Predicting laser powder bed fusion defects through in-process monitoring data and machine learning
Journal article, 2022
Defects
In-process monitoring
Machine learning
Powder bed fusion
Author
Shuo Feng
Cardiff University
Zhuoer Chen
Chalmers, Industrial and Materials Science, Materials and manufacture
Benjamin Bircher
Federal Institute of Metrology METAS
Ze Ji
Cardiff University
Lars Nyborg
Chalmers, Industrial and Materials Science, Materials and manufacture
Samuel Bigot
Cardiff University
Materials and Design
0264-1275 (ISSN) 1873-4197 (eISSN)
Vol. 222 111115Additive Manufacturing using Metal Pilot Line (MANUELA)
European Commission (EC) (EC/H2020/820774), 2018-10-01 -- 2022-09-30.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Other Engineering and Technologies not elsewhere specified
Computer Vision and Robotics (Autonomous Systems)
DOI
10.1016/j.matdes.2022.111115