Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing

Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing

Finding actionable trends in laser-based metal additive manufacturing process monitoring data is challenging owing to the diversity and complexity of the underlying physical interactions. A single monitoring solution that captures a particular process phenomenon, such as a photodiode that tracks mel...

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Bibliographic Details
Main Authors: Aniruddha Gaikwad, Richard J. Williams, Harry de Winton, Benjamin D. Bevans, Ziyad Smoqi, Prahalada Rao, Paul A. Hooper
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Materials & Design
Subjects:
Laser powder bed fusion
Laser defocus
Thermal lensing
Porosity
High-speed melt pool imaging
Spatter
Online Access:http://www.sciencedirect.com/science/article/pii/S026412752200541X

Internet

http://www.sciencedirect.com/science/article/pii/S026412752200541X

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