Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions

Semi-supervised Monitoring of Laser powder bed fusion process based on acoustic emissions

Metal-based Laser Powder Bed Fusion (LPBF) suffers from a lack of repeatability and is challenging to model, making their quality monitoring essential and demanding. The reason lies in the high dynamics taking place during the interaction of the laser with metallic powders. To bring this technology...

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Bibliographic Details
Main Authors: Vigneashwara Pandiyan, Rita Drissi-Daoudi, Sergey Shevchik, Giulio Masinelli, Tri Le-Quang, Roland Logé, Kilian Wasmer
Format: Article
Language:English
Published: Taylor & Francis Group 2021-07-01
Series:Virtual and Physical Prototyping
Subjects:
laser powder bed fusion
monitoring
laser processing
convolutional neural network
acoustic emission
Online Access:http://dx.doi.org/10.1080/17452759.2021.1966166

Internet

http://dx.doi.org/10.1080/17452759.2021.1966166

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