| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Höche, Daniel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2024Nonlocal Nernst-Planck-Poisson System for Modeling Electrochemical Corrosion in Biodegradable Magnesium Implants
- 2024Exploring the Effect of Microstructure and Surface Recombination on Hydrogen Effusion in Zn–Ni‐Coated Martensitic Steels by Advanced Computational Modelingcitations
- 2024Mechanistic insights into chemical corrosion of AA1050 in ethanol‐blended fuels with water contamination via phase field modeling
- 2022Combining peridynamic and finite element simulations to capture the corrosion of degradable bone implants and to predict their residual strength
- 2021The Stability and Chloride Entrapping Capacity of ZnAl-NO2 LDH in High-Alkaline/Cementitious Environmentcitations
- 2021Novel Magnesium Based Materials:Are They Reliable Drone Construction Materials? A Mini Reviewcitations
- 2020Interoperability architecture for bridging computational tools: application to steel corrosion in concretecitations
- 2019Microstructural Evolution and Microhardness of Direct Laser Clad TiC Dispersed Titanium Aluminide (Ti45Al5Nb0.5Si) Alloycitations
- 2019Data science based mg corrosion engineeringcitations
- 2019Data science based mg corrosion engineering
- 2019Enhanced predictive corrosion modeling with implicit corrosion productscitations
- 2017Role of Phase Composition of PEO Coatings on AA2024 for In-Situ LDH Growthcitations
- 2015Laser nitriding and carburization of materialscitations
- 2014Laser gas-assisted nitriding of Ti alloyscitations
- 2013Design of a nitrogen-implanted titanium-based superelastic alloy with optimized properties for biomedical applicationscitations
- 2013Fast escape of hydrogen from gas cavities around corroding magnesium implantscitations
Places of action
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article
Enhanced predictive corrosion modeling with implicit corrosion products
Abstract
An advanced mathematical approach to describe the influence of corrosion products on the corrosion rate is presented here. The related model can be used as input equation for numerical predictive corrosion simulations or simply as an empirical model, to extrapolate experimental data of corrosion tests to longer times and to interpret the physical parameters behind. This semiempirical model assumes that a constant share of the dissolved metal precipitates on the surface and hinders the diffusion processes. Hence, the effective corrosion rate decreases exponentially with increasing dissolution. The explicit corrosion progress over time is derived by time integration on a newly developed, time dependent corrosion rate equation. The derived expression can be effortlessly implemented in existing for example finite element method, which is demonstrated for the uniform corrosion of a zinc surface. Furthermore, this approach is qualitatively compared with other empirical models for corrosion products and the validity is demonstrated by fitting of experimental data. A very good agreement between experiment and theory can be achieved for various materials and environments considering no change of the driving corrosion mechanism.