Multi-Objective Optimization Analysis of Automotive Filter Shell Based on DOE Design and MOPSO Algorithm
In order to obtain a good quality automotive filter shell,the automobile filter was analyzed by Moldlfow software,the mold temperature,melt temperature,holding pressure and cooling time of the filter injection molding process were taken as the research variables,and the final warpage deformation of the product was taken as the research target.The experimental samples were obtained by DOE design,and the Kriging model was established according to the sample results.Finally,the minimum warpage deformation of the parts was globally optimized by MOPSO algorithm,and a set of optimal molding process parameters were obtained.The results show that when the mold temperature of the parts is 43℃,the melt temperature is 230℃,the holding pressure is 33 MPa,and the cooling time is 15 s,the warpage deformation of the filter is 0.620 0 mm,and the predicted value is 0.602 7 mm.The error between the two is 3.2%,and it is 1.242 0 mm lower than before optimization,and the molding quality of injection molding parts can be effectively improved by DOE design and MOPSO algorithm.
万方数据
维普
