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Dataset of mechanical properties and electrical conductivity of copper-based alloys

This article presents a collection of data on approximately 150 copper-based alloys. The data compilation is based on articles published since 1993 and consists of about 1830 records. Each record contains a unique set of descriptors, such as composition and processing route, and targets, including p...

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Autores principales: Gorsse, Stéphane, Gouné, Mohamed, Lin, Wei-Chih, Girard, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10387069/
https://www.ncbi.nlm.nih.gov/pubmed/37516748
http://dx.doi.org/10.1038/s41597-023-02411-9
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author Gorsse, Stéphane
Gouné, Mohamed
Lin, Wei-Chih
Girard, Lionel
author_facet Gorsse, Stéphane
Gouné, Mohamed
Lin, Wei-Chih
Girard, Lionel
author_sort Gorsse, Stéphane
collection PubMed
description This article presents a collection of data on approximately 150 copper-based alloys. The data compilation is based on articles published since 1993 and consists of about 1830 records. Each record contains a unique set of descriptors, such as composition and processing route, and targets, including properties such as hardness, yield strength, ultimate tensile strength, and electrical conductivity. The dataset includes information on the composition in mass percent of 20 alloying elements, and hundreds of temperature-time thermal treatments and thermomechanical conditions. The database is continually updated and hosted on an open data repository. Some of the data are presented graphically in the article to aid interpretation. This study intends to promote the identification of more sustainable alternatives to Cu-Be alloys, which is particularly relevant in developing non-toxic and environmentally-friendly alloys.
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spelling pubmed-103870692023-07-31 Dataset of mechanical properties and electrical conductivity of copper-based alloys Gorsse, Stéphane Gouné, Mohamed Lin, Wei-Chih Girard, Lionel Sci Data Data Descriptor This article presents a collection of data on approximately 150 copper-based alloys. The data compilation is based on articles published since 1993 and consists of about 1830 records. Each record contains a unique set of descriptors, such as composition and processing route, and targets, including properties such as hardness, yield strength, ultimate tensile strength, and electrical conductivity. The dataset includes information on the composition in mass percent of 20 alloying elements, and hundreds of temperature-time thermal treatments and thermomechanical conditions. The database is continually updated and hosted on an open data repository. Some of the data are presented graphically in the article to aid interpretation. This study intends to promote the identification of more sustainable alternatives to Cu-Be alloys, which is particularly relevant in developing non-toxic and environmentally-friendly alloys. Nature Publishing Group UK 2023-07-29 /pmc/articles/PMC10387069/ /pubmed/37516748 http://dx.doi.org/10.1038/s41597-023-02411-9 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 Data Descriptor
Gorsse, Stéphane
Gouné, Mohamed
Lin, Wei-Chih
Girard, Lionel
Dataset of mechanical properties and electrical conductivity of copper-based alloys
title Dataset of mechanical properties and electrical conductivity of copper-based alloys
title_full Dataset of mechanical properties and electrical conductivity of copper-based alloys
title_fullStr Dataset of mechanical properties and electrical conductivity of copper-based alloys
title_full_unstemmed Dataset of mechanical properties and electrical conductivity of copper-based alloys
title_short Dataset of mechanical properties and electrical conductivity of copper-based alloys
title_sort dataset of mechanical properties and electrical conductivity of copper-based alloys
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10387069/
https://www.ncbi.nlm.nih.gov/pubmed/37516748
http://dx.doi.org/10.1038/s41597-023-02411-9
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