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Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation
Laser powder bed fusion (LPBF) can produce high‐value metallic components for many industries; however, its adoption for safety‐critical applications is hampered by the presence of imperfections. The interdependency between imperfections and processing parameters remains unclear. Here, the evolution...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798986/ https://www.ncbi.nlm.nih.gov/pubmed/36316220 http://dx.doi.org/10.1002/advs.202203546 |
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author | Leung, Chu Lun Alex Luczyniec, Dawid Guo, Enyu Marussi, Sebastian Atwood, Robert C. Meisnar, Martina Saunders, Ben Lee, Peter D. |
author_facet | Leung, Chu Lun Alex Luczyniec, Dawid Guo, Enyu Marussi, Sebastian Atwood, Robert C. Meisnar, Martina Saunders, Ben Lee, Peter D. |
author_sort | Leung, Chu Lun Alex |
collection | PubMed |
description | Laser powder bed fusion (LPBF) can produce high‐value metallic components for many industries; however, its adoption for safety‐critical applications is hampered by the presence of imperfections. The interdependency between imperfections and processing parameters remains unclear. Here, the evolution of porosity and humps during LPBF using X‐ray and electron imaging, and a high‐fidelity multiphase process simulation, is quantified. The pore and keyhole formation mechanisms are driven by the mixing of high temperatures and high metal vapor concentrations in the keyhole is revealed. The irregular pores are formed via keyhole collapse, pore coalescence, and then pore entrapment by the solidification front. The mixing of the fast‐moving vapor plume and molten pool induces a Kelvin–Helmholtz instability at the melt track surface, forming humps. X‐ray imaging and a high‐fidelity model are used to quantify the pore evolution kinetics, pore size distribution, waviness, surface roughness, and melt volume under single layer conditions. This work provides insights on key criteria that govern the formation of imperfections in LPBF and suggest ways to improve process reliability. |
format | Online Article Text |
id | pubmed-9798986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97989862023-01-05 Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation Leung, Chu Lun Alex Luczyniec, Dawid Guo, Enyu Marussi, Sebastian Atwood, Robert C. Meisnar, Martina Saunders, Ben Lee, Peter D. Adv Sci (Weinh) Research Articles Laser powder bed fusion (LPBF) can produce high‐value metallic components for many industries; however, its adoption for safety‐critical applications is hampered by the presence of imperfections. The interdependency between imperfections and processing parameters remains unclear. Here, the evolution of porosity and humps during LPBF using X‐ray and electron imaging, and a high‐fidelity multiphase process simulation, is quantified. The pore and keyhole formation mechanisms are driven by the mixing of high temperatures and high metal vapor concentrations in the keyhole is revealed. The irregular pores are formed via keyhole collapse, pore coalescence, and then pore entrapment by the solidification front. The mixing of the fast‐moving vapor plume and molten pool induces a Kelvin–Helmholtz instability at the melt track surface, forming humps. X‐ray imaging and a high‐fidelity model are used to quantify the pore evolution kinetics, pore size distribution, waviness, surface roughness, and melt volume under single layer conditions. This work provides insights on key criteria that govern the formation of imperfections in LPBF and suggest ways to improve process reliability. John Wiley and Sons Inc. 2022-10-31 /pmc/articles/PMC9798986/ /pubmed/36316220 http://dx.doi.org/10.1002/advs.202203546 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Leung, Chu Lun Alex Luczyniec, Dawid Guo, Enyu Marussi, Sebastian Atwood, Robert C. Meisnar, Martina Saunders, Ben Lee, Peter D. Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation |
title | Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation |
title_full | Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation |
title_fullStr | Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation |
title_full_unstemmed | Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation |
title_short | Quantification of Interdependent Dynamics during Laser Additive Manufacturing Using X‐Ray Imaging Informed Multi‐Physics and Multiphase Simulation |
title_sort | quantification of interdependent dynamics during laser additive manufacturing using x‐ray imaging informed multi‐physics and multiphase simulation |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798986/ https://www.ncbi.nlm.nih.gov/pubmed/36316220 http://dx.doi.org/10.1002/advs.202203546 |
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