Application of machine learning-based algorithms to predict the stress-strain curves of additively manufactured mild steel out of its microstructural characteristics

Application of machine learning-based algorithms to predict the stress-strain curves of additively manufactured mild steel out of its microstructural characteristics

The study presents a Machine Learning (ML)-based framework designed to forecast the stress-strain relationship of arc-direct energy deposited mild steel. Based on microstructural characteristics previously extracted using microscopy and X-ray diffraction, approximately 1000 new parameter sets are ge...

Full description

Bibliographic Details
Main Authors: Jorge Lizarazu, Ehsan Harirchian, Umar Arif Shaik, Mohammed Shareef, Annie Antoni-Zdziobek, Tom Lahmer
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
Arc-direct energy deposition
Mild steel
Dual phase steel
Machine learning
Stress-strain curve
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023007144

Internet

http://www.sciencedirect.com/science/article/pii/S2590123023007144

Similar Items