Application of Artificial Neural Network to the Prediction of Tensile Properties in High-Strength Low-Carbon Bainitic Steels

Application of Artificial Neural Network to the Prediction of Tensile Properties in High-Strength Low-Carbon Bainitic Steels

An artificial neural network (ANN) model was designed to predict the tensile properties in high-strength, low-carbon bainitic steels with a focus on the fraction of constituents such as PF (polygonal ferrite), AF (acicular ferrite), GB (granular bainite), and BF (bainitic ferrite). The input paramet...

Full description

Bibliographic Details
Main Authors: Sang-In Lee, Seung-Hyeok Shin, Byoungchul Hwang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Metals
Subjects:
artificial neural network
deformability
yield-to-tensile ratio
uniform elongation
bainitic steel
Online Access:https://www.mdpi.com/2075-4701/11/8/1314

Internet

https://www.mdpi.com/2075-4701/11/8/1314

Similar Items