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Progress in Additive Manufacturing
Published in: Progress in Additive Manufacturing 4/2019

23-08-2019 | Full Research Article

Statistical analysis of spatter velocity with high-speed stereovision in laser powder bed fusion

Authors: Christopher Barrett, Carolyn Carradero, Evan Harris, Kirk Rogers, Eric MacDonald, Brett Conner

Published in: Progress in Additive Manufacturing | Issue 4/2019

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Abstract

As unprecedented design freedom is realized through additive manufacturing and simultaneously as the diversity of materials improves to include high-performance metals, aerospace and biomedical applications demand improved quality control measures. In the context of additive manufacturing, new opportunities for in situ monitoring are now possible with a qualify-as-you-go layer-by-layer methodology. In this study, a pair of low-cost, high-speed cameras recording the selective laser melting of maraging steel was synchronized to measure stereoscopic features of the resulting spatter. Through epipolar geometry, accurate measurements were calculated of the age, speed and direction of thousands of spatter events. Statistical analysis was performed focusing on spatter velocity with the driving hypothesis that velocity can be correlated to the weld quality and eventually leveraged in real-time process control. Opportunities, future work, and challenges are discussed.
previous article In-process closed-loop control for stabilising the melt pool temperature in selective laser melting
next article The validation of the microstructural evolution of selective laser-melted AlSi10Mg on the in-house built machine: energy density studies

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Appendix
Available only for authorised users
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Metadata
Title
Statistical analysis of spatter velocity with high-speed stereovision in laser powder bed fusion
Authors
Christopher Barrett
Carolyn Carradero
Evan Harris
Kirk Rogers
Eric MacDonald
Brett Conner
Publication date
23-08-2019
Publisher
Springer International Publishing
Published in
Progress in Additive Manufacturing / Issue 4/2019
Print ISSN: 2363-9512
Electronic ISSN: 2363-9520
DOI
https://doi.org/10.1007/s40964-019-00094-6

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