Anomaly detection in laser powder bed fusion using machine learning: A review

Anomaly detection in laser powder bed fusion using machine learning: A review

Metal Additive Manufacturing (MAM) applications are growing rapidly in high-tech industries such as biomedical and aerospace, and in many other industries including tooling, casting, automotive, oil and gas for production and prototyping. The onset of Laser Powder Bed Fusion (L-PBF) technology prove...

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Bibliographic Details
Main Authors: Tayyaba Sahar, Muhammad Rauf, Ahmar Murtaza, Lehar Asip Khan, Hasan Ayub, Syed Muslim Jameel, Inam Ul Ahad
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Results in Engineering
Subjects:
Metal additive manufacturing (MAM)
Laser powder bed fusion (L-PBF)
Machine learning (ML)
Process parameter optimization
Anomaly detection
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302200473X

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http://www.sciencedirect.com/science/article/pii/S259012302200473X

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