Prediction of Hot Ductility of Low-Carbon Steels Based on BP Network

The purpose of the research is to obtain an effective method to predict the hot ductility of low-carbon steels, which will be a reference to evaluate the crack sensitivity of steels. Several sub-networks modeled from BP network were constructed for different temperature use, and the measured reduction of area (A_R) of 12 kinds of low-carbon steels under the temperature of 600 to 1000 ℃ were processed as training samples. The result of software simulation shows that the model established is relatively effective for predicting the hot ductility of steels.