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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
Discrete modelling of the electrochemical performance of SOFC electrodes
Abstract
The composite anode and cathode of solid oxide fuel cells (SOFC) are modelled as sintered mixtures of electrolyte and electrocatalyst particles. A particle packing is first created numerically by the discrete element method (DEM) from a loose packing of 40 000 spherical, monosized, homogeneously mixed, and randomly positioned particles. Once the microstructure is sintered numerically, the effective electrode conductivity is determined by discretization of the particle packing into a resistance network. Each particle contact is characteristic of a bond resistance that depends on contact geometry and particle properties. The network, which typically consists of 120 000 bond resistances in total, is solved using Kirchhoff's current law. Distributions of local current densities and particle potentials are then performed. We investigate how electrode performance depends on parameters such as electrode composition, thickness, density and intrinsic material conductivities that are temperature dependent. The simulations show that the best electrode performance is obtained for compositions close to the percolation threshold of the electronic conductor. Depending on particle conductivities, the electrode performance is a function of its thickness. Additionally, DEM simulations generate useful microstructural information such as: coordination numbers, triple phase boundary length and percolation thresholds.