Review of machine learning applications in powder bed fusion technology for part production

• Main Authors: Huang, De Jun, Li, Hua
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Mechanical engineering::Prototyping; Machine Learning; Additive Manufacturing
• Online Access: https://hdl.handle.net/10356/88694; http://hdl.handle.net/10220/46003
• Institution: Nanyang Technological University

Additive manufacturing (AM) has become a viable option for production of industrial parts to meet the growing demands for customized components with complex geometry within a short lead time. Powder bed fusion (PBF) technology is often favored for its superior geometrical resolution and system st...