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TauFactor: An open-source application for calculating tortuosity factors from tomographic data

机译:TauFactor:用于从断层图像数据计算曲折因子的开源应用程序

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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.
机译:TauFactor是MatLab应用程序,用于根据基于图像的微结构数据有效地计算曲折因子以及体积分数,表面积和三相边界密度。曲折因子量化了由于通过多孔介质的流动路径的卷积而导致的扩散传输的明显减少。 TauFactor最初是为了增进对电池和燃料电池的电极微结构的理解而开发的。然而,一个世纪以来,曲折因素一直是包括自然科学,生物学和光学等众多学科的兴趣所在。使用相关性(例如由布鲁格曼(Bruggeman)开发的相关性)来近似曲折因子仍然是常见的做法,但是近年来,随着3D成像技术可用性的提高,引起了人们对直接计算此数量的兴趣。该工具提供了快速,准确的计算平台,适用于现代层析成像典型的大型数据集(> 10 8体素),而无需高计算能力。

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