Journal article 1035 views 668 downloads
The influence of key process parameters on melt pool geometry in direct energy deposition additive manufacturing systems
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Mark Sutcliffe,
David Carswell,
Carl Hauser,
Josh Barras
Optics & Laser Technology, Volume: 134, Start page: 106609
Swansea University Author:
Robert Lancaster
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PDF | Accepted Manuscript
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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DOI (Published version): 10.1016/j.optlastec.2020.106609
Abstract
The measurement of melt pool width has proven to be critical in the development of advanced control systems, defect detection algorithms and understanding the influence of parameter changes on build quality in additive manufacturing processes. Parametric studies are performed on new materials and bu...
| Published in: | Optics & Laser Technology |
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| ISSN: | 0030-3992 |
| Published: |
Elsevier BV
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa55172 |
| Abstract: |
The measurement of melt pool width has proven to be critical in the development of advanced control systems, defect detection algorithms and understanding the influence of parameter changes on build quality in additive manufacturing processes. Parametric studies are performed on new materials and builds to help identify optimal parameter settings for final components. Many parametric iterations are often required to produce optimal components, which requires in-depth process/material knowledge from highly skilled engineers. Having fundamental knowledge of parametric interaction and melt pool mechanics is key in developing state of the art additive manufacturing components. This paper addresses the need for complex parametric interaction understanding in additive manufacturing processes by providing a detailed parametric study using directional emittance melt pool edge detection techniques. |
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| Keywords: |
Melt pool, Melt pool monitoring, Additive manufacturing, Direct energy deposition, Process parameters |
| College: |
Faculty of Science and Engineering |
| Start Page: |
106609 |