Defects and anomalies in powder bed fusion metal additive manufacturing

A Mostafaei, C Zhao, Y He, SR Ghiaasiaan… - Current Opinion in Solid …, 2022‏ - Elsevier
Metal additive manufacturing is a disruptive technology that is revolutionizing the
manufacturing industry. Despite its unrivaled capability for directly fabricating metal parts …

[HTML][HTML] Research and application of machine learning for additive manufacturing

J Qin, F Hu, Y Liu, P Witherell, CCL Wang… - Additive …, 2022‏ - Elsevier
Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L **, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024‏ - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Machine learning in additive manufacturing: State-of-the-art and perspectives

C Wang, XP Tan, SB Tor, CS Lim - Additive Manufacturing, 2020‏ - Elsevier
Additive manufacturing (AM) has emerged as a disruptive digital manufacturing technology.
However, its broad adoption in industry is still hindered by high entry barriers of design for …

A review on machine learning in 3D printing: applications, potential, and challenges

GD Goh, SL Sing, WY Yeong - Artificial Intelligence Review, 2021‏ - Springer
Additive manufacturing (AM) or 3D printing is growing rapidly in the manufacturing industry
and has gained a lot of attention from various fields owing to its ability to fabricate parts with …

[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

R McCann, MA Obeidi, C Hughes, É McCarthy… - Additive …, 2021‏ - Elsevier
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …

Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review

Y Fu, ARJ Downey, L Yuan, T Zhang, A Pratt… - Journal of Manufacturing …, 2022‏ - Elsevier
Laser-based additive manufacturing (LBAM), a series of additive manufacturing
technologies, has unrivaled advantages due to its design freedom to manufacture complex …

A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system

C **a, Z Pan, J Polden, H Li, Y Xu, S Chen… - Journal of manufacturing …, 2020‏ - Elsevier
Wire arc additive manufacturing technology (WAAM) has become a very promising
alternative to high-value large metal components in many manufacturing industries. Due to …

Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm

S Guo, M Agarwal, C Cooper, Q Tian, RX Gao… - Journal of Manufacturing …, 2022‏ - Elsevier
Abstract Machine learning (ML) has shown to be an effective alternative to physical models
for quality prediction and process optimization of metal additive manufacturing (AM) …

Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control

S Kumar, T Gopi, N Harikeerthana, MK Gupta… - Journal of Intelligent …, 2023‏ - Springer
For several industries, the traditional manufacturing processes are time-consuming and
uneconomical due to the absence of the right tool to produce the products. In a couple of …