关键词: 真空差压注型, 工艺参数优化, 熵值权重法, 响应面模型, 多种群改进遗传算法

Abstract: To solve the forming process parameter optimization of Differential Pressure Vacuum Casting (DPVC),a DPVC process parameter optimization method was proposed based on entropy weight method,response surface model and multi-population improved genetic algorithm.The sample data were obtained through orthogonal experiment and numerical simulation methods,and the weight of each index on product quality was determined with entropy weight method.Based on center composite design and response surface model,the comprehensive evaluating model for product quality was built.Aiming at the defect of traditional genetic algorithm,an improved genetic algorithm based on multi-population was proposed to optimize the solution of established evaluation model.On self developed V500-ND prototype machine,the effectiveness of proposed method was verified by process optimization test of headlamp in one brand of motorcycle,which could provide the feasible process optimization for DPVC forming process set.

Key words: differential pressure vacuum casting, process parameters optimization, entropy weigh method, response surface model, multi-population improved genetic algorithm