In order to improve the comprehensive quality of high-gloss plastic part

an integrated optimization strategy based on Kriging meta-model and genetic algorithm (GA) was proposed. The optimization strategy was used to optimize the processing parameters of an air-conditioning panel plastics with rapid heat cycle molding (RHCM). Coupled with CAE analysis

the Taguchi method was used to arrange the experimental points. Through the normalization method

linear weighted method and intuitive analysis

it was found that packing pressure

cooling time

melt temperature and heating time were the significant process parameters which affected comprehensive quality of plastic part with RHCM. Then Kriging meta-model was introduced to establish a predictive model between comprehensive quality and the significant process parameters. Besides

GA was used to seek the best result of the predictive model in the feasible solution space. The optimal process parameters were heating time of 36.9 s

melt temperature of 182.9℃

packing pressure of 88.5 MPa

cooling time of 51.3 s. Finally

computer-aided engineering (CAE) analysis and actual production achieved good result

showing that the integrated optimization strategy was feasible and reasonable in processing quality optimization of high-gloss plastic part.