Semi-supervised machine learning of optical in-situ monitoring data for anomaly detection in laser powder bed fusion

Laser powder bed fusion (L-PBF) is one of the most widely used metal additive manufacturing technology for fabrication of functional and structural components. However, inconsistency in quality and reliability of L-PBF products is still a significant barrier preventing it from wider adoption. Machin...

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Bibliographic Details
Main Authors: Nguyen, Ngoc Vu, Hum, Allen Jun Wee, Do, Truong, Tran, Tuan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/168586
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Institution: Nanyang Technological University
Language: English