Progress and opportunities for machine learning in materials and processes of additive manufacturing

• Main Authors: Ng, Wei Long, Goh, Guo Liang, Goh, Guo Dong, Ten, Jason Jyi Sheuan, Yeong, Wai Yee
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; 3D printing; Machine learning
• Online Access: https://hdl.handle.net/10356/175825
• Institution: Nanyang Technological University

In recent years, there has been widespread adoption of machine learning (ML) technologies to unravel intricate relationships among diverse parameters in various additive manufacturing (AM) techniques. These ML models excel at recognizing complex patterns from extensive, well-curated datasets, the...