In order to optimize the stamping process of sheet metal forming,a new optimal design method was studied.The multiple non-linear regression function model between process parameters and forming quality wsa constructed using support vector machine (SVM). Based on the model, a kind of swarm intelligence algorithm called stochastic focusing search (SFS) was applied to search the optimization parameters of stamping process and optimize the forming quality. It was proved with an example of box-shaped deep drawing workpiece that the fitting accuracy of the non-linear function constructed by SVM with small samples of numerical simulation experiments has a better advantage over neural networks, which shows that SVM has better generalization performance. Then the SFS algorithm was applied to optimize the stamping process parameters based on the SVM model. And the process parameters after the optimization by SFS were validated by finite element simulation and verification that good forming quality can be obtained by this method, which suggested that this optimization method has higher precision and effectiveness, and provides a competitive project practical ability.
