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Controlling process instability for defect lean metal additive manufacturing
The process instabilities intrinsic to the localized laser-powder bed interaction cause the formation of various defects in laser powder bed fusion (LPBF) additive manufacturing process. Particularly, the stochastic formation of large spatters leads to unpredictable defects in the as-printed parts....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885710/ https://www.ncbi.nlm.nih.gov/pubmed/35228541 http://dx.doi.org/10.1038/s41467-022-28649-2 |
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author | Qu, Minglei Guo, Qilin Escano, Luis I. Nabaa, Ali Hojjatzadeh, S. Mohammad H. Young, Zachary A. Chen, Lianyi |
author_facet | Qu, Minglei Guo, Qilin Escano, Luis I. Nabaa, Ali Hojjatzadeh, S. Mohammad H. Young, Zachary A. Chen, Lianyi |
author_sort | Qu, Minglei |
collection | PubMed |
description | The process instabilities intrinsic to the localized laser-powder bed interaction cause the formation of various defects in laser powder bed fusion (LPBF) additive manufacturing process. Particularly, the stochastic formation of large spatters leads to unpredictable defects in the as-printed parts. Here we report the elimination of large spatters through controlling laser-powder bed interaction instabilities by using nanoparticles. The elimination of large spatters results in 3D printing of defect lean sample with good consistency and enhanced properties. We reveal that two mechanisms work synergistically to eliminate all types of large spatters: (1) nanoparticle-enabled control of molten pool fluctuation eliminates the liquid breakup induced large spatters; (2) nanoparticle-enabled control of the liquid droplet coalescence eliminates liquid droplet colliding induced large spatters. The nanoparticle-enabled simultaneous stabilization of molten pool fluctuation and prevention of liquid droplet coalescence discovered here provide a potential way to achieve defect lean metal additive manufacturing. |
format | Online Article Text |
id | pubmed-8885710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88857102022-03-17 Controlling process instability for defect lean metal additive manufacturing Qu, Minglei Guo, Qilin Escano, Luis I. Nabaa, Ali Hojjatzadeh, S. Mohammad H. Young, Zachary A. Chen, Lianyi Nat Commun Article The process instabilities intrinsic to the localized laser-powder bed interaction cause the formation of various defects in laser powder bed fusion (LPBF) additive manufacturing process. Particularly, the stochastic formation of large spatters leads to unpredictable defects in the as-printed parts. Here we report the elimination of large spatters through controlling laser-powder bed interaction instabilities by using nanoparticles. The elimination of large spatters results in 3D printing of defect lean sample with good consistency and enhanced properties. We reveal that two mechanisms work synergistically to eliminate all types of large spatters: (1) nanoparticle-enabled control of molten pool fluctuation eliminates the liquid breakup induced large spatters; (2) nanoparticle-enabled control of the liquid droplet coalescence eliminates liquid droplet colliding induced large spatters. The nanoparticle-enabled simultaneous stabilization of molten pool fluctuation and prevention of liquid droplet coalescence discovered here provide a potential way to achieve defect lean metal additive manufacturing. Nature Publishing Group UK 2022-02-28 /pmc/articles/PMC8885710/ /pubmed/35228541 http://dx.doi.org/10.1038/s41467-022-28649-2 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Qu, Minglei Guo, Qilin Escano, Luis I. Nabaa, Ali Hojjatzadeh, S. Mohammad H. Young, Zachary A. Chen, Lianyi Controlling process instability for defect lean metal additive manufacturing |
title | Controlling process instability for defect lean metal additive manufacturing |
title_full | Controlling process instability for defect lean metal additive manufacturing |
title_fullStr | Controlling process instability for defect lean metal additive manufacturing |
title_full_unstemmed | Controlling process instability for defect lean metal additive manufacturing |
title_short | Controlling process instability for defect lean metal additive manufacturing |
title_sort | controlling process instability for defect lean metal additive manufacturing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885710/ https://www.ncbi.nlm.nih.gov/pubmed/35228541 http://dx.doi.org/10.1038/s41467-022-28649-2 |
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