Real-Time Identification Of Matirial Parameters During Intellectural Control Of 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 V-free bending is an important research field of sheet-metal-forming intellectualization. The identification of material properties is one important part 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 by using the features and virtues of Artificial neural network (ANN) and fuzzy system. At the same time, this thesis realizes the real-time identification of material properties by using RBF neural network. This thesis establishes a fuzzy neural network model for identification of material properties during V-free bending intellectualization, obtains input data and determine input node using numerical simulation, makes the program of fuzzy neural model using MATLAB program language, integrates the intellectualization control system, and makes a study of the relative problems on the fuzzy neural and RBF model. The real-time identification of material is successful, which is shown by the experimental results of different sheet metals from intellectualized bending. In order to expand application scope, this thesis establishes RBF neural network. It lays foundation for further study of identification of material properties and it is significant for further study of sheet forming intellectualization.