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Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging
Selective laser melting (SLM) additive manufacturing (AM) exhibits uncertainties, where variations in build quality are present despite utilizing the same optimized processing parameters. In this work, we identify the sources of uncertainty in SLM process by in-situ characterization of SLM dynamics...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779089/ https://www.ncbi.nlm.nih.gov/pubmed/35057247 http://dx.doi.org/10.3390/ma15020530 |
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author | Young, Zachary A. Coday, Meelap M. Guo, Qilin Qu, Minglei Hojjatzadeh, S. Mohammad H. Escano, Luis I. Fezzaa, Kamel Sun, Tao Chen, Lianyi |
author_facet | Young, Zachary A. Coday, Meelap M. Guo, Qilin Qu, Minglei Hojjatzadeh, S. Mohammad H. Escano, Luis I. Fezzaa, Kamel Sun, Tao Chen, Lianyi |
author_sort | Young, Zachary A. |
collection | PubMed |
description | Selective laser melting (SLM) additive manufacturing (AM) exhibits uncertainties, where variations in build quality are present despite utilizing the same optimized processing parameters. In this work, we identify the sources of uncertainty in SLM process by in-situ characterization of SLM dynamics induced by small variations in processing parameters. We show that variations in the laser beam size, laser power, laser scan speed, and powder layer thickness result in significant variations in the depression zone, melt pool, and spatter behavior. On average, a small deviation of only ~5% from the optimized/reference laser processing parameter resulted in a ~10% or greater change in the depression zone and melt pool geometries. For spatter dynamics, small variation (10 [Formula: see text] , 11%) of the laser beam size could lead to over 40% change in the overall volume of the spatter generated. The responses of the SLM dynamics to small variations of processing parameters revealed in this work are useful for understanding the process uncertainties in the SLM process. |
format | Online Article Text |
id | pubmed-8779089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87790892022-01-22 Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging Young, Zachary A. Coday, Meelap M. Guo, Qilin Qu, Minglei Hojjatzadeh, S. Mohammad H. Escano, Luis I. Fezzaa, Kamel Sun, Tao Chen, Lianyi Materials (Basel) Article Selective laser melting (SLM) additive manufacturing (AM) exhibits uncertainties, where variations in build quality are present despite utilizing the same optimized processing parameters. In this work, we identify the sources of uncertainty in SLM process by in-situ characterization of SLM dynamics induced by small variations in processing parameters. We show that variations in the laser beam size, laser power, laser scan speed, and powder layer thickness result in significant variations in the depression zone, melt pool, and spatter behavior. On average, a small deviation of only ~5% from the optimized/reference laser processing parameter resulted in a ~10% or greater change in the depression zone and melt pool geometries. For spatter dynamics, small variation (10 [Formula: see text] , 11%) of the laser beam size could lead to over 40% change in the overall volume of the spatter generated. The responses of the SLM dynamics to small variations of processing parameters revealed in this work are useful for understanding the process uncertainties in the SLM process. MDPI 2022-01-11 /pmc/articles/PMC8779089/ /pubmed/35057247 http://dx.doi.org/10.3390/ma15020530 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Young, Zachary A. Coday, Meelap M. Guo, Qilin Qu, Minglei Hojjatzadeh, S. Mohammad H. Escano, Luis I. Fezzaa, Kamel Sun, Tao Chen, Lianyi Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging |
title | Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging |
title_full | Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging |
title_fullStr | Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging |
title_full_unstemmed | Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging |
title_short | Uncertainties Induced by Processing Parameter Variation in Selective Laser Melting of Ti6Al4V Revealed by In-Situ X-ray Imaging |
title_sort | uncertainties induced by processing parameter variation in selective laser melting of ti6al4v revealed by in-situ x-ray imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779089/ https://www.ncbi.nlm.nih.gov/pubmed/35057247 http://dx.doi.org/10.3390/ma15020530 |
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