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FULL CRITICAL REVIEW

Tortuosity in electrochemical devices: a review of calculation approaches

ORCID Icon, ORCID Icon & ORCID Icon
Pages 47-67 | Received 04 Jul 2016, Accepted 11 Oct 2016, Published online: 09 Nov 2016

Figures & data

Figure 1. Illustration of a tortuous path of length Δl through a porous microstructure of thickness Δx, where the shortest tortuous path is used to calculate the tortuosity of the sample.

Figure 1. Illustration of a tortuous path of length Δl through a porous microstructure of thickness Δx, where the shortest tortuous path is used to calculate the tortuosity of the sample.

Figure 2. Comparison of Bruggeman exponents and scaling parameters for different battery layers referenced in .

Figure 2. Comparison of Bruggeman exponents and scaling parameters for different battery layers referenced in Table 1.

Table 1. Comparison of Bruggeman exponent and scaling parameter for battery layers fitted to experimental results.

Figure 3. Mass balance over a Wicke Kallenbach diffusion cell to extract the diffusion flow rate across a porous sample.

Figure 3. Mass balance over a Wicke Kallenbach diffusion cell to extract the diffusion flow rate across a porous sample.

Figure 4. Comparison of experimental- and image-based tortuosity values at different temperatures and for varying H2 concentrations in N2 reproduced with permission from Elsevier [Citation72].

Figure 4. Comparison of experimental- and image-based tortuosity values at different temperatures and for varying H2 concentrations in N2 reproduced with permission from Elsevier [Citation72].

Figure 5. Illustration demonstrating that high-resolution tomography is necessary to extract microstructural features which affect diffusive mass transport.

Figure 5. Illustration demonstrating that high-resolution tomography is necessary to extract microstructural features which affect diffusive mass transport.

Figure 6. Geometric tortuosity distribution of the pore phase of the LiCoO2 battery cathode of yz (A), xz (B) and xy (C) planes reproduced with permission from Elsevier [Citation114].

Figure 6. Geometric tortuosity distribution of the pore phase of the LiCoO2 battery cathode of yz (A), xz (B) and xy (C) planes reproduced with permission from Elsevier [Citation114].

Figure 7. Illustration of the pore centroid method calculation approach which measures the distance d(n) of the centres of mass between two 2D image slices.

Figure 7. Illustration of the pore centroid method calculation approach which measures the distance d(n) of the centres of mass between two 2D image slices.

Figure 8. Results of the TauFactor solver by Cooper [Citation118] running across the pore phase of a porous sample showing the binary image map, the initial, linear concentration distribution and the concentration distribution at steady state.

Figure 8. Results of the TauFactor solver by Cooper [Citation118] running across the pore phase of a porous sample showing the binary image map, the initial, linear concentration distribution and the concentration distribution at steady state.

Table 2. Tortuosity values for pore, Ni and YSZ phase of an SOFC anode calculated using the random walk method and LBM [Citation103].

Table 3. Tortuosity values for graphite and pore phase using the random walk method and finite volume method [Citation137].

Figure 9. RVE analysis of the tortuosity factor for the pore and LSCF phase of an SOFC cathode as function of electrode thickness reproduced with permission from Elsevier [Citation147].

Figure 9. RVE analysis of the tortuosity factor for the pore and LSCF phase of an SOFC cathode as function of electrode thickness reproduced with permission from Elsevier [Citation147].

Figure 10. Temperature distribution across the porous phase of an YSZ porous support membrane of an oxygen transport membrane.

Figure 10. Temperature distribution across the porous phase of an YSZ porous support membrane of an oxygen transport membrane.

Table 4. Comparison of tortuosity values along each dimension for pore phases of porous membranes calculated using flux-based algorithms.

Table 5. Comparison of tortuosity values along each dimension for pore phases of porous membranes calculated using geometric-based algorithms.