Imperial College London

Dr Samuel J Cooper

Faculty of EngineeringDyson School of Design Engineering

Lecturer
 
 
 
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Contact

 

samuel.cooper Website

 
 
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Location

 

ObservatorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cooper:2016:10.1016/j.softx.2016.09.002,
author = {Cooper, SJ and Bertei, A and Shearing, PR and Kilner, JA and Brandon, NP},
doi = {10.1016/j.softx.2016.09.002},
journal = {SoftwareX},
pages = {203--210},
title = {TauFactor: An open-source application for calculating tortuosity factors from tomographic data},
url = {http://dx.doi.org/10.1016/j.softx.2016.09.002},
volume = {5},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Cooper,SJ
AU - Bertei,A
AU - Shearing,PR
AU - Kilner,JA
AU - Brandon,NP
DO - 10.1016/j.softx.2016.09.002
EP - 210
PY - 2016///
SN - 2352-7110
SP - 203
TI - TauFactor: An open-source application for calculating tortuosity factors from tomographic data
T2 - SoftwareX
UR - http://dx.doi.org/10.1016/j.softx.2016.09.002
UR - http://hdl.handle.net/10044/1/40571
VL - 5
ER -