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Abstract: In the four basic factors on the intellectuali zation 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 intelligence control. Taking the intelligence control of V-shape free
bending of wide sheet metal as an object of study ,a feed front neural
network model is used based on LM algorithm. By means of real-time
monitoring and measure to identify the material performance parameter
and predict the optimum technological parameter, and satisfied accuracy
of convergence is achieved . Within the sample database range,
generalization precisions of identification and prediction are within 5%
when convergence precision is within 0.1%.
Key words: V-shape free bending Intellectualization Neural network
Identification Prediction
CLC No: TP18
河北省自然科学基金资助项目(501215).
Received 20040714, received in revised form 20041122
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