Evaluation of the relationship between cathode microstructure and electrochemical behavior for SOFCs

Smith, Jeffrey D.; Chen, A.; Gostovic, Danijel; Hickey, David P.; Kundinger, D.; Duncan, Keith L.; DeHoff, R. T.; Jones, K.; Wachsman, E. D.

doi:10.1016/j.ssi.2008.10.017

Cited by 133 publications

(104 citation statements)

References 31 publications

Supporting

Mentioning

101

Contrasting

Order By: Relevance

“…This parameter is calculated by using 'centroid' path method [63][64][65]. For a given phase, the algorithm is based on the calculation of the center of mass within each 2D slices of the reconstruction along the in-plane direction of the flow.…”

Section: Microstructural Properties Measurementsmentioning

confidence: 99%

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

Moussaoui

Laurencin

Gavet

et al. 2018

Computational Materials Science

106

View full text Add to dashboard Cite

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.

show abstract

Section: Microstructural Properties Measurementsmentioning

confidence: 99%

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

Moussaoui

Laurencin

Gavet

et al. 2018

Computational Materials Science

106

View full text Add to dashboard Cite

show abstract

“…2) The MATLAB application TauFactor uses an iterative over-relaxation method to solve the diffusion equation and, again, compares the flux through the porous phase to the flux through the dense volume of equal dimensions Brown et al, 2016b;Finegan et al, 2016). 3) The pore centroid method calculates the path length through a porous structure by following the centre of mass of pores of each 2D image slice along the in-plane direction of the volume and dividing it by the thickness of the volume (Gostovic et al, 2007;Smith et al, 2009;Shearing et al, 2012;Cooper et al, 2013;Cooper et al, 2014). 4) The fast marching method calculates the shortest path through the analysed phase by creating a distance map between the starting and end boundary of a propagating front.…”

Section: Image-based Tortuosity Calculation Approachesmentioning

confidence: 99%

Contradictory concepts in tortuosity determination in porous media in electrochemical devices

Tjaden

Finegan

Lane³

et al. 2017

Chemical Engineering Science

View full text Add to dashboard Cite

Porous media are a vital component in almost every electrochemical device in the form of electrode, support or gas diffusion layers. Microstructural parameters of porous layers such as tortuosity, porosity and pore size diameter are of high importance and crucial for diffusive mass transport calculations. Among these parameters, the tortuosity remains ill-defined in the field of electrochemistry, resulting in a wide range of different calculation approaches. Here, we present a systematic approach of calculating the tortuosity of different porous samples using image and diffusion cell experimental-based methods. Image-based analyses include a selection of geometric and flux-based tortuosity calculation algorithms. Differences between the image and diffusion cell-based results are encountered and attributed to the small pore diameters and thereby induced Knudsen effects within the samples which govern the diffusion flux. Highlights Microstructural analysis of oxygen transport membrane porous supports.  Correlative tortuosity determinations via X-ray tomography and diffusion cell experiments.  Evaluation of the effect of tortuosity, porosity and sample thickness on diffusion resistance.  Visible differences between different tortuosity calculation approaches are encountered.  Diffusion cell experiments yield the highest and geometric-based image quantification algorithms result in the lowest tortuosity values.

show abstract

“…Strontium-doped lanthanum manganite perovskite oxides (La 1-x Sr x MnO 3±δ , LSM) have been widely studied in recent years due to their interesting applications in solid oxide fuel cells (SOFC), oxi-reduction catalysts (automotive catalysis), sensors and memories [1][2][3][4][5][6] . These latter applications are due to the outstanding magnetotransport properties of these oxides [7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

Synthesis and characterization of La1-xSr xMnO3±δ powders obtained by the polymeric precursor route

et al. 2011

View full text Add to dashboard Cite

Polycrystalline strontium-doped lanthanum manganite (LSM) powders with 0.15, 0.22, and 0.30 mol % Sr were synthesized by the polymeric precursor route using a molar ratio of 3:1 citric acid and metal cations. The powders were characterized by Fourier transform infrared spectroscopy, thermal analysis, high-temperature X-ray diffraction to determine the crystalline perovskite phase and crystallite sizes, scanning electron microscopy for the morphological analysis, nitrogen adsorption to determine the specific surface area, and laser scattering to evaluate the particle size distribution. The LSM perovskite-type oxides containing intermediate 0.22 mol % Sr were found to exhibit a tendency to decrease in crystallite size and increase in specific surface area and, when calcined at 700-900 °C exhibited a pure phase of perovskite, had a crystallite size of about 17-20 nm and a specific surface area for 900 °C of 34.3 m 2 .g -1.

show abstract

Evaluation of the relationship between cathode microstructure and electrochemical behavior for SOFCs

Cited by 133 publications

References 31 publications

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

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

Contradictory concepts in tortuosity determination in porous media in electrochemical devices

Synthesis and characterization of La1-xSr xMnO3±δ powders obtained by the polymeric precursor route

Contact Info

Product

Resources

About