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

Abstract

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

CLC Number:

TQ320

LIU Donglei;SHEN Changyu;LIU Chuntai;XIN Yong;SUN Ling;WU Xiaoyu. Efficient Process Parameters Optimization of Rapid Heat Cycling Molding Technology Based on Response Surface Methodology and Improved Genetic Algorithm[J]. , 2011, 47(14): 54-61.

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

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