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

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

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...

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Bibliographic Details
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: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
3D printing
Machine learning
Online Access:https://hdl.handle.net/10356/175825

Internet

https://hdl.handle.net/10356/175825

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