Random-packing model for solid oxide fuel cell electrodes with particle size distributions

Zhang, Yanxiang; Wang, Yunlong; Wang, Yao; Chen, Fanglin; Xia, Changrong

doi:10.1016/j.jpowsour.2010.09.098

Cited by 33 publications

(22 citation statements)

References 23 publications

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“…At given sintering time, TPB length of polydispersed case is smaller than that of the monosized case. This is because the coordination number between LSM and YSZ particles is smaller for polydispersed case than that for monosized case, based on a recent theoretical analysis [16]. Despite of the difference in TPB length, the optimal sintering times to achieve the peak TPB length are the same for both cases.…”

Section: Effects Of Particle Size Distributionmentioning

confidence: 92%

Simulation of sintering kinetics and microstructure evolution of composite solid oxide fuel cells electrodes

Zhang

Xia

2012

International Journal of Hydrogen Energy

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Section: Effects Of Particle Size Distributionmentioning

confidence: 92%

Simulation of sintering kinetics and microstructure evolution of composite solid oxide fuel cells electrodes

Zhang

Xia

2012

International Journal of Hydrogen Energy

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“…Most of the published methods are related to stochastic models based on random sphere packing algorithms [27,28]. In this frame, many authors have assumed a uniform particle size whereas only few studies have taken into account a more realistic distribution on the sphere radii [29][30]. As a general matter, the sphere packing algorithms are decomposed into 2 steps.…”

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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“…Consequently, it is hard to explain the powders in a simple manner. In literature, at the risk of over simplification, many studies assume that particles are spherical so that the sintering of powder compacts can be represented using simple geometry . Here, we employ a well‐defined initial geometry – the randomly packing system of spherical LSM and YSZ particles with point‐to‐point contact.…”

Section: The Sintering Kinetics Modelmentioning

confidence: 99%

“…In literature, at the risk of over simplification, many studies assume that particles are spherical so that the sintering of powder compacts can be represented using simple geometry. 12,[16][17][18][19][20][21][22][23][24] Here, we employ a well-defined initial geometrythe randomly packing system of spherical LSM and YSZ particles with point-to-point contact. In the LSM-YSZ composite, there exist three kinds of interfaces or grain boundaries -LSM-LSM grain boundary, YSZ-LSM grain boundary, and YSZ-YSZ grain boundary.…”

Section: The Sintering Kinetics Modelmentioning

confidence: 99%

“…13 The activation polarization loss of electrode is directly linked with TPB length, as reported by many experimental and theoretical studies. [14][15][16][17][18][19][20][21][22][23][24] In addition, shrinkage from densification is usually observed during sintering process. This is the dominating factor governing gas transport loss in electrodes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Sintering Kinetics Model for Ceramic Dual‐Phase Composite

Zhang

Xia

et al. 2014

J. Am. Ceram. Soc.

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An analytical model is developed for the sintering kinetics of ceramic dual‐phase composites of the cathodes in solid oxide fuel cells (SOCFs). The model simulates the isothermal and pressureless sintering processes and formulates volumetric three‐phase boundary (TPB) length and porosity as a function of sintering time, surface/interface energies, grain‐boundary diffusivities, particle sizes, and dual‐phase composition. Lanthanum strontium manganite (LSM)–yttria‐stabilized zirconia (YSZ) composite is used as an example to develop and validate the model. LSM–YSZ composites are sintered at 1100°C for various sintering time, and the TPB length and porosity are estimated from SEM images by using stereological analysis to validate the model. Parametric studies are performed at various conditions, illustrating novel insights into the sintering kinetics. This analytical model is generic and applicable to the sintering kinetics of ceramic dual‐phase composites for use in solid‐state electrochemical devices, such as SOCFs, electrolyzers, and gas separation membranes. This analytical model can also be easily extended to the sintering processes of other ceramic dual‐phase and triple‐phase composites.

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Random-packing model for solid oxide fuel cell electrodes with particle size distributions

Cited by 33 publications

References 23 publications

Simulation of sintering kinetics and microstructure evolution of composite solid oxide fuel cells electrodes

Simulation of sintering kinetics and microstructure evolution of composite solid oxide fuel cells electrodes

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

A Sintering Kinetics Model for Ceramic Dual‐Phase Composite

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