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

• Published in: Results in engineering Vol. 20; p. 101587
• Main Authors: Lizarazu, Jorge, Harirchian, Ehsan, Shaik, Umar Arif, Shareef, Mohammed, Antoni-Zdziobek, Annie, Lahmer, Tom
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2023; Elsevier
• Subjects: Arc-direct energy deposition; Dual phase steel; Engineering Sciences; Machine learning; Materials; Mild steel; Stress-strain curve; Mild steel; Arc-direct energy deposition; Dual phase steel; Arc-direct energy deposition Mild steel Dual phase steel Machine learning Stress-strain curve; Machine learning; Stress-strain curve

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...