铝合金半球形件拉深的变压边力优化研究

Research on VBHF Optimization of Aluminum Alloy Hemispherical part

为获得铝合金半球形件的优化压边力,提出了成形结果的综合评价标准用于不同变压边力曲线模拟实验的评价,以正交实验法设计模拟试验获得样本,建立了预测不同压边力曲线下成形结果的神经网络模型。在精度可靠的神经网络基础上,运用遗传算法优化压边力,获得了先增后减的"最优"压边力曲线。

To get an optimized VBHF（Variable Blank Holder Force） curve for aluminum alloy hemispheric part, the paper proposed a standard to evaluate the forming in the VBHF simulation experiments; in the experiments, the samples were taken by the orthogonal plan method to set up the neural network model for the forming prediction. The paper pointed out the BHF optimization is available with the genetic algorithm on the basis of the neural network.