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Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel
Precipitation hardening stainless steels have attracted extensive interest due to their distinguished mechanical properties. However, it is necessary to further uncover the internal quantitative relationship from the traditional standpoint based on the statistical perspective. In this review, we sum...
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/PMC9737682/ https://www.ncbi.nlm.nih.gov/pubmed/36499939 http://dx.doi.org/10.3390/ma15238443 |
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author | Cui, Puchang Xing, Geshu Nong, Zhisheng Chen, Liang Lai, Zhonghong Liu, Yong Zhu, Jingchuan |
author_facet | Cui, Puchang Xing, Geshu Nong, Zhisheng Chen, Liang Lai, Zhonghong Liu, Yong Zhu, Jingchuan |
author_sort | Cui, Puchang |
collection | PubMed |
description | Precipitation hardening stainless steels have attracted extensive interest due to their distinguished mechanical properties. However, it is necessary to further uncover the internal quantitative relationship from the traditional standpoint based on the statistical perspective. In this review, we summarize the latest research progress on the relationships among the composition, microstructure, and properties of precipitation hardened stainless steels. First, the influence of general chemical composition and its fluctuation on the microstructure and properties of PHSS are elaborated. Then, the microstructure and properties under a typical heat treatment regime are discussed, including the precipitation of B2-NiAl particles, Cu-rich clusters, Ni(3)Ti precipitates, and other co-existing precipitates in PHSS and the hierarchical microstructural features are presented. Next, the microstructure and properties after the selective laser melting fabricating process which act as an emerging technology compared to conventional manufacturing techniques are also enlightened. Thereafter, the development of multi-scale simulation and machine learning (ML) in material design is illustrated with typical examples and the great concerns in PHSS research are presented, with a focus on the precipitation techniques, effect of composition, and microstructure. Finally, promising directions for future precipitation hardening stainless steel development combined with multi-scale simulation and ML methods are prospected, offering extensive insight into the innovation of novel precipitation hardening stainless steels. |
format | Online Article Text |
id | pubmed-9737682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97376822022-12-11 Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel Cui, Puchang Xing, Geshu Nong, Zhisheng Chen, Liang Lai, Zhonghong Liu, Yong Zhu, Jingchuan Materials (Basel) Review Precipitation hardening stainless steels have attracted extensive interest due to their distinguished mechanical properties. However, it is necessary to further uncover the internal quantitative relationship from the traditional standpoint based on the statistical perspective. In this review, we summarize the latest research progress on the relationships among the composition, microstructure, and properties of precipitation hardened stainless steels. First, the influence of general chemical composition and its fluctuation on the microstructure and properties of PHSS are elaborated. Then, the microstructure and properties under a typical heat treatment regime are discussed, including the precipitation of B2-NiAl particles, Cu-rich clusters, Ni(3)Ti precipitates, and other co-existing precipitates in PHSS and the hierarchical microstructural features are presented. Next, the microstructure and properties after the selective laser melting fabricating process which act as an emerging technology compared to conventional manufacturing techniques are also enlightened. Thereafter, the development of multi-scale simulation and machine learning (ML) in material design is illustrated with typical examples and the great concerns in PHSS research are presented, with a focus on the precipitation techniques, effect of composition, and microstructure. Finally, promising directions for future precipitation hardening stainless steel development combined with multi-scale simulation and ML methods are prospected, offering extensive insight into the innovation of novel precipitation hardening stainless steels. MDPI 2022-11-27 /pmc/articles/PMC9737682/ /pubmed/36499939 http://dx.doi.org/10.3390/ma15238443 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 | Review Cui, Puchang Xing, Geshu Nong, Zhisheng Chen, Liang Lai, Zhonghong Liu, Yong Zhu, Jingchuan Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel |
title | Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel |
title_full | Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel |
title_fullStr | Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel |
title_full_unstemmed | Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel |
title_short | Recent Advances on Composition-Microstructure-Properties Relationships of Precipitation Hardening Stainless Steel |
title_sort | recent advances on composition-microstructure-properties relationships of precipitation hardening stainless steel |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737682/ https://www.ncbi.nlm.nih.gov/pubmed/36499939 http://dx.doi.org/10.3390/ma15238443 |
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