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Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion
A mechanistic model of atmospheric bimetallic corrosion with a simplified empirical approach to the onset of localized corrosion attacks is presented. The model was built for a typical bimetallic sample containing aluminum alloy 1050 and stainless steel 316L sheets. A strategy was developed that all...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917702/ https://www.ncbi.nlm.nih.gov/pubmed/36769928 http://dx.doi.org/10.3390/ma16030923 |
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author | Zavalis, Tommy G. Ström, Mats Persson, Dan Wendel, Erik Ahlström, Johan Törne, Karin Beaussant Taxén, Claes Rendahl, Bo Voltaire, Joakim Eriksson, Katarina Thierry, Dominique Tidblad, Johan |
author_facet | Zavalis, Tommy G. Ström, Mats Persson, Dan Wendel, Erik Ahlström, Johan Törne, Karin Beaussant Taxén, Claes Rendahl, Bo Voltaire, Joakim Eriksson, Katarina Thierry, Dominique Tidblad, Johan |
author_sort | Zavalis, Tommy G. |
collection | PubMed |
description | A mechanistic model of atmospheric bimetallic corrosion with a simplified empirical approach to the onset of localized corrosion attacks is presented. The model was built for a typical bimetallic sample containing aluminum alloy 1050 and stainless steel 316L sheets. A strategy was developed that allowed the model to be calibrated against the measured galvanic current, geometrical corrosion attack properties, and corrosion products. The pitting-onset simplification sets all pits to be formed at a position near the nobler metal and treated all pits as being of the same shape and size. The position was based on the location of the highest pitting events and the pit attributes on an average of the deepest pits. For 5 h exposure at controlled RH (85%, 91%, and 97%) and salt load (86 μg NaCl/cm(2)), the model was shown to be promising: both for analysis of local bimetallic corrosion chemistry, such as pH and corrosion products, and for efficient assessment of pitting damage by computing a single largest pit depth. Parametric studies indicated that the pitting-onset approximation deviated the most at the beginning of exposure and when RH was below 91%. |
format | Online Article Text |
id | pubmed-9917702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99177022023-02-11 Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion Zavalis, Tommy G. Ström, Mats Persson, Dan Wendel, Erik Ahlström, Johan Törne, Karin Beaussant Taxén, Claes Rendahl, Bo Voltaire, Joakim Eriksson, Katarina Thierry, Dominique Tidblad, Johan Materials (Basel) Article A mechanistic model of atmospheric bimetallic corrosion with a simplified empirical approach to the onset of localized corrosion attacks is presented. The model was built for a typical bimetallic sample containing aluminum alloy 1050 and stainless steel 316L sheets. A strategy was developed that allowed the model to be calibrated against the measured galvanic current, geometrical corrosion attack properties, and corrosion products. The pitting-onset simplification sets all pits to be formed at a position near the nobler metal and treated all pits as being of the same shape and size. The position was based on the location of the highest pitting events and the pit attributes on an average of the deepest pits. For 5 h exposure at controlled RH (85%, 91%, and 97%) and salt load (86 μg NaCl/cm(2)), the model was shown to be promising: both for analysis of local bimetallic corrosion chemistry, such as pH and corrosion products, and for efficient assessment of pitting damage by computing a single largest pit depth. Parametric studies indicated that the pitting-onset approximation deviated the most at the beginning of exposure and when RH was below 91%. MDPI 2023-01-18 /pmc/articles/PMC9917702/ /pubmed/36769928 http://dx.doi.org/10.3390/ma16030923 Text en © 2023 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 | Article Zavalis, Tommy G. Ström, Mats Persson, Dan Wendel, Erik Ahlström, Johan Törne, Karin Beaussant Taxén, Claes Rendahl, Bo Voltaire, Joakim Eriksson, Katarina Thierry, Dominique Tidblad, Johan Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion |
title | Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion |
title_full | Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion |
title_fullStr | Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion |
title_full_unstemmed | Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion |
title_short | Mechanistic Model with Empirical Pitting Onset Approach for Detailed and Efficient Virtual Analysis of Atmospheric Bimetallic Corrosion |
title_sort | mechanistic model with empirical pitting onset approach for detailed and efficient virtual analysis of atmospheric bimetallic corrosion |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917702/ https://www.ncbi.nlm.nih.gov/pubmed/36769928 http://dx.doi.org/10.3390/ma16030923 |
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