Robust Design Optimization For Stamping Based On Parametric And Metamodel Uncertainty

In sheet metal stamping process, material parameters and processing parameters are fluctuation. Currently, in robust design optimization, considering the impact of parameter uncertainty factors has become a heat topic in this field. However, the metamodel used in robustness optimization design is fitted with the true response value. Because the metamodel cannot accurately predict the true response state on the basis of the limited sample points, prediction error is inevitably. Ignoring this uncertainty will bring additional design errors that could cause failures of optimal solution. Therefore, comprehensive considering the parameter uncertainty and model uncertainty in robustness optimization design is necessary. On this basis, a new stamping robustness optimization design is established in this paper. The main work in this paper is conclued as follows:Firstly, based on traditional robustness optimization design, an robustness optimization design method is built in this paper. This method considers two uncertainty through comprehensive quantitative parameters and proxy model uncertainty, combined with six sigma quality management methods, and verified it by mathematical case.Secondly, the sheet metal stamping forming robustness design basic flow is summarized by analyzing the sheet metal stamping process parameters and material properties fluctuation. Besides, factors sensitivity analysis, stamping quality evaluation criteria, and optimization solutions stochastic analysis method are performed in this poaper.Finally, in the case of bumper beam, finite element model(FEM) based on the stamping method is constructed, and sensitive analysis of the FEM is accomplished. Through the analysis, design parameters and noise factors which are sensitive to quality objective are screened out in this paper. Besides, optimization design is conducted in this paper, by using both traditional robustness optimization method based on parameter uncertainty and robustness optimization method considered the two uncertainties. The analyzing and simulating results show that the robustness design comprehensive considering of two kinds of uncertainty factors effectively reduces the cracking and wrinkle failure probability, and improves the reliability of the forming quality in production.