Optimization of Forming Process for Sheet Metal Multi-objective Based on GS Theory and GA-BP Network
In sheet metal forming process,with being much greater volatility for the forming processing parameters,it is possible to arise the quality defects of parts.At present a robust optimization design method for sheet metal multi-objective forming was suggested based on the GS theory and GA-BP network.The automotive back rail was selected as an example,and seven factors affecting the forming quality and three goal evaluation functions were determined.The correlations of sample data were obtained by orthogonal test design combined with the FEM.Finally,the main influence factor BHF is found by range analysis of the correlations.The response surface composed of the BHF-μ from 350 kN to 450 kN is established by GA-BP network which is constructed by test data.At the same time,the optimal range of the BFH and the best combination of metal forming process parameters are selected.Applications prove that the method is effective for reliability design of sheet metal forming process.