The Study Of Parameter Real-Time Identification And Prediction In The Intellectual Cap-Bending

The intellectualization of sheet metal forming is the process in which, through an organic combination of sheet metal forming theory with control theory and computer science, and based on the characteristics of the workpiece to be worked, the material properties are identified and the optimum technique parameters are predicted on-line by means of easily-monitored physical quantities and the forming is automated to those parameters thus determined.The intellectualization of cap-bending is an important research aspect of sheet-metal-forming intellectualization. The identification of material properties and the prediction of the optimum technique parameters are important parts of intellectualization. The precision and the time of identification will affect the realization of intellectualization directly. This thesis realizes the real-time identification of material properties and prediction of the optimum technique parameters by using the features and virtues of Artificial neural network (ANN). At the same time, this thesis realizes the real-time identification of material properties and prediction of the optimum technique parameters by using BP neural network.This thesis establishes a BP Neural network model for identification of material properties and prediction of the optimum technique parameters during cap-bending intellectualization, obtains input data and determine input node using numerical simulation and experimental methods, makes the program of BP Neural model using MATLAB program language, in the data range of numerical simulation and test, The convergence ratio of identification and prediction model are all 1% .The average prediction error of pressure-pad-force is 2.92%. Otherwise the effect rule of the sample data and node number of implication layer to the efficiency,precision,generalization ability of the network model is researched. The real-timeidentification of material and the real-time prediction of the optimum technique parameters are successful, which are shown by the experimental results of different sheet metals from intelligent bending, and it is significant for further study of the cap-bending in sheet forming intelligent control.