Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …

Continuous cooling transformation (CCT) diagram is an important basis to make an optimal
heat treatment process of steels with a desired microstructure and properties. Therefore, it is …

Artificial neural network model is developed for the prediction of phase transformation of
steel from austenite, and thus construction of the continuous cooling transformation (CCT) …

Continuous cooling transformation (CCT) diagrams represent roadmaps for producing all
heat-treatable steels. CCT curves provide valuable information on the solid-state phase …

In this article, different machine learning (ML) algorithms are provided to predict the
transformation temperature of pearlite using relevant material descriptors, austenitizing …

New continuous cooling transformation (CCT) equations have been optimized to calculate
the start temperatures and critical cooling rates of phase formations during austenite …

Design and development of steel is essentially governed by the Time-Temperature-
Transformation (TTT) diagram. The diagram predicts the phase evolution during isothermal …

Phase transformations during continuous cooling play a vital role in controlling final
microstructure and mechanical properties of hot-rolled high-strength low-alloy (HSLA) …

Purpose The purpose of this paper is to incorporate prior knowledge in the artificial neural
network (ANN) model for the prediction of continuous cooling transformation (CCT) diagram …

The paper offers a detailed description of the application and significance of machine
learning methods during various processing stages of modern metallurgy. The relevance of …