Material Parameter Identification and Optimal Technological Parameter Prediction for Intelligent Control of Rectangular Box Drawing

In the four basic factors on the intellectualization of sheet metal forming, the real-time identification of the material performance parameter and the prediction of the optimum technological parameter are the two most complicated technical keys. The accuracy of identification and prediction will have direct effect on the success of the intelligent control. Taking the intelligent control of rectangular box as an object of study, feed forward neural network model based on LM algorithm has been established to realize material properties and friction coefficient for deep drawing of rectangular box. Satisfied accuracy of convergence has been achieved by means of real-time monitoring and measure to identify the material performance parameter and predict the optimum technological parameter.