| In recent years,the energy consumption and exhaust emission of fuel-fueled vehicles have become a major problem to be solved.Automobile lightweight as an effective way to improve fuel economy and energy conservation and environmental protection has been favored by major automobile manufacturers.Plastic back door is one of the typical applications of lightweight materials.Automotive plastic back door has the following advantages:reduce the quality and the fuel consumption,shorten the production cycle,strong shape design,improve the door opening and closing light,sound quality,good recovery,can reduce the car cost.This article is based on a certain car outside a plastic back plate as the research object,used the UG mold design of automotive plastic back door board,at the same time,Moldflow2018 is used to simulate the injection molding process of the plastic back and outer panels.The process parameters affecting the injection molding process were studied and analyzed by orthogonal test.On this basis,aguchi algorithm is used to optimize and verify the process parameters in the injection molding process of automotive plastic back and exterior panels.This paper mainly studies the following aspects:(1)Product design.CATIA software is used to design the original structure of the steel back door panel of automobile.The modal and thermodynamic properties of the plastic back door panel are changed by changing the different injection materials of the back door panel.ANSYS and HYPERWORKS is used to analyze the back door of the selected material,through the analysis to select best material,so that the modal and thermodynamic performance of the product can be satisfied and improved.(2)Mold design of plastic back and outer plate.UG10.0 was used to design the convex and concave formwork molded by injection molding on the plastic back and exterior panels of automobiles.According to the characteristics of the parts and the design requirements of the injection mold,the pouring and cooling systems were designed in multiple schemes,and the influences of the pouring and cooling systems under different schemes on the injection molding were compared,finally selected the best pouring system and cooling system.(3)Selected five injection molding process parameters.The warping deformation and volume shrinkage were used as evaluation indexes to design the test group,and the obtained data were processed at the same time.The process parameters affecting the evaluation indexes were analyzed by means of numerical analysis.The analysis methods include range analysis,grey relational degree and Taguchi method.(4)Parameter optimization.On the basis of the above work,the least square method and artificial fish swarm algorithm were used to optimize the process parameters of impact evaluation index,analyze the optimized data,find the optimal parameter combination,and conduct simulation verification with Moldflow.Main conclusions and innovations of this paper:Design plastic back door board,through the finite element analysis to verify the designed parts meets the demand of its mechanical properties,to use software to simulate the process of injection molding,design of orthogonal test,using different methods of data processing to deal with the experimental data,the optimization algorithm is used to optimize the process parameters for impact assessment indicators.(1)Using the lightweight program of plastic instead of steel,the rear door panel of the car was designed.At the same time,CAE software were used to verify that it met the requirements,designed the optimal pouring system and cooling system for plastic back door panel injection molding.(2)The artificial fish swarm algorithm was used to optimize the process parameters of injection molding,and obtained the optimal combination of the process parameters of the back and outer panels of automobiles... |
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