Multi-objective optimization of microporous foam injection molding process for rear fender based on Moldflow
The rear fender of the car body was used for molding simulation analysis with Moldflow software.Orthogonal experiments and grey correlation analysis combined with entropy weight method were used to optimize the injection molding process parameters,and actual mold verification was carried out.The results show that the use of microcellular foam injection molding can achieve weight and warping reduction of the rear fender of the vehicle body.The optimal process parameters include the melt temperature of 235℃,the mold temperature of 35℃,the filling time of 3.5 s,the filling volume percent of 92%,and the initial gas concentration of 1.2%.The total mass of the parts made is 1 362.2 g,and the Z-direction warping deformation is 1.006 mm.Compared to the application of default process combination of microcellular foaming,it reduces by 18.4 g and 0.478 mm,respectively.The application of grey correlation analysis combined with entropy weight method for process optimization can meet the requirements of product weight and warping deformation reduction.
rear fender of car bodymicrocellular foam injection moldingorthogonal experimentgrey relational analysisentropy weight methodmulti-objective optimization