基于灰色关联分析和熵权法的双色注塑多目标参数优化  

Optimization of multi⁃objective parameters for double color injection⁃molding based on grey relational analysis and entropy weight method

作　　者：王晓东[1] 王权[1] 陈拓 郑悦 WANG Xiaodong;WANG Quan;CHEN Tuo;ZHENG Yue(National Local Joint Engineering Laboratory of Intelligent Manufacturing Oriented Automobile Die&Mold,Tianjin University of Technology and Education,Tianjin 300222,China)

机构地区：[1]天津职业技术师范大学,汽车模具智能制造技术国家地方联合工程实验室,天津300222

出　　处：《中国塑料》2022年第7期115-120,共6页China Plastics

基　　金：天津市科技特派员项目(20YDTPJC00100)。

摘　　要：以双色塑料碗为例,给出了一种实现多目标优化的分析方法。选定第一射和第二射的模具温度、熔体温度、保压压力为因素变量,第二射的平均体积收缩率和总翘曲量为优化指标,设计了6因素5水平的正交试验,使用Moldflow软件进行模拟分析。利用试验所得指标参数进行信噪比处理,通过熵权法计算出2个优化指标的权重,最终得到灰色关联度,实现了多目标优化到单目标优化的转变。对优化后的工艺参数进行模拟分析,得到的第二射平均体积收缩率最大值为15.67%,总翘曲变形量最大值为1.964 mm,较原始工艺参数的分析结果分别降低了7.8%和18.4%,产品质量得以提升。试验结果表明了正交试验、灰色关联分析和熵权法相结合实现多目标优化在注塑工艺参数寻优中的有效性。Taking a double color plastic bowl as an example,a multi‑objective optimization analysis was carried out in this paper.The mold temperature,melt temperature,and holding time of the first injection and the second injection were se‑lected as factor variables.The average volume‑shrinkage and total warpage rates of the second injection were selected as optimization indexes.The orthogonal experiments with six factors and five levels were designed and simulated by means of the Moldflow software.The signal/noise ratio was processed using the index parameters obtained from the experi‑ment,and the weight of two optimization indexes was calculated using an entropy weight method.Finally,the grey rela‑tional degree was obtained,and the transformation from the multi‑objective optimization to the single‑objective optimiza‑tion was realized.The optimized process parameters were simulated and analyzed.The maximum average volume‑shrinkage rate of the second injection and the maximum total warpage rates were determined to be 15.67%and 1.964 mm,respectively,which decreased by 7.8%and 18.4%,respectively,compared to the analysis results of the original pro‑cess parameters.This resulted in an improvement in product quality.The experimental results indicated that a combina‑tion of orthogonal experiment,grey relational analysis and entropy weight method could effectively optimize the injection‑molding process parameters.

关 键 词：双色注塑 正交试验 灰色关联分析 熵权法 多目标优化 

分 类 号：TQ320.662[化学工程—合成树脂塑料工业]