Intelligent Control Technology for the Deep Drawing of Sheet Metal
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Graphical Abstract
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Abstract
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.
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