Research On Optimization Of Injection Molding Process Parameters Based On MOLDFLOW Rubber Windshield

The high-speed rail outer windshield is the main component on the train.Due to its large size,complex shape and high quality requirements,if the molding method is adopted,there are problems such as low molding efficiency,unstable quality and high operating strength,so injection molding is adopted.production methods.Due to the large amount of injection and thin wall of the external windshield,various defects are easy to occur after injection molding.Therefore,it is necessary to study the optimization of the injection molding process parameters of the external windshield.In this paper,the high-speed rail car windshield is taken as the research object,and the injection molding process parameters are optimized.Firstly,the PRO/E software was used to model the high-speed rail outer windshield.The MOLDFLOW software was used to simulate the flow of EPDM rubber in the cavity.Five injection schemes were selected for simulation,and the optimal injection scheme was selected.Orthogonal test and BP neural network genetic algorithm optimize the volume shrinkage and shrinkage index at the time of ejection,and finally get the best combination of injection process parameters,and use MOLDFLOW software to verify the simulation,and obtain the optimized volumetric shrinkage when ejecting.Rate and shrinkage index.The main research contents of this paper are as follows:(1)By reading a large number of relevant literatures at home and abroad,the research status of CAE and injection molding process optimization algorithms for highspeed rail exterior windshield,injection molding technology is summarized.The main process parameters affecting the quality of the outer windshield of the high-speed train are analyzed.The mechanism,influencing factors and solutions of the volume shrinkage and shrinkage index of the high-speed rail outer windshield are introduced.(2)Using PRO/E software to model the external windshield,first design five injection schemes,use MOLDFLOW to simulate the injection molding of the rubber outer windshield,and compare the filling time,maximum clamping force,number of air pockets and welding of the five schemes.The line,the injection pressure,and the shear stress on the wall selected a solution with a number of injection ports of 8.(3)Through the orthogonal test,the effect of each injection process parameter on the volume shrinkage and shrinkage index of the external windshield when it was ejected was studied by MOLDFLOW software.Using the range analysis,variance analysis and grey correlation analysis,the mold temperature was 160 °C,the melt temperature was 80 °C,the injection time was 198 s,the holding time was 12 s,and the holding pressure was 100 MPa,which was the optimal combination of process parameters.Based on the simulation,the volume shrinkage at the time of ejection is 4.533%;the shrinkage index is 5.712%.(4)Combining the data obtained by orthogonal experiment,the mathematical relationship model between injection process parameters and quality indicators is established by using neural network.BP neural network and genetic algorithm are used to calculate the volume shrinkage and shrinkage index of the external windshield.Optimization,the mold temperature is 158.0082?,the melt temperature is 76.3803?,the injection time is 198.8881 s,the dwell time is 12.691 s,the holding pressure is 100.6631 MPa,and the optimum combination of process parameters is optimized.Based on this,the simulation is verified.The volumetric shrinkage at the time of ejection was 4.434% and the shrinkage index was 5.527%.