Optimization strategies and statistical analysis for springback compensation in sheet metal forming

Geometrical in accuracies of sheet metal parts due to springback are one of the main sources of lack of dimensional accuracy. Therefore, when designing a process to obtain a piece,it is mandatory to take in to consideration its springback behaviour.This requires making adjustments to tool geometries or any process variable.These modifications, classified as springback compensation,include several strategies that may reduce the shape deviations between the target geometry and the actual result of the forming operation. Those strategies include the modification of tool geometries, the initial blank shape and/or the blank holder force. However, the number and complexity of this parameter set makes this task very material and time consuming. A solution can be obtained using numerical optimization approaches, Response Surface Methods (RSM) or ANOVA[1].Thus, in this paper,all strategies are applied to the springback compensation of a U- shaped rail, a well-known benchmark that shows large elastic deflections after the tool removing.The results are compared with the ones obtained by other authors