期刊
SOFTWAREX
卷 10, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.softx.2019.100277
关键词
Random walk; Directional tortuosity; Python; Image analysis
资金
- Natural Science and Engineering Research Council of Canada
- Automotive Fuel Cell Cooperation
Given the huge advances in tomographic imaging capability in recent years, image analysis has become a powerful means of measuring transport and structural properties of porous materials. One of the most important material characteristics is the tortuosity, which is difficult to measure experimentally. We present pytrax: (tortuosity from random axial movements) a simple and efficient random walk method implemented in python to calculate the average tortuosity and orthogonal directional tortuosity components of an image. The code works for both two and three-dimensional images and completes a statistically significant number of walks in parallel for large images in a few minutes using a standard desktop computer. By comparison, a Lattice Boltzmann or finite element simulation on similar sized images can take several hours. (C) 2019 The Authors. Published by Elsevier B.V.
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