Springback control of sheet metal forming based on FEA and multi-objective genetic algorithm

摘要

In this paper, an automated optimization method by the integration of finite element analysis and optimization algorithm was presented to control springback of stamping parts. In order to minimize both objective functions of springback and thickness deformation simultaneously, multi-objective genetic algorithm was applied to find all the optimal solutions at one run instead of transforming multi-objective functions into a single objective function. Furthermore, response surface model was employed to be a fast analysis tool to surrogate the time-consuming FEA procedure in the iterations of multi-objective genetic algorithm. An example was studied to illustrate the application of the approach proposed, and the authors came to the conclusion that the proposed method is more efficient than traditional manual FEA procedure and the ‘trial and error' approach for springback controlling.