| 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
Exploring the Effect of Microstructure and Surface Recombination on Hydrogen Effusion in Zn–Ni‐Coated Martensitic Steels by Advanced Computational Modeling
Abstract
<jats:p>Ultrahigh‐strength steel (UHSS) structures are plated with Zn–Ni coatings because of their excellent corrosion resistance properties, but the plating process is accompanied by the production of hydrogen. The presence of hydrogen in steel results in hydrogen embrittlement. Hence, during the production of UHSS parts, dedicated outgassing steps are employed to remove the diffusible hydrogen from the steel. In a production environment, the real effect of the outgassing process and the outgassing efficiency is unknown for parts coated with Zn–Ni. Hence, a finite element model is developed to capture the evolution of the hydrogen concentration profile in coated UHSS parts during outgassing to study the influence of coating morphology and microstructural features of steel. In order to develop the geometry of the model, scanning electron microscope images are analyzed to understand the microstructure and morphology of the coating. Numerical samples are generated by combining different coating morphologies with steel substrates of varying microstructural features to attain a series of samples with varying features. The results of the outgassing simulations clearly demonstrate the major role of the coating morphology on the hydrogen flux.</jats:p>