A semi-supervised machine learning approach for in-process monitoring of laser powder bed fusion

A semi-supervised machine learning approach for in-process monitoring of laser powder bed fusion

Laser powder bed fusion (L-PBF), despite the tremendous potential in metal additive manufacturing, is still facing a significant barrier toward wider adoption due to the current lack of quality assurance. Notable efforts aiming at effective quality control of L-PBF products rely on using machine lea...

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Bibliographic Details
Main Authors: Nguyen, Ngoc Vu, Hum, Allen Jun Wee, Tran, Tuan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Mechanical engineering
Machine Learning
Additive Manufacturing
Online Access:https://hdl.handle.net/10356/164765

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