高分子注塑成型产品质量关键工艺参数的多目标优化设计

A multi-objective optimization design method based on gradient-enhanced Kriging (GEK) model was proposed to optimize the key process parameters of plastic injection molding (PIM) for improving the product qualities. According to the process parameters and quality indicators, an orthogonal experimental design with seven factors and three levels was carried out for the air conditioner cover PIM process, and Moldflow software was used to perform mold flow analysis and calculation. Then signal-to-noise (S/N) and analysis of variance (ANOVA) were used to determine the key parameters affecting product quality. The GEK model was introduced to establish a predictive model between quality index and process parameters. MODE algorithm was used to seek the global optimal solution with the best quality and shortest cycle time, and the optimal design parameters were verified by Moldflow simulation. The result showed that warpage, volume shrinkage and cycle time were reduced by 0.88%, 4.68% and 14.81%, respectively, greatly improving product quality and production efficiency.