Corrosion protection of steel cut‐edges by hot‐dip galvanized Al(Zn,Mg) coatings in 1wt% NaCl: Part II. Numerical simulations

In this paper a mechanistic model is elaborated to simulate the corrosion behavior of aluminum–zinc–magnesium coatings on steel. The model is based on the mass transport and reactions of the ions in the electrolyte (MITReM). The finite element method has been used, which allows to perform time‐depen...

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Bibliographic Details
Published inMaterials and corrosion Vol. 70; no. 5; pp. 780 - 792
Main Authors Dolgikh, Olga, Simillion, Hans, Lamaka, Sviatlana V, Bastos, Alexandre C, Xue, Huibin B, Taryba, Maryna G, Oliveira, Andre R, Allély, Christian, Bart Van Den Bossche, Van Den Bergh, Krista, De Strycker, Joost, Deconinck, Johan
Format Journal Article
LanguageEnglish
Published Weinheim Wiley Subscription Services, Inc 01.05.2019
Subjects
Aluminum
Computer simulation
Corrosion
Corrosion effects
Corrosion prevention
Corrosion products
Corrosion tests
Design optimization
Dip coatings
Electrolytes
Finite element method
Galvanizing
Magnesium
Mathematical models
Precipitates
Predictive maintenance
Protective coatings
Qualitative analysis
Scale (corrosion)
Simulation
Time dependent analysis
Zinc coatings
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Summary:In this paper a mechanistic model is elaborated to simulate the corrosion behavior of aluminum–zinc–magnesium coatings on steel. The model is based on the mass transport and reactions of the ions in the electrolyte (MITReM). The finite element method has been used, which allows to perform time‐dependent simulations with micrometer scale to study local corrosion effects. The formation of corrosion products and the prediction of electrolyte concentration distributions are compared for different metallic coating compositions. The spatial and temporal simulation of complex precipitates provides an additional tool to validate the model through corrosion product characterization. The simulation results are compared to experimental observations, presented in part I of this paper. The MITReM simulations are limited to the micro‐scale and therefore to small geometries. A link is made with the potential model which can be applied on macro‐scale objects. A qualitative agreement is found between the simulations at both scales and the experiments. Further quantification of this model would optimize the simulations for material design and for predictive maintenance.
ISSN:0947-5117
1521-4176
DOI:10.1002/maco.201810210