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Additive manufacturing of alloys with programmable microstructure and properties
In metallurgy, mechanical deformation is essential to engineer the microstructure of metals and to tailor their mechanical properties. However, this practice is inapplicable to near-net-shape metal parts produced by additive manufacturing (AM), since it would irremediably compromise their carefully...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616214/ https://www.ncbi.nlm.nih.gov/pubmed/37903769 http://dx.doi.org/10.1038/s41467-023-42326-y |
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author | Gao, Shubo Li, Zhi Van Petegem, Steven Ge, Junyu Goel, Sneha Vas, Joseph Vimal Luzin, Vladimir Hu, Zhiheng Seet, Hang Li Sanchez, Dario Ferreira Van Swygenhoven, Helena Gao, Huajian Seita, Matteo |
author_facet | Gao, Shubo Li, Zhi Van Petegem, Steven Ge, Junyu Goel, Sneha Vas, Joseph Vimal Luzin, Vladimir Hu, Zhiheng Seet, Hang Li Sanchez, Dario Ferreira Van Swygenhoven, Helena Gao, Huajian Seita, Matteo |
author_sort | Gao, Shubo |
collection | PubMed |
description | In metallurgy, mechanical deformation is essential to engineer the microstructure of metals and to tailor their mechanical properties. However, this practice is inapplicable to near-net-shape metal parts produced by additive manufacturing (AM), since it would irremediably compromise their carefully designed geometries. In this work, we show how to circumvent this limitation by controlling the dislocation density and thermal stability of a steel alloy produced by laser powder bed fusion (LPBF) technology. We show that by manipulating the alloy’s solidification structure, we can ‘program’ recrystallization upon heat treatment without using mechanical deformation. When employed site-specifically, our strategy enables designing and creating complex microstructure architectures that combine recrystallized and non-recrystallized regions with different microstructural features and properties. We show how this heterogeneity may be conducive to materials with superior performance compared to those with monolithic microstructure. Our work inspires the design of high-performance metal parts with artificially engineered microstructures by AM. |
format | Online Article Text |
id | pubmed-10616214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106162142023-11-01 Additive manufacturing of alloys with programmable microstructure and properties Gao, Shubo Li, Zhi Van Petegem, Steven Ge, Junyu Goel, Sneha Vas, Joseph Vimal Luzin, Vladimir Hu, Zhiheng Seet, Hang Li Sanchez, Dario Ferreira Van Swygenhoven, Helena Gao, Huajian Seita, Matteo Nat Commun Article In metallurgy, mechanical deformation is essential to engineer the microstructure of metals and to tailor their mechanical properties. However, this practice is inapplicable to near-net-shape metal parts produced by additive manufacturing (AM), since it would irremediably compromise their carefully designed geometries. In this work, we show how to circumvent this limitation by controlling the dislocation density and thermal stability of a steel alloy produced by laser powder bed fusion (LPBF) technology. We show that by manipulating the alloy’s solidification structure, we can ‘program’ recrystallization upon heat treatment without using mechanical deformation. When employed site-specifically, our strategy enables designing and creating complex microstructure architectures that combine recrystallized and non-recrystallized regions with different microstructural features and properties. We show how this heterogeneity may be conducive to materials with superior performance compared to those with monolithic microstructure. Our work inspires the design of high-performance metal parts with artificially engineered microstructures by AM. Nature Publishing Group UK 2023-10-30 /pmc/articles/PMC10616214/ /pubmed/37903769 http://dx.doi.org/10.1038/s41467-023-42326-y Text en © The Author(s) 2023 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 Gao, Shubo Li, Zhi Van Petegem, Steven Ge, Junyu Goel, Sneha Vas, Joseph Vimal Luzin, Vladimir Hu, Zhiheng Seet, Hang Li Sanchez, Dario Ferreira Van Swygenhoven, Helena Gao, Huajian Seita, Matteo Additive manufacturing of alloys with programmable microstructure and properties |
title | Additive manufacturing of alloys with programmable microstructure and properties |
title_full | Additive manufacturing of alloys with programmable microstructure and properties |
title_fullStr | Additive manufacturing of alloys with programmable microstructure and properties |
title_full_unstemmed | Additive manufacturing of alloys with programmable microstructure and properties |
title_short | Additive manufacturing of alloys with programmable microstructure and properties |
title_sort | additive manufacturing of alloys with programmable microstructure and properties |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616214/ https://www.ncbi.nlm.nih.gov/pubmed/37903769 http://dx.doi.org/10.1038/s41467-023-42326-y |
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