摘要
针对复杂曲面构件注塑成型过程中体积收缩率、翘曲变形量和缩痕指数最小化等多目标优化问题,采用正交试验法设计了六因素五水平的聚甲醛叶轮注塑加工试验;基于灰色关联分析将多目标优化问题转化为单目标优化问题,利用主成分分析法确定体积收缩率、翘曲变形量和缩痕指数对灰色关联度的影响权重;通过对试验数据的回归分析,建立了灰色关联度与注塑成型主要工艺参数的二阶预测模型;基于各工艺参数对体积收缩率、翘曲变形量和缩痕指数影响规律的分析,确定了注塑工艺参数的优化方案。利用响应曲面求解注塑成型参数优化问题并进行注塑成型仿真实验,结果表明:由该优化方法获得的注塑成型工艺参数组合可以使制品的体积收缩率、翘曲变形量和缩痕指数均大幅减小。
Aiming at the multi-objective optimization problems of volume shrinkage, warping deformation and sink marks in injection molding of POM impeller with complex surface, 25 experimental runs based on Taguchi method orthogonal arrays were studied to pick the best factor level condition. Based on grey relational analysis, the multiple objective optimization problem was transformed into a single objective optimization problem, and the infl uence weights of volume contraction, warping deformation and sink marks on grey relational degree were determined by principal component analysis. Based on the regression analysis of experimental data, a second-order prediction model was established between grey relational degree and main process parameters of injection molding. And the optimization scheme of injection molding process parameters was determined by the analysis of the infl uence of each process parameter. Finally, the results show that the warpage deformation, volume shrinkage and shrinkage index of the product can be greatly reduced by using the optimized injection molding process parameters based on the CAE simulation experiment of injection molding.
作者
黄海松
张鲁滨
姚立国
Huang Haisong;Zhang Lubin;Yao Liguo(Key Laboratory of Advanced Manufacturing Technology,Ministry of Education,Guizhou University,Guiyang 550025,China)
出处
《塑料科技》
CAS
北大核心
2019年第1期104-110,共7页
Plastics Science and Technology
基金
国家自然科学基金(5186504)
贵州省科技重大专项计划(黔科合重大专项[2017]3004)
贵州工业攻关重点项目(黔科合GZ字[2015]3009,黔科合GZ字[2015]3034)
贵州省教育厅项目(黔教合协同创新字[2015]02)
贵州省科学技术基金(黔科合J字[2015]2043)(1)
关键词
注塑成型
多目标优化
正交试验
灰色关联分析
主成分分析
叶轮
Injection molding
Multi-objective optimization
Orthogonal test
Grey relational analysis
Principal Component analysis
Impeller
