| 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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Chen, Fiona
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Topics
Publications (4/4 displayed)
- 2020Numerical study of the metal vapour transport in tungsten inert-gas welding in argon for stainless steelcitations
- 2015The influence of rare earth mercaptoacetate on the initiation of corrosion on AA2024-T3 Part II: The influence of intermetallic compositions within heavily attacked sitescitations
- 2015The influence of rare earth mercaptoacetate on the initiation of corrosion on AA2024-T3 Part I: Average statistics of each intermetallic compositioncitations
- 2014Microstructure characterisation and reconstruction of intermetallic particlescitations
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article
Microstructure characterisation and reconstruction of intermetallic particles
Abstract
Pitting corrosion is associated with the distribution and composition of intermetallic (IM) particles. However, quantitatively studying the relationship between alloy corrosion and IM particle property remains a challenging topic. In this paper, a computational method is presented for IM particle characterisation and reconstruction based on backscattered scanning electron micrographs of aluminium alloy AA2024-T3. The reconstructed mapping of IM particles provides a 2D map of the intermetallic distribution that conforms to empirical statistical data but is generated randomly. This enables a range of statistically identical virtual microstructures which are generated in order to determine variability in pitting models as well as for systematic variation of input parameters in a sensitivity analysis (e.g., concentration of a given alloying element) used to deduce new microstructural maps for modified compositions. IM particle spatial distribution patterns are analysed based on the reconstruction maps to study the clustering properties of different types of IM particles. The presented approach provides a quantitative tool for studying the relationship between alloy corrosion and the distribution and composition of a range of IM particles.