2014
DOI: 10.1016/j.elecom.2014.09.010
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X-ray micro-tomography as a diagnostic tool for the electrode degradation in vanadium redox flow batteries

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Cited by 76 publications
(54 citation statements)
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“…(19), where Jeff is the effective diffusion flux, c is the molar concentration, ̇ is the effective heat flux, λ bulk is the bulk thermal conductivity. 84,102,146,147 By rearranging the temperature gradient, the heat flux and thus, the tortuosity can be calculated along each axis of a sample. Cooper et al 62 scanned a commercially available LiFePO4 battery cathode using X-ray synchrotron nano CT and investigated the tortuosity of the pore phase using heat flux simulation.…”
Section: Mesh Based Calculation Methodsmentioning
confidence: 99%
“…(19), where Jeff is the effective diffusion flux, c is the molar concentration, ̇ is the effective heat flux, λ bulk is the bulk thermal conductivity. 84,102,146,147 By rearranging the temperature gradient, the heat flux and thus, the tortuosity can be calculated along each axis of a sample. Cooper et al 62 scanned a commercially available LiFePO4 battery cathode using X-ray synchrotron nano CT and investigated the tortuosity of the pore phase using heat flux simulation.…”
Section: Mesh Based Calculation Methodsmentioning
confidence: 99%
“…A preferred approach would be to use X-ray tomography to visualize the interior of the mat. 37 Porosity measurement.-Porosity, ε, of the electrospun PAN mat was calculated by measuring the mass and volume of a sample cut by a hole punch with 3/8 in. diameter.…”
Section: A2040mentioning
confidence: 99%
“…The tortuosity is achieved by relating the heat flux through the porous phase of the sample to the heat flux through a dense sample volume of equal dimensions (Cooper et al, 2014;Trogadas et al, 2014;Brown et al, 2016a;Tjaden et al, 2016b). 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).…”
Section: Image-based Tortuosity Calculation Approachesmentioning
confidence: 99%