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Research On Stamping Forming Parameters Optimization And Life Of Stamping Die For Outer Plate Of Rear Wheel Cover

Posted on:2024-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:K F YangFull Text:PDF
GTID:2531307115978099Subject:Mechanics
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Automobile outer covering parts were characterized by multiple curved surfaces,thin sheet material,and complex geometric space structure,which often require a multi-step process to complete the final forming of parts.As the first step in the stamping process route,the quality of the drawing process can directly affect the continuation of subsequent operations and the quality of the final forming of the part.The drawing mold was a vital tool for improving the forming quality of the drawing process,the surface wear condition determined the service life of the mold and whether the processing and production of the parts were qualified.With the continuous maturity of CAE technology,it had been widely used in parts processing and mold surface wear analysis,which can be used to optimize forming process parameters,improve part forming quality,extend mold service life and reduce enterprise development costs.In this dissertation,the outer plate of rear wheel cover as the research object,used CATIA to carry out a three-dimensional modeling design for the outer plate of rear wheel cover,designed a drawing mold for the parts,used Autoform to simulate the drawing process of the outer plate of rear wheel cover,took the maximum thinning rate and the maximum wrinkling rate as the forming indicators,and designed and completed orthogonal experiments to optimize the process parameters.Used Deform-3D to simulate the surface wear of the drawing mold.Orthogonal test,BP neural network and WOA-BP neural network were used to optimize the forming process parameters to obtain the optimal combination of process parameters and improve the mold service life.The main research contents were as follows:1.The structure of the outer plate of rear wheel cover was designed,the blank size and layout method of the plate were determined based on the configuration of the part,and the stamping process route for the outer plate of rear wheel cover was designed,and the structure of the drawing die for the part was designed according to the mold design standards.2.The theoretical formula of maximum drawing force in the drawing process of the outer plate of rear wheel cover was derived,and the theoretical maximum drawing force was calculated.The theoretical calculation results were compared with the empirical formula results,verified the theoretical calculation method.3.Used Autoform to simulate the forming process of the outer plate of rear wheel cover drawing process,the mold gap,friction coefficient,and blank holder force were selected as experimental factors,and the maximum thinning rate and maximum wrinkling rate of the sheet metal were used as forming evaluation indicators to design and complete orthogonal experiments.The range analysis of the experimental results was conducted to obtain the impact of various process parameters on product forming.The optimal combination of process parameters was selected for forming simulation to obtain the optimal forming results.4.Used Deform-3D to simulate the surface wear process of drawing mold,a control group was set up based on the principle of minimum grid size division to verify the grid division independence analysis.The fourfactor and four-level orthogonal experiment was designed,used SPSS to perform linear regression analysis on the test data,and an empirical formula for surface wear of drawing mold was obtained.5.The BP neural network model between mold surface wear and process parameters was established by MATLAB.The weight and threshold of hidden layer nodes of the BP neural network were optimized by the whale algorithm,and the optimized WOA-BP neural network model was established.The optimal process parameter combination was obtained by using this model,and verified by simulation.
Keywords/Search Tags:Rear wheel cover outer plate, Draw, Orthogonal test, BP neural network, Whale algorithm, Process parameter optimization
PDF Full Text Request
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