Predictive models for fatigue property of laser powder bed fusion stainless steel 316L

• Main Authors: Zhang, Meng, Sun, Chen-Nan, Zhang, Xiang, 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; Porosity
• Online Access: https://hdl.handle.net/10356/142403
• Institution: Nanyang Technological University

The selection of appropriate processing parameters is crucial for producing parts with target properties via the laser powder bed fusion (L-PBF) process. In this work, the fatigue properties of L-PBF stainless steel 316L under controlled changes in laser power and scan speed were studied by employin...