ANN-BASED REAL-TIME IDENTIFICATION OF MATERIAL PROPERTIES AND FRICTION COEFFICIENT

In order to avoid defects in intelligent control of sheet metal deep drawing,the control technological parameter should be changed adaptively,which can be predicted from material properties and friction coefficient.An artificial neural network model for identification of material properties and friction coefficient is established according to deep drawing characteristics and more automation requirements.Real\|time identification of material properties and friction coefficient is realized with neural network,which is a new tool to process information. It lays basis of intellectualization in sheet metal deep drawing.