TauFactor: An open-source application for calculating tortuosity factors from tomographic data
By S. J. Cooper, A. Bertei, Paul R. Shearing, John A. Kilner, Nigel P. Brandon. SoftwareX, 2016
377 citations recorded by the source corpus.
Abstract TauFactor is a MatLab application for efficiently calculating the tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in diffusive transport resulting from convolutions of the flow paths through porous media. TauFactor was originally developed to improve the understanding of electrode microstructures for batteries and fuel cells; however, the tortuosity factor has been of interest to a wide range of disciplines for over a century, including geoscience, biology and optics. It is still common practice to use correlations, such as that developed by Bruggeman, to approximate the tortuosity factor, but in recent years the increasing availability of 3D imaging techniques has spurred interest in calculating this quantity more directly. This tool provides a fast and accurate computational platform applicable to the big datasets ( > 10 8 voxels) typical of modern tomography, without requiring high computational power.
Subfields: Mechanics of Materials, Nuclear and High Energy Physics, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/8ae9d40b596b677234a06cdd23d9b392f5763793
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Citations in the corpus
- Tortuosity of porous media: Image analysis and physical simulation (2021, positive): “However, according to the comparison results in previous studies (Iwai et al., 2010; Cooper et al., 2013; Tariq et al., 2014; Cooper et al., 2016; Tjaden et al., 2017), as well as our computational experiences (as shown in Figs.”