中文摘要：

智能化拉深过程中压边力规律的实时预测是关键技术之一。选择非轴对称件中的锥壁盒形件为研究对象,通过数值模拟和试验对成形过程中压边力随凸模行程的变化规律进行研究,得到能够提高成形质量的较优压边力变化趋势,提出破裂临界压边力控制原理,并将前馈神经网络模型引入盒形件智能化拉深压边力控制规律的预测,预测结果与试验吻合较好,实现较优压边力规律的实时预测,为实现盒形件拉深成形过程的智能化控制奠定基础。

英文摘要：

The real-time prediction of BHF control law is a key technology in intelligent deep drawing.Non-axisymmetrical workpiece is studied such as rectangular box and as a result the optimized trend of variable blank holder force（BHF） is obtained which is called fracture critical BHF theory.In this work the result of numerical simulation and experiments are the evidence.The optimized control law of variable BHF is predicted by using feed-forward artificial neural network（ANN）,which is in good agreement with experimental results.This measure will ensure the intellectualized control for the whole process of deep drawing.