Optimization Of Process Parameters For Injection Molding Of Automobile Front End Fender

With the rapid development of the automotive industry,environmental problems and energy consumption caused by automobiles have received more and more attention.The state has issued relevant legal documents to limit automobile emissions.Automotive lightweight technology is the key technology for energy conservation and emission reduction.Relevant data show that the quality of the whole vehicle is reduced by 50%,and the fuel consumption is also reduced by nearly 50%.In order to reduce the overall quality of the vehicle body and improve the power utilization rate,the concept of"Plastic parts instead of metal parts"is gradually applied to automobile design and production.The automotive industry is moving towards the development of Automotive lightweight and energy conservation and environmental protection.The traditional automobile fenders are basically made of high-quality steel in the material selection.The process of stamping and forming process is complicated,the trimming process is cumbersome and the mold cost is high.The plastic fenders have light weight,wide material source and protection for people during collision.Strong ability and other advantages.The molding of automotive plastic fenders requires injection molding,and the study of injection molding is an indispensable process.The combination of injection molding CAE and optimized design method can effectively avoid the deficiencies of traditional mold development,improve production efficiency and product quality,which is of great significance for improving the quality of plastic parts and reducing development costs.In this paper,the plastic wing fender of the front end of a certain model is taken as the research object,and the filling difficulties encountered during the injection molding process,the poor molding quality of the plastic parts,the large amount of warpage,the unsatisfactory cooling effect,and the unreasonable selection of process parameters are all carried out.the study.According to the design input and design requirements of an automobile trim company,CATIA is used to design the 3D model of the front wing fender of the automobile,and the feasibility study of the front end fender of the PP composite material is carried out by ANSYS;the optimization design of the pouring system and the cooling system is carried out.Based on the analysis of orthogonal test data of Moldflow simulation results,the influence of molding process parameters on the evaluation index-warpage quantity is studied.The BP neural network of automobile plastic fender warping model is established,and the genetic algorithm is used to optimize the process parameters.Optimization Results.The main contents of the paper are as follows:(1)Feasibility study on PP composite material"Plastic parts instead of metal parts"for automobile front-end fenders;establishment of three-dimensional model of plastic front fenders for automobile front end and modal and stiffness analysis(2)Analyze the selection of automotive plastic fender materials,design injection molding plastic molds,and study the parting surface,cavity,inclined guide column,pouring system and cooling system scheme;(3)Using Moldflow to simulate the injection molding process,design the orthogonal experiment,select the test factors and evaluation indexes,and analyze the variance and the range analysis of the simulation results to find the influence trend and size of the experimental factors on the experimental targets;(4)Based on the orthogonal experimental results,the BP neural network warping process parameter optimization model of automobile plastic fender is established,and the genetic algorithm is used for optimization and simulation verification.Innovation of this paper:(1)Calculate the thickness of the plastic composite fender of PP composite by using the equal strength theory,and analyze the modality and stiffness of the fender to verify whether it meets the design requirements;(2)Based on Moldflow,the optimal design of the pouring system and cooling system for the front end fender of the car;(3)The BP neural network optimization method is improved and the additional momentum term is added.The BP neural network optimization model of the vehicle front wing fender is established.The genetic algorithm is used to obtain the optimal process parameter combination of the automobile front end fender injection molding.