• CN：11-2187/TH
  • ISSN：0577-6686
机械工程学报

›› 2011, Vol. 47 ›› Issue (14): 54-61.

• 论文 • 上一篇    下一篇

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基于响应曲面法与改进遗传算法的RHCM成型工艺优化

刘东雷;申长雨;刘春太;辛勇;孙玲;伍晓宇   

  1. 郑州大学橡塑模具国家工程研究中心;郑州大学材料成型过程与模具教育部重点实验室;南昌大学机电工程学院;深圳大学机电与控制工程学院
  • 发布日期:2011-07-20

Efficient Process Parameters Optimization of Rapid Heat Cycling Molding Technology Based on Response Surface Methodology and Improved Genetic Algorithm

LIU Donglei;SHEN Changyu;LIU Chuntai;XIN Yong;SUN Ling;WU Xiaoyu   

  1. National Engineering Research Center for Application Plastic Processing Technology, Zhengzhou University Key Laboratory of Materials Process & Mold of Ministry of Education, Zhengzhou University College of Mechanical and Electrical Engineering, Nanchang University College of Electro Mechanical and Control Engineering, Shenzhen University
  • Published:2011-07-20

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摘要： 以自主开发的车载高光蓝牙产品为例，研究高光注射成型(Rapid heat cycle molding, RHCM)工艺优化技术。以中心复合试验法(Center composite design, CCD)进行试验规划，采用成型试验与数值模拟并重之方法获取试验样本数据，通过人为引入干扰因子的方法以实现仿真结果可以更真实地反映实际成型状态；引入熵值权重法(Entropy-based weight, EBW)确定各品质指标对制品综合品质影响权重，并结合顺序偏好法(Technique for order preference by similarity ideal solution, TOPSIS)等数据处理技术，从数理角度处理试验数据使之能更客观反应制品最终成型品质状况；引入响应曲面法(Response surface methodology, RSM)，结合方差分析(Analysis of variance, ANOVA)与误差统计分析，建立高光注射成型制品综合品质预测模型；针对传统遗传算法的不足之处提出改进算法(Improved genetic algorithm, IGA)，实现品质预测模型的寻优过程；并经生产验证该优化技术具有很好的适用性。

关键词: 改进遗传算法, 高光注射成型, 工艺优化, 响应曲面法

Abstract: An independently developed vehicle-borne high-gloss bluetooth product is taken as an example in the research of optimization of rapid heat cycle molding (RHCM) technology. Coupling with the experiment and numerical simulation technology, the center composite design (CCD) method is employed in arranging the experimental points. With an interference factor introduced artificially, the simulation results are kept in good consistency with experimental result. And the samples qualitative data is processed to more truly response the product quality by integrating entropy-based weight (EBW) method and technique for order preference by similarity ideal solution (TOPSIS) method. Then a predictive response surface model (RS) for comprehensive quality index is created by using response surface methodology (RSM) based on analysis of variance (ANOVA) method. The RS model is interfaced with an effective improved genetic algorithm (IGA) to find the optimum process parameters values. And the actual production achieves good result, which shows that the process control technology is feasible and effective in processing quality optimization of high-gloss plastic part.

Key words: Improved genetic algorithm, Parameters optimization, Rapid heat cycle molding, Response surface methodology

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