Page 95 - ESAM-1-1

Engineering Science in
Additive Manufacturing ML in additive manufacturing

Appendix A: (Continued)
Review title
Year 2020
Invited review: Machine learning for materials developments in metals additive manufacturing
Machine learning in additive manufacturing: State-of-the-art and perspectives
Machine Learning for Advanced Additive Manufacturing
Wire and arc additive manufacturing of metal components: a review of recent research developments
Machine learning enabled advanced manufacturing in nuclear engineering applications
Smart additive manufacturing: Current artificial intelligence-enabled methods and future perspectives
Deep learning for fabrication and maturation of 3D bio-printed tissues and organs
Path planning strategies to optimize accuracy, quality, build time and material use in additive manufacturing: A review
Machine Learning in Additive Manufacturing: A Review
Trends in 3D Printing Processes for Biomedical Field: Opportunities and Challenges
A review on machine learning in 3D printing: applications, potential, and challenges
A Perspective on Using Machine Learning in 3D Bioprinting
Year 2019
Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
Year 2018
Computational intelligence for smart laser materials processing
The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning

Volume 1 Issue 1 (2025) 28 doi: 10.36922/ESAM025040004