3D Microstructural characterization of a solid oxide fuel cell anode reconstructed by focused ion beam tomography

Vivet, N.; Chupin, Sylvain; Estrade, E.; Piquero, T.; Pommier, Pierrick; Rochais, Denis; Bruneton, E.

doi:10.1016/j.jpowsour.2011.03.060

Cited by 117 publications

(87 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nevertheless, values for the pore phase tortuosity are lower but comparable to values found by Izzo et al 80 However, due to the observed directional anisotropy of the solid phase tortuosities, Iwai et al concluded, that the sample volume was not sufficiently large to present effective ionic and electronic conductivity values. Vivet et al 127 achieved similarly high Ni-phase tortuosity values using a finite difference method. However, due to the higher YSZ fraction in their sample, achieved YSZ tortuosities lay below the values reported by Iwai et al 99 The aforementioned random walk method 28,99,128-131 mimics a diffusion process by distributing a number of non-sorbing particles, so-called "walkers", across the segmented voxel phase.…”

Section: Voxel Based Calculation Methodsmentioning

confidence: 90%

Tortuosity in electrochemical devices: a review of calculation approaches

Tjaden

Brett

Shearing

2016

International Materials Reviews

202

188

View full text Add to dashboard Cite

The tortuosity of a structure plays a vital role in the transport of mass and charge in electrochemical devices. Concentration polarisation losses at high current densities are caused by mass transport limitations and are thus a function of microstructural characteristics. As tortuosity is notoriously difficult to ascertain, a wide and diverse range of methods has been developed to extract the tortuosity of a structure. These methods differ significantly in terms of calculation approach and data preparation techniques. Here, we review tortuosity calculation procedures applied in the field of electrochemical devices to better understand the resulting values presented in the literature. Visible differences between calculation methods are observed, especially when using porosity-tortuosity relationships and when comparing geometric and flux based tortuosity calculation approaches.

show abstract

Section: Voxel Based Calculation Methodsmentioning

confidence: 90%

Tortuosity in electrochemical devices: a review of calculation approaches

Tjaden

Brett

Shearing

2016

International Materials Reviews

202

188

View full text Add to dashboard Cite

show abstract

“…The effective ionic and electronic conductivity in the electrodes are defined as [21]: (20) where  is the tortuosity factors of charge transport and V the volume fraction for the specific materials, as specified in Table 2 46 were found for Ni and between 9.84 and 27.89 for YSZ, respectively, depending slightly on the evaluation methods, but mostly on the direction (x, y and z) [22]. Vivet et al [23] calculated the tortuosity in the range of 3.04 and 6.24 for Ni, and between 1.79 and 2.10 for YSZ, respectively. For this work the dimensionless parameters for the electrode structure stated in Table 2 are employed.…”

mentioning

confidence: 99%

“…For this work the dimensionless parameters for the electrode structure stated in Table 2 are employed. It is worthwhile to note that there is an negligible transport of oxygen ions in Ni material and of electrons in YSZ material [23], and therefore it is not considered in this study. where E 0 is the temperature dependent Nernst potential at standard pressure and p i the partial pressure, at the TPB, in atm.…”

mentioning

confidence: 99%

SOFC modeling considering hydrogen and carbon monoxide as electrochemical reactants

Andersson

Yuan

Sundén

2013

Journal of Power Sources

125

View full text Add to dashboard Cite

Fuel cells are promising for future energy systems, because they are energy efficient and able to use renewable fuels. A fully coupled computational fluid dynamics (CFD) approach based on the finite element method, in twodimensions, is developed to describe a solid oxide fuel cell (SOFC). Governing equations for, gas-phase species, heat momentum, ion and electron transport are implemented and coupled to kinetics describing electrochemical and internal reforming reactions. Both carbon monoxide and hydrogen are considered as electrochemical reactants within the anode. The predicted results show that the current density distribution along the main flow direction depends on the local concentrations and temperature. A higher (local) fraction of electrochemical reactants increases the Nernst potential as well as the current density. For fuel mixtures without methane, the cathode air flow rate needs to be increased significantly to avoid high temperature gradients within the cell as well as a high outlet temperature.

show abstract

“…Tortuosity factors in the range of 9.24 and 38.9 for Ni, and between 3.20 and 4.41 for YSZ, respectively was calculated by Vivet et al [38].…”

Section: Mass Transportmentioning

confidence: 99%

Comparison of humidified hydrogen and partly pre-reformed natural gas as fuel for solid oxide fuel cells applying computational fluid dynamics

Andersson

Nakajima

Shimizu

et al. 2014

International Journal of Heat and Mass Transfer

View full text Add to dashboard Cite

3D Microstructural characterization of a solid oxide fuel cell anode reconstructed by focused ion beam tomography

Cited by 117 publications

References 45 publications

Tortuosity in electrochemical devices: a review of calculation approaches

Tortuosity in electrochemical devices: a review of calculation approaches

SOFC modeling considering hydrogen and carbon monoxide as electrochemical reactants

Comparison of humidified hydrogen and partly pre-reformed natural gas as fuel for solid oxide fuel cells applying computational fluid dynamics

Contact Info

Product

Resources

About