Comparison between FIB-SEM Experimental 3-D Reconstructions of SOFC Electrodes and Random Particle-Based Numerical Models

Choi, Haechul; Gawel, Duncan; Berson, Arganthaël; Pharoah, Jon G.; Karan, Kunal

doi:10.1149/1.3570080

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…Indeed, as a general matter, the final synthetic microstructure keeps the reminiscence of the initial particles geometry used for the packing. For example, Choi et al [40] have compared a FIB-SEM reconstruction to a numerical microstructure generated by sphere packing. They obtained significant differences in the resulting structures.…”

Section: Introductionmentioning

confidence: 99%

Particle-based model for functional and diffusion layers of solid oxide cells electrodes

Moussaoui¹,

Debayle²,

Gavet³

et al. 2020

Powder Technology

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Highlights • Novel particle-based model development for Solid Oxide Cell electrodes microstructure • Model adaption for the functional and current collecting layers • Synthetic microstructures morphological and physical validation on 3D reconstructions • Representativeness checked on synchrotron X-ray and FIB-SEM reconstructions • Fine quantification of the different porosity length-scales within the substrate Abstract. A novel particle-based model is proposed to generate synthetic yet representative 3D microstructures of typical SOC electrodes. The model steps can be related to the real electrode manufacturing routes, classically via powders processing, making it a practical tool for electrodes design optimization. The representativeness of the synthetic microstructures is checked on several two-phase (LSCF, LSC) and threephase (Ni-YSZ) electrodes reconstructed by synchrotron X-ray and FIB-SEM tomography. The validation shows a very good agreement between the real and synthetic media in terms of metric, topological and physical properties. Furthermore, the model is adapted to simulate the microstructure of a typical Ni-YSZ current collecting layer by taking into account a bimodal pore-size-distribution. In this objective, the macro-pores resulting from the burning-off of specific pore-formers are morphologically separated in the reconstruction from the micro-porosity network. Finally, the geometrical features of the macro-pores are meticulously characterized and successfully emulated by using parametric ellipsoids.

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Section: Introductionmentioning

confidence: 99%

Particle-based model for functional and diffusion layers of solid oxide cells electrodes

Moussaoui¹,

Debayle²,

Gavet³

et al. 2020

Powder Technology

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“…For instance, Nishida et al [27] have succeeded with a random sphere packing model to reproduce the experimental dependence of TPBs 5 density with the solid phase volume faction. However, Choi et al [45] have compared a FIB-SEM reconstruction to a numerical microstructure generated by sphere packing. They obtained significant differences in the resulting structures.…”

Section: Introductionmentioning

confidence: 99%

Stochastic geometrical modeling of solid oxide cells electrodes validated on 3D reconstructions

Moussaoui

Laurencin

Gavet

et al. 2018

Computational Materials Science

106

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Abstract. An original 3D stochastic model, based on the truncated plurigaussian random fields, has been adapted to simulate the complex microstructure of SOC electrodes. The representativeness of the virtual microstructures has been checked on several synchrotron Xray and FIB-SEM tomographic reconstructions obtained on typical LSCF, LSC and Ni-YSZ electrodes. The validation step has been carried out by comparing numbers of electrode morphological properties as well as the phase effective diffusivities. This analysis has shown that the synthetic media mimic accurately the complex microstructure of typical SOC electrodes. The model capability to simulate different types of promising electrode architectures has also been investigated. It has been shown that the model is able to generate virtual electrode prepared by infiltration resulting in a uniform and continuous thin layer covering a scaffold.With a local thresholding depending on the position, continuous graded electrodes can be also produced. Finally, the model offers the possibility to introduce different correlation lengths for each phase in order to control the local topology of the interfaces. All these cases illustrate the model flexibility to generate various SOC microstructures. This validated and flexible model can be used for further numerical microstructural optimizations to improve the SOC performances.Keyword: Solid Oxide Cell, 3D microstructure model, truncated plurigaussian random fields, X-ray tomography, Electrode design.

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“…Many geometrical models can be used to build synthetic microstructures; 'Random Set Models' for example involves generating the phases by spatially combining geometrical random sets (e.g. union of uniformly dispersed spheres of random radius) [9][10][11][12][13][14]; 'Random Field Models' however consists in generating a spatial random field assigning a random gray level to each voxel. This field is afterwards truncated by thresholding [15][16][17][18].…”

Section: Two-phase Materials Modelmentioning

confidence: 99%

“…1. Other methods based on sphere packing usually fail to reproduce this feature of the sintered porous electrode since they tend to keep in the final microstructure the geometry of the initial spheres [10] [14].…”

Section: Two-phase Materialsmentioning

confidence: 99%

“…Therefore, it can be concluded that the method remains valid even for the hydrogen electrode composed of three phases. As for the oxygen electrode, other methods based on sphere packing have been already used to generate this Ni-YSZ electrode [11][12][13][14]. However, from our best knowledge, no direct comparison with real microstructure has been done.…”

Section: Three-phase Materialsmentioning

confidence: 99%

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3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis

et al. 2017

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A strong correlation exists between the performance of Solid Oxide Cells (SOCs), working either in fuel cell or electrolysis mode, and their electrodes microstructure. However, the basic relationships between the three-dimensional characteristics of the microstructure and the electrode properties are not still precisely understood. Thus, several studies have been recently proposed in an attempt to improve the knowledge of such relations, which are essential before optimizing the microstructure, and hence, designing more efficient SOC electrodes. In that frame, an original model has been adapted to generate virtual 3D microstructures of typical SOCs electrodes. Both the oxygen electrode, which is made of porous LSCF, and the hydrogen electrodes, made of porous Ni-YSZ, have been studied. In this work, the synthetic microstructures are generated by the so-called 3D Gaussian 'Random Field model'. The morphological representativeness of the virtual porous media have been validated on real 3D electrode microstructures of a commercial cell, obtained by X-ray nano-tomography at the European Synchrotron Radiation Facility (ESRF). This validation step includes the comparison of the morphological parameters like the phase covariance function and granulometry as well as the physical parameters like the 'apparent tortuosity'. Finally, this validated tool will be used, in forthcoming studies, to identify the optimal microstructure of SOCs.

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Comparison between FIB-SEM Experimental 3-D Reconstructions of SOFC Electrodes and Random Particle-Based Numerical Models

Cited by 7 publications

References 16 publications

Particle-based model for functional and diffusion layers of solid oxide cells electrodes

Particle-based model for functional and diffusion layers of solid oxide cells electrodes

Stochastic geometrical modeling of solid oxide cells electrodes validated on 3D reconstructions

3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis

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