摘要
以PPO/PA(聚苯醚/聚酰胺)翼子板为研究对象,在数值模拟基础上提出了一种主成分分析(PCA)结合灰色关联度(GRA)的研究方法,得到第一主成分方程、各项指标贡献度、各工艺参数对综合质量的影响程度及较优工艺参数组合,实现翼子板翘曲变形、体积收缩不均和缩痕等缺陷的优化。结果表明,各工艺参数对综合质量的影响程度为:冷却时间>模具温度>熔体温度>保压时间>保压压力;优化后,最大翘曲变形量、体积收缩率和缩痕长度分别由原来的11.29 mm、16.24%、0.0606 mm下降到10.21 mm、14.4%、0.0564 mm,分别下降了9.6%、11.33%和7%。
This paper reported an intensive study on the injection molding of polyphenylene ether/polyamide fender.Based on the results from numerical simulation,a research method of principal component analysis combined with grey relational analysis was proposed to obtain the first principal component equation.Then,the contribution degree of each index,the influence degree of each process parameter on the comprehensive quality,and the combination of better process parame-ters were achieved to optimize the defects such as wing warpage deformation,uneven volume shrinkage and shrinkage mark.The results indicated that the influence degree of each process parameter on the comprehensive quality increased by an order of:cooling time>die temperature>melt temperature>holding time>holding pressure.After optimization,the maximum warpage deformation decreased by 9.6%from 11.29 to 10.21 mm,volume shrinkage decreased by 11.33%from 16.24%to 14.4%,and shrinkage mark length decreased by 7%from 0.0606 to 0.0564 mm.
作者
欧阳宇
刘泓滨
OUYANG Yu;LIU Hongbin(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China)
出处
《中国塑料》
CAS
CSCD
北大核心
2022年第5期99-103,共5页
China Plastics
关键词
翼子板
主成分分析
灰色关联度
多目标
fender
principal component analysis
grey relational analysis
multiple target
