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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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Martin, Christophe, Louis
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2018Anisotropic sintering behavior of freeze-cast ceramics by optical dilatometry and discrete-element simulationscitations
- 2018Design of strain tolerant porous microstructures – A case for controlled imperfectioncitations
- 2017Fast in situ 3D nanoimaging: a new tool for dynamic characterization in materials sciencecitations
- 2016Effect of Macropore Anisotropy on the Mechanical Response of Hierarchically Porous Ceramicscitations
- 2016Rational design of hierarchically nanostructured electrodes for solid oxide fuel cellscitations
- 2015Effective transport properties of 3D multi-component microstructures with interface resistancecitations
- 2015Three dimensional analysis of Ce0.9Gd0.1O1.95–La0.6Sr0.4Co0.2Fe0.8O3−δ oxygen electrode for solid oxide cellscitations
- 2011Microstructure of porous composite electrodes generated by the discrete element methodcitations
- 2007Micromodeling of Functionally Graded SOFC Cathodescitations
- 2006Discrete modelling of the electrochemical performance of SOFC electrodescitations
Places of action
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article
Effective transport properties of 3D multi-component microstructures with interface resistance
Abstract
International audience ; A three-dimensional image analysis tool has been developed to compute the effective conductivity of a particulate composite made of pores (material 0) and two materials (1) and (2). Three types of resistances are considered: the two resistances between materials (1)-(1) and (2)-(2) and the charge transfer resistance at the interface between materials (1) and (2). The numerical tool uses voxelised 3D numerical microstructures generated by discrete element simulations to mimic the particulate nature of the tested material. The method is validated by comparing its results to a resistance network model that incorporates interface resistance. The validation is conducted for both homogeneous and composite materials. Our tool has the advantage, compared with a resistance-network model, of allowing 3D tomography images to be treated. The method is applied to a microstructure typical of a composite Solid Oxide Fuel Cell cathode, however it is general enough to be a versatile tool for computing effective transport properties of any composite material where interface properties must be taken into account.