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Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects
The exceptional mechanical strength of medium/high-entropy alloys has been attributed to hardening in random solid solutions. Here, we evidence non-random chemical mixing in a CrCoNi alloy, resulting from short-range ordering. A data-mining approach of electron nanodiffraction enabled the study, whi...
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/PMC9636235/ https://www.ncbi.nlm.nih.gov/pubmed/36333312 http://dx.doi.org/10.1038/s41467-022-34335-0 |
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author | Hsiao, Haw-Wen Feng, Rui Ni, Haoyang An, Ke Poplawsky, Jonathan D. Liaw, Peter K. Zuo, Jian-Min |
author_facet | Hsiao, Haw-Wen Feng, Rui Ni, Haoyang An, Ke Poplawsky, Jonathan D. Liaw, Peter K. Zuo, Jian-Min |
author_sort | Hsiao, Haw-Wen |
collection | PubMed |
description | The exceptional mechanical strength of medium/high-entropy alloys has been attributed to hardening in random solid solutions. Here, we evidence non-random chemical mixing in a CrCoNi alloy, resulting from short-range ordering. A data-mining approach of electron nanodiffraction enabled the study, which is assisted by neutron scattering, atom probe tomography, and diffraction simulation using first-principles theory models. Two samples, one homogenized and one heat-treated, are observed. In both samples, results reveal two types of short-range-order inside nanoclusters that minimize the Cr–Cr nearest neighbors (L1(2)) or segregate Cr on alternating close-packed planes (L1(1)). The L1(1) is predominant in the homogenized sample, while the L1(2) formation is promoted by heat-treatment, with the latter being accompanied by a dramatic change in dislocation-slip behavior. These findings uncover short-range order and the resulted chemical heterogeneities behind the mechanical strength in CrCoNi, providing general opportunities for atomistic-structure study in concentrated alloys for the design of strong and ductile materials. |
format | Online Article Text |
id | pubmed-9636235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96362352022-11-06 Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects Hsiao, Haw-Wen Feng, Rui Ni, Haoyang An, Ke Poplawsky, Jonathan D. Liaw, Peter K. Zuo, Jian-Min Nat Commun Article The exceptional mechanical strength of medium/high-entropy alloys has been attributed to hardening in random solid solutions. Here, we evidence non-random chemical mixing in a CrCoNi alloy, resulting from short-range ordering. A data-mining approach of electron nanodiffraction enabled the study, which is assisted by neutron scattering, atom probe tomography, and diffraction simulation using first-principles theory models. Two samples, one homogenized and one heat-treated, are observed. In both samples, results reveal two types of short-range-order inside nanoclusters that minimize the Cr–Cr nearest neighbors (L1(2)) or segregate Cr on alternating close-packed planes (L1(1)). The L1(1) is predominant in the homogenized sample, while the L1(2) formation is promoted by heat-treatment, with the latter being accompanied by a dramatic change in dislocation-slip behavior. These findings uncover short-range order and the resulted chemical heterogeneities behind the mechanical strength in CrCoNi, providing general opportunities for atomistic-structure study in concentrated alloys for the design of strong and ductile materials. Nature Publishing Group UK 2022-11-04 /pmc/articles/PMC9636235/ /pubmed/36333312 http://dx.doi.org/10.1038/s41467-022-34335-0 Text en © The Author(s) 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 Hsiao, Haw-Wen Feng, Rui Ni, Haoyang An, Ke Poplawsky, Jonathan D. Liaw, Peter K. Zuo, Jian-Min Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects |
title | Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects |
title_full | Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects |
title_fullStr | Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects |
title_full_unstemmed | Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects |
title_short | Data-driven electron-diffraction approach reveals local short-range ordering in CrCoNi with ordering effects |
title_sort | data-driven electron-diffraction approach reveals local short-range ordering in crconi with ordering effects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636235/ https://www.ncbi.nlm.nih.gov/pubmed/36333312 http://dx.doi.org/10.1038/s41467-022-34335-0 |
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