Wen-Tao Zhao

Integrating physical metallurgy principles and machine learning for predicting continuous cooling phase transformations in steel

This study presents a high-precision predictive model for continuous cooling transformation (CCT) behavior in steel by integrating physical metallurgy (PM) principles with machine learning (ML) methods. To enhance industrial applicability, thermal deformation parameters are incorporated alongside chemical composition a...