中国塑料 ›› 2009, Vol. 23 ›› Issue (12): 60-64 .DOI: 10.19491/j.issn.1001-9278.2009.12.014

• 加工与应用 • 上一篇    下一篇

基于综合关联度的注塑成型工艺参数多目标优化研究

黄风立 许锦泓 顾金梅 娄勇坚   

  1. 嘉兴学院机电工程学院
  • 收稿日期:2009-08-10 修回日期:1900-01-01 出版日期:2009-12-26 发布日期:2009-12-26

The Optimum Method on Craft Parameters of Plastic Injection Based on Synthesis Relation degree

HUANG Feng-Li   

  • Received:2009-08-10 Revised:1900-01-01 Online:2009-12-26 Published:2009-12-26
  • Contact: HUANG Feng-Li

摘要: 针对注射成型过程中的两个品质指标(翘曲量和收缩率),提出了基于综合关联度、Kriging模型及自适应遗传-蚁群算法的注射成型工艺参数优化方法。首先给出了综合关联度的定义及计算方法,然后给出了Kriging模型的拟合方法和自适应遗传-蚁群的优化算法。在结合带凸沿杯子的注射成型具体实例研究中,首先给出了注射成型工艺参数的范围,其次给出了基于正交实验的设计变量确定方法,然后基于超拉丁立方实验及Kriging方法进行模型近似,最后利用自适应的遗传-蚁群算法进行优化求解。模流分析及实际注塑实验表明,注射成型工艺参数优化的结果可靠,具有较好的实际意义。

关键词: 注塑成型, 综合关联度, Kriging模型, 遗传—蚁群混合算法

Abstract: In order to control two factors in plastic injection molding, warpage and shrinkage, an optimization method for the molding parameters was proposed based on correlative degree, Kriging model, and adaptive genetic-ant algorithm. The definition and calculation method of correlative degree were defined first, and the approximate model based on Kriging model and genetic-ant algorithm were introduced. In the case of plastic injection molding of fruit plate, the range of the technical parameters were first determined through orthogonal experiments, a approximate model was formulated based on Hyper-Latin square experiment and Kriging method, which was optimized via genetic-ant algorithm. The obtained parameters could well be applied to practical injection molding.

Key words: Plastic injection, Synthesis relation degree, Kriging model, Genetic-ant colonies algorithm