中文摘要：

运用能量法,建立了板材拉深过程完整的力学模型。针对板材拉深成形中起皱和破裂的具体情况,定量分析了板材起皱和破裂的失稳判据。确定板材成形的压边力三极限,并推导出板材成形的优化压边力控制规律。运用神经网络实现了板材材料性能参数的实时识别和压边力优化曲线的实时预测。利用LabVIEW软件编译了智能控制系统程序,采用基于虚拟仪器技术和产品,建立板材智能化拉深控制系统,实现板材成形的智能化。

英文摘要：

From the energy method, the mechanical model of the metal sheet deep drawing is built. The analytical rules for the wrinkling and rupture in deep drawing are derived. The three deformation limits of binder hold force are determined and a control rule of binder hold force is derived. Two neural network models are introduced to realize real-time identification of sheet metal parameters and real-time prediction of optimum binder hold force. Finally, an intelligent control program is established for intelligent press forming of deep drawing of metal sheets.