Prediction of the main degradation mechanisms in a hot forging steel die: Optical scanning, simulation, microstructural evolution, and neural network modeling

• Published in: Journal of materials research and technology Vol. 37; pp. 432 - 443
• Main Authors: Emamverdian, Aliakbar, Pruncu, Catalin, Liu, Hongsheng, Rahimzadeh, Atabak, Lamberti, Luciano
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2025; Elsevier
• Subjects: Artificial neural network; Degeneration/failure mechanisms; Hot forging process; Microstructure analysis; Optical scanning; Tool service life; Hot forging process; Optical scanning; Microstructure analysis; Artificial neural network; Tool service life; Degeneration/failure mechanisms

This paper presents a framework for assessing degradation mechanisms and life service of an H21 (ISO-EN X30WCrV9-3; 3Cr2W8V Chinese standard) carbon steel die for hot forging. Four main failure mechanisms are considered: abrasive wear, thermal cracking, plastic deformation, and mechanical cracking....