关键词: 板料成形, 径向基函数, 粒子群算法, 参数反求

Abstract:

In order to obtain the forming parameters of materials under the conditions of complex states of stress and strain accurately and improve the accuracy of finite element numerical simulation of sheet metal forming, a new method based on the advanced RBF surrogate model was  presented. By introducing a radial correction coefficient into the radial basis kernel function of the RBF surrogate model, and using PSO to optimize the radial correction coefficient, the approximation accuracy of the model could be improved. Applying the PSO-RBF model to a nonlinear function, it shows that this method can improve the accuracy of the model effectively. At the same time,the PSO-RBF model was applied into the parameter reverse of sheet forming. The results show that the material parameters based on the PSO-RBF model can reflect the sheet forming materials flow trend and strain distribution more accurately.

Key words: sheet forming;radial basis function(RBF);particle swarm optimization(PSO) , algorithm;parameter inverse