Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing

• Main Authors: Sing, Swee Leong, Kuo, C. N., Shih, C. T., Ho, C. C., Chua, Chee Kai
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Mechanical engineering; Additive Manufacturing; Powder Bed Fusion
• Online Access: https://hdl.handle.net/10356/154116
• Institution: Nanyang Technological University

The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited despite the significant progress made in the development of the process chain. One of the key obstacles is the inconsistency of the parts obtained from L-PBF. Due to its complexity, there are many potential f...