Focused ion beam-scanning electron microscopy on solid-oxide fuel-cell electrode: Image analysis and computing effective transport properties

A Simple Expression for the Tortuosity of Gas Transport Paths in Solid Oxide Fuel Cells’ Porous Electrodes

“…Berson et al [16] reported that Bruggeman correction, which was only valid for ε 0.6  , introduced big errors in low [15,[19][20][21][22][23][24][25][26][27], line + solid triangle symbols denote the results calculated by Equation (9), solid square symbols denote the results calculated by the 3D sphere packing model [17]. Figure 4 shows the dependence of fpε, τqp" D eff {D 0 q on porosity.…”

Composition and Manufacturing Effects on Electrical Conductivity of Li/FeS2Thermal Battery Cathodes

“…This is likely due to (1) agglomerated particles appearing as one "particle" when characterized by MicroCT yet shown separately in laser diffraction results due to sonication; (2) insufficient MicroCT resolution for the smallest particles, because 0.5 μm pixels are insufficient to resolve features of comparable size; and (3) sensitivity of the reconstruction to image processing settings. 30 We also compared each microstructure reconstruction's FeS 2 volume fraction with its experimental volume fraction, calculated from the pellet mass, volume, and chemical composition. Figure A2 illustrates the relative error of the volume fraction, calculated by comparing the volume fractions from the Watershed segmentation (binarization), surface mesh, and CDFEM mesh, to the experimental values.…”

Towards the 3D Modelling of the Effective Conductivity of Solid Oxide Fuel Cell Electrodes – Validation against experimental measurements and prediction of electrochemical performance

“…The resistor network is often drawn from randomly packed electronic and ionic spherical particles in which one particle is essentially represented by one vertex in the resistor network, and each vertex is assigned a resistance to represent a particular phase in an SOFC electrode. Recently, the 3D imaging of experimental SOFC electrode microstructures has been made possible through focused ion beam-scanning electron microscope (FIB-SEM) or X-ray computed tomography (XCT) techniques [8][9][10][11][12][13][14]36]. This has in turn further promoted the development of modeling methods to derive effective conductivities based on complex real 3D microstructures.…”

“…This has in turn further promoted the development of modeling methods to derive effective conductivities based on complex real 3D microstructures. Examples of these include the lattice Boltzmann method (LBM) [9], finite-volume-based methods such as computational fluid dynamics (CFD) [13], and finite-element-based approaches such as COMSOL multiphysics [14]. These approaches have been used to investigate the effects of microstructural properties such as particle size and porosity on effective conductivities.…”