Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1784886431241469952
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
work_keys_str_mv AT zavalistommyg mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT strommats mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT perssondan mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT wendelerik mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT ahlstromjohan mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT tornekarinbeaussant mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT taxenclaes mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT rendahlbo mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT voltairejoakim mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT erikssonkatarina mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT thierrydominique mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion
AT tidbladjohan mechanisticmodelwithempiricalpittingonsetapproachfordetailedandefficientvirtualanalysisofatmosphericbimetalliccorrosion