基于Kriging与GA的双层变模温注射成型收缩控制策略

doi:10.11949/j.issn.0438-1157.20160637

化工学报 ›› 2017, Vol. 68 ›› Issue (1): 391-397.DOI: 10.11949/j.issn.0438-1157.20160637

• 材料化学工程与纳米技术 • 上一篇下一篇

基于Kriging与GA的双层变模温注射成型收缩控制策略

王梦寒, 刘晓, 危康, 李雁召

重庆大学材料科学与工程学院, 重庆 400030

收稿日期:2016-05-09 修回日期:2016-10-14 出版日期:2017-01-05 发布日期:2017-01-05
通讯作者: 王梦寒
基金资助:
中央高校基本科研业务费专项资金（CDJZR11130003）。

Strategy of molding shrinkage control for Bi-layered RHCM based on Kriging and GA

WANG Menghan, LIU Xiao, WEI Kang, LI Yanzhao

College of Material Science and Engineering, Chongqing University, Chongqing 400030, China

Received:2016-05-09 Revised:2016-10-14 Online:2017-01-05 Published:2017-01-05
Contact: 10.11949/j.issn.0438-1157.20160637
Supported by:
supported by the Fundamental Research Funds for the Central Universities(CDJZR11130003).

摘要/Abstract

摘要：

高温、高压的成型条件，使双层变模温制品的成型收缩对工艺参数的变化极为敏感，双层变模温制品的成型收缩控制策略成为提高制品质量的关键。以某空调遥控器前盖双层变模温成型工艺开发为例，探讨并制定了其成型收缩的控制策略。确定了考量成型收缩的多目标评价体系及参数变量，以拉丁超立方取样设计试验，并利用数值模拟软件进行充模、保压及冷却等过程模拟获取试验数据，建立了基于Kriging代理模型的变量与评价指标间的数学关系；利用遗传算法对数学关系进行迭代，寻找最优成型收缩的评价指标及变量组合；最后，将模拟及生产试验对研究策略的科学有效性进行验证。

关键词: 双层变模温成型, 收缩控制, Kriging模型, 遗传算法, 数值模拟

Abstract:

Due to high temperature and high pressure conditions of Bi-layered rapid heating cycle molding(Bi-layered RHCM), the molding shrinkage of its products is extremely sensitive to the change of process parameters, therefore, the key to improve quality of products is the strategy of molding shrinkage control.In order to explore and develop the strategy of molding shrinkage control, a remote control's front cover of air conditioner was an example for molding in this paper.Determined a multi-objective evaluation system and process parameters for measuring molding shrinkage.Latin Hypercube Sampling was used to design experiments, moreover, a numerical simulation software named Moldflow was used to simulate mold filling, pressure maintaining and cooling process to obtain test data.The mathematical relationship between parameters and evaluation index was estabilished by Kriging model.In order to find out the optimal evaluation index of molding shrinkage and corresponding process parameters, the mathematical relationship was iterative calculation by means of genetic algorithm(GA).Both simulation and production test were applied to verify the strategy of molding shrinkage control based on Kriging model combined with GA, and provide the reference of molding shrinkage control of Bi-layered RHCM.

Key words: Bi-layered RHCM, shrinkage control, Kriging model, genetic algorithm, numerical simulation

中图分类号:

TQ320.66

王梦寒, 刘晓, 危康, 李雁召. 基于Kriging与GA的双层变模温注射成型收缩控制策略[J]. 化工学报, 2017, 68(1): 391-397.

WANG Menghan, LIU Xiao, WEI Kang, LI Yanzhao. Strategy of molding shrinkage control for Bi-layered RHCM based on Kriging and GA[J]. CIESC Journal, 2017, 68(1): 391-397.

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基于Kriging与GA的双层变模温注射成型收缩控制策略

Strategy of molding shrinkage control for Bi-layered RHCM based on Kriging and GA

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