关键词: 智能化拉深；盒形件；压边力规律；实时预测；人工神经网络

Abstract:

The real time prediction of BHF control law in intelligent deep drawing is a key technology.A non-axisymmetrical workpiece such as rectangular box was studied and as a result the topological structure of BHF prediction model in real time was showed by introducing ANN. In this way preparion of sample, accuracy of model convergence and accuracy of model generalization were studied. It is indicated when input samples are normalized, training method is regularized and the right numbers of samples and hidden nodes are set, the accuracy of generalized results can be within 10%. This measure will meet to the engineering applications.

Key words: intelligent deep drawing, rectangular box, law of blank holder force(BHF), prediction in real time, ANN