Prediction of Material Flow Stress in Warm Forging with BP Neural Network

A BP neural network model used for predicting material flow stress in warming forging was set up on the base of dealing with the experimental data of 08F steel and 40Cr flow stress. Compared with the traditional regression method, the method of BP neural network does not need to analyse the complex relations between the temperature, strain rate, strain and the flow stress. By training many discrete samples, it can find out the potential relations between the temperature, strain rate, strain and the flow stress. The research result shows that the well trained BP neural network model can accurately describe the influence of the temperature, strain rate, strain on the flow stress, and as a result, it can predict the material flow stress at certain forming conditions precisely.