Study on side wall wrinkling and finite element simulation in stamping process of aluminum alloy sheet
To resolve the side wall wrinkling problem of aluminum alloy sheet,this study through finite element software investigated the influence of process parameters on the forming quality,proposing an optimization method based on the combination of numerical simulation and intelligent algorithm.Firstly,the optimal Latin hypercube sampling is used for experimental design,and the experimental values are obtained by numerical simulation.Secondly,based on BP neural network,the relationship between process parameters and forming quality is fitted.The average relative error of the prediction results is 2.69％,and an accurate prediction model is established.Finally,a set of optimal combination of process parameters is obtained by using the extreme value optimization of genetic algorithm.The relative error between the predicted value and the simulated value of wrinkling amplitude is merely 4.03％.The experimental results prove to be similar to the simulation results,verifying the rationality and effectiveness of the optimization method.The study shows that the geometric model is established with the material thickness,friction coefficient and blank holder force as the optimization variables,and the minimum maximum wrinkling amplitude as the optimization objective.Worthy of note,the finite element software Autoform is used for simulation analysis,and the comparison between the experimental results and the numerical simulation in relation to the radial displacement of the wrinkling contour verifies the finite element model,suggesting that the neural network and genetic algorithm can effectively solve the wrinkling defect of the aluminum alloy sidewall.
万方数据
维普
