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[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 …
Сачувај Цитирај 45 пута наведен Сродни чланци Све верзије (3)
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[PDF] hal.science

A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management

Y Zhang, M Safdar, J ** in metal manufacturing industries. However, as an anisotropic and defect-prone …
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[PDF] springer.com

Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing

B Uhrich, N Pfeifer, M Schäfer, O Theile, E Rahm - Applied Intelligence, 2024 - Springer
In 3D printing processes, there are many thermal stress related defects that can have a
significant negative impact on the shape and size of the structure. Such anomalies in the …
Сачувај Цитирај 6 пута наведен Сродни чланци Све верзије (4)