Prediction of metadynamic softening in a multi-pass hot deformed low alloy steel using artificial neural network

Prediction of static recrystallization i

Prediction of static recrystallization in a multi-pass hot deformed low-alloy steel using artificial neural network

✍ Y.C. Lin; Ge Liu; Ming-Song Chen; Jue Zhong 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 579 KB

The static recrystallization behaviors in 42CrMo steel were investigated by isothermal interrupted hot compression tests. Based on the experimental results, an efficient artificial neural network (ANN) model was developed to predict the flow stress and static recrystallized fractions. The effects of