基于遗传算法的变压边力模型及其在回弹控制中的应用

A Variable Blankholder Force Model Based on Genetic Algorithm and Its Application in Springback Analysis

为尽可能地减少回弹对冲压件质量的影响,采用Hughes和Liu提出的适用于非线性的二维壳单元来开发冲压和回弹的计算程序.在准确预测回弹量的前提下,提出了一种基于遗传算法的变压边力模型用于回弹控制.与常压边力模型相比,回弹得到很好控制,能够得到更好的成型结果.

To maximally decrease the effect of the springback on sheet stamping, a computation program for sheet stamping and the springback was developed by adopting the 2D-shell element put forward by Hughes and Liu, which is fit for nonlinear problems. Based on the accurate prediction of the springback, a variable blankholder force model based on the genetic algorithm (GA) was proposed to control the springback. Compared with the constant blankholder force model, the springback was in better control, and better forming results were obtained.