中国塑料 ›› 2016, Vol. 30 ›› Issue (07): 69-76 .DOI: 10.19491/j.issn.1001-9278.2016.07.014

• 加工与应用 • 上一篇    下一篇

基于响应面法的水辅助共注塑管件的工艺参数优化

匡唐清1,王刚义2,周凯2,吴丽旋3   

  1. 1. 华东交通大学2. 华东交通大学机电学院3. 广东轻工职业技术学院
  • 收稿日期:2016-01-04 修回日期:2016-03-27 出版日期:2016-07-26 发布日期:2016-07-26

Optimization of Processing Parameters of Water-assisted Co-injection Molding Pipes Using Response Surface Methodology

  • Received:2016-01-04 Revised:2016-03-27 Online:2016-07-26 Published:2016-07-26

摘要: 以最小总壁厚及内层壁厚为目标,基于响应面法(RSM)对成型工艺参数进行优化。由单因素实验确定总壁厚和内层熔体壁厚的主要影响因素;由PlackettBurman试验确定关键因素;再通过BoxBehnken试验设计和响应面法分析与优化,获得最小总壁厚和内层熔体壁厚的工艺条件为:注水压力7.5 MPa,注水延迟时间2s,内层熔体温度215℃;在优化条件下,利用Design-expert模型预测总壁厚和内层壁厚与实验结果吻合较好,表明响应面法能够优化水辅助共注塑管件最小壁厚的工艺参数。

关键词: 水辅助共注射成型, 溢流法, 响应面法, 壁厚

Abstract: In order to obtain the minimum values of the total residual wall thicknesses (RWT) and the inner melt RWT, response surface methodology (RSM) was used to optimize the processing parameters. A pipe with a 20 mm diameter and a 200 mm length was chosen as a test case. High density polyethylene (PE-HD) and polypropylene (PP) were used as the skin layer and the inner layer plastics in the experiments, respectively. Based on single factor experiment main influence factors of the total RWT and the inner melt RWT of O-WACIM were obtained. The result of a Plackett-Burman experiment exhibited the key influence factors of the total RWT and inner melt RWT of O-WACIM. Based on a Box-Behnken experiment and a RSM analysis and optimization, the optimized processing parameters to get the minimum values of the total RWT and the inner melt RWT were obtained: the water pressure 7.5 MPa, the water injection delay time 2 s, the inner melt temperature 215 ℃. Under the optimized conditions, the predicted total RWT of Design-expert was in good agreement with the experiment results. The research indicated that RSM could be used to optimize the processing parameters to obtain the minimal total RWT and inner melt RWT of O-WACIM pipes.

Key words: water-assisted co-Injection molding, overflow, response surface methodology, residuall thickness