TauFactor: An open-source application for calculating tortuosity factors from tomographic data. auFactor 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 (>108 voxels) typical of modern tomography, without requiring high computational power.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Fu, Jinlong; Cui, Shaoqing; Cen, Song; Li, Chenfeng: Statistical characterization and reconstruction of heterogeneous microstructures using deep neural network (2021)
- James Le Houx, Denis Kramer: OpenImpala: OPEN source IMage based PArallisable Linear Algebra solver (2021) not zbMATH
- T.G. Tranter, M.D.R. Kok, M. Lam, J.T. Gostick: pytrax: A simple and efficient random walk implementation for calculating the directional tortuosity of images (2019) not zbMATH
- Joseph C. Ferguson, Francesco Panerai, Arnaud Borner, Nagi N. Mansour: PuMA: the Porous Microstructure Analysis software (2018) not zbMATH