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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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Hughes, Tony
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Interpretation of Complex X-ray Photoelectron Peak Shapes Part II: Case Study of Fe 2p3/2 fitting applied to Austenitic Stainless Steels 316 and 304.citations
- 2023Electrochemical and Surface Characterisation of Carbon Steel Exposed to Mixed Ce and Iodide Electrolytes
- 20203D characterization of material compositions with data-constrained modelling and quantitative X-ray CT
- 2018An examination of the composition and microstructure of coarse intermetallic particles in AA2099-T8, including Li detectioncitations
- 2017Probing corrosion initiation at interfacial nanostructures of AA2024-T3citations
- 2016Defect density associated with constituent particles in AA2024-T3 and its role in corrosioncitations
- 2016Using high throughput experimental data and in silico models to discover alternatives to toxic chromate corrosion inhibitorscitations
- 2016A closer look at constituent induced localised corrosion in Al-Cu-Mg alloyscitations
- 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
- 2014Towards chromate-free corrosion inhibitors: structure property models for organic alternativescitations
- 2014Microstructure characterisation and reconstruction of intermetallic particlescitations
- 2013A consistent description of intermetallic particle composition: An analysis of ten batches of AA2024-T3citations
- 2013Investigation into the influence of carbon contamination on the corrosion behavior of aluminum microelectrodes and AA2024-T3citations
- 2012A combinatorial matrix of rare earth chloride mixtures as corrosion inhibitors of AA2024-T3: Optimisation using potentiodynamic polarisation and EIScitations
- 2012FIB/SEM study of AA2024 corrosion under a seawater drop. Part IIcitations
- 2011Self-healing anticorrosive organic coating based on an encapsulated water reactive silyl ester: Synthesis and proof of concept
- 2011FIB/SEM study of AA2024 corrosion under a seawater drop: Part Icitations
- 2010Combining green self-healing coatings for metal protectioncitations
Places of action
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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.