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