易产生制件表面翘曲和顶出时体积收缩率增加等问题。利用PSOBP神经网络,构建8个工艺参数和3个优化目标之间的数学关系,并验证其准确性;通过多目标遗传算法进行寻优,结合模糊控制确定最优工艺参数组合。优化后的制件翘曲值为0.7519 mm,制件质量为6.9544 g,顶出时体积收缩率为3.4066%。经验证实验证明,优化结果显著且准确。Microcellular foaming material had the advantages of light weight,high impact strength and toughness,however,its process control was complicated,and warpage and volume shrinkage of the part were easily generated.Using the PSOBP neural network to construct a mathematical relationship between 8 process parameters and 3 optimization targets,then its accuracy was verified.The optimal process parameters were determined by multi-objective genetic algorithm and fuzzy control.After optimized,the warpage value of the part was 0.7519 mm,the weight of the product was 6.9544 g,and when ejecting the volume shrinkage was 3.4066%.The verification experiments proved that the optimization results were significant and accurate.

关 键 词：微孔发泡材料 成型 成型质量 质量 多目标优化 

分 类 号：TQ328.06[化学工程—合成树脂塑料工业]