基于多指标综合评价策略的快速冷热成型工艺优化研究

Research on Efficient Process Parameters Optimization of Rapid Heat Cycling Molding Technology Based on Multifactor Comprehensive Evaluation Strategy

在对快速冷热成型(RHCM)工艺深入研究及合理分析的基础上,确定了RHCM制品品质评价指标为制件翘曲变形量、降沉指数和成型收缩率,主要成型工艺参数为模具温度、熔体温度、注射压力、V/P转换压力和保压压力;结合田口实验法、CAE分析和多元线性回归理论建立了可以适当描述RHCM制品品质评价指标与主要成型工艺影响因素之间的关系的多指标综合评价数学模型;整个建模过程沿袭了量纲分析法的建模理论;模型的优化通过改进遗传算法来实现,并经实验验证了该优化方法的可行性。

Based on a deeper understanding and a reasonable analysis on the rapid heat cycling molding （RHCM） technology, the process quality index including warpage, sink index, and volumetric shrinkage were selected as predictive index of plastic parts manufactured by RHCM technology. The main process parameters including mold temperature, melt temperature, injection pressure, pressure at V/P switch-over point, and packing pressure were defined as predictive variances as well. An efficient multifactor comprehensive predictive model was created between molding quality predictive index and main process parameters by coupling with CAE analysis, Taguchi method, and multivariable linear regression methodology. Although the dimension theory did not referred to, it was used during the former research. The comprehensive quality predictive model was interfaced with an effective updated GA to find the optimum process parameters. A case results showed that the model was effective and feasible.