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Electrochemical metrics for corrosion resistant alloys
Corrosion is an electrochemical phenomenon. It can occur via different modes of attack, each having its own mechanisms, and therefore there are multiple metrics for evaluating corrosion resistance. In corrosion resistant alloys (CRAs), the rate of localized corrosion can exceed that of uniform corro...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878803/ https://www.ncbi.nlm.nih.gov/pubmed/33574339 http://dx.doi.org/10.1038/s41597-021-00840-y |
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author | Nyby, Clara Guo, Xiaolei Saal, James E. Chien, Szu-Chia Gerard, Angela Y. Ke, Huibin Li, Tianshu Lu, Pin Oberdorfer, Christian Sahu, Sarita Li, Sirui Taylor, Christopher D. Windl, Wolfgang Scully, John R. Frankel, Gerald S. |
author_facet | Nyby, Clara Guo, Xiaolei Saal, James E. Chien, Szu-Chia Gerard, Angela Y. Ke, Huibin Li, Tianshu Lu, Pin Oberdorfer, Christian Sahu, Sarita Li, Sirui Taylor, Christopher D. Windl, Wolfgang Scully, John R. Frankel, Gerald S. |
author_sort | Nyby, Clara |
collection | PubMed |
description | Corrosion is an electrochemical phenomenon. It can occur via different modes of attack, each having its own mechanisms, and therefore there are multiple metrics for evaluating corrosion resistance. In corrosion resistant alloys (CRAs), the rate of localized corrosion can exceed that of uniform corrosion by orders of magnitude. Therefore, instead of uniform corrosion rate, more complex electrochemical parameters are required to capture the salient features of corrosion phenomena. Here, we collect a database with an emphasis on metrics related to localized corrosion. The six sections of the database include data on various metal alloys with measurements of (1) pitting potential, E(pit), (2) repassivation potential, E(rp), (3) crevice corrosion potential, E(crev), (4) pitting temperature, T(pit), (5) crevice corrosion temperature, T(crev), and (6) corrosion potential, E(corr), corrosion current density, i(corr), passivation current density, i(pass), and corrosion rate. The experimental data were collected from 85 publications and include Al- and Fe-based alloys, high entropy alloys (HEAs), and a Ni-Cr-Mo ternary system. This dataset could be used in the design of highly corrosion resistant alloys. |
format | Online Article Text |
id | pubmed-7878803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78788032021-02-24 Electrochemical metrics for corrosion resistant alloys Nyby, Clara Guo, Xiaolei Saal, James E. Chien, Szu-Chia Gerard, Angela Y. Ke, Huibin Li, Tianshu Lu, Pin Oberdorfer, Christian Sahu, Sarita Li, Sirui Taylor, Christopher D. Windl, Wolfgang Scully, John R. Frankel, Gerald S. Sci Data Data Descriptor Corrosion is an electrochemical phenomenon. It can occur via different modes of attack, each having its own mechanisms, and therefore there are multiple metrics for evaluating corrosion resistance. In corrosion resistant alloys (CRAs), the rate of localized corrosion can exceed that of uniform corrosion by orders of magnitude. Therefore, instead of uniform corrosion rate, more complex electrochemical parameters are required to capture the salient features of corrosion phenomena. Here, we collect a database with an emphasis on metrics related to localized corrosion. The six sections of the database include data on various metal alloys with measurements of (1) pitting potential, E(pit), (2) repassivation potential, E(rp), (3) crevice corrosion potential, E(crev), (4) pitting temperature, T(pit), (5) crevice corrosion temperature, T(crev), and (6) corrosion potential, E(corr), corrosion current density, i(corr), passivation current density, i(pass), and corrosion rate. The experimental data were collected from 85 publications and include Al- and Fe-based alloys, high entropy alloys (HEAs), and a Ni-Cr-Mo ternary system. This dataset could be used in the design of highly corrosion resistant alloys. Nature Publishing Group UK 2021-02-11 /pmc/articles/PMC7878803/ /pubmed/33574339 http://dx.doi.org/10.1038/s41597-021-00840-y Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Nyby, Clara Guo, Xiaolei Saal, James E. Chien, Szu-Chia Gerard, Angela Y. Ke, Huibin Li, Tianshu Lu, Pin Oberdorfer, Christian Sahu, Sarita Li, Sirui Taylor, Christopher D. Windl, Wolfgang Scully, John R. Frankel, Gerald S. Electrochemical metrics for corrosion resistant alloys |
title | Electrochemical metrics for corrosion resistant alloys |
title_full | Electrochemical metrics for corrosion resistant alloys |
title_fullStr | Electrochemical metrics for corrosion resistant alloys |
title_full_unstemmed | Electrochemical metrics for corrosion resistant alloys |
title_short | Electrochemical metrics for corrosion resistant alloys |
title_sort | electrochemical metrics for corrosion resistant alloys |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878803/ https://www.ncbi.nlm.nih.gov/pubmed/33574339 http://dx.doi.org/10.1038/s41597-021-00840-y |
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