High cycle fatigue life prediction of laser additive manufactured stainless steel : a machine learning approach

• Main Authors: Zhang, Meng, Sun, Chen-Nan, Zhang, Xiang, Goh, Phoi Chin, Wei, Jun, Hardacre, David, Li, Hua
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Mechanical engineering; Fatigue; Additive Manufacturing
• Online Access: https://hdl.handle.net/10356/140927
• Institution: Nanyang Technological University

Variations in the high cycle fatigue response of laser powder bed fusion materials can be caused by the choice of processing and post-processing strategies. The numerous influencing factors arising from the process demand an effective and unified approach to fatigue property assessment. This work ex...