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Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm
Porous materials are of great interest in multiple applications due to their usefulness in energy conversion devices and their ability to modify structural and diffusive properties. Geometric tortuosity plays an important role in characterizing the complexity of a porous medium. The literature on se...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663496/ https://www.ncbi.nlm.nih.gov/pubmed/36376348 http://dx.doi.org/10.1038/s41598-022-23643-6 |
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author | Ávila, Joseph Pagalo, Javier Espinoza-Andaluz, Mayken |
author_facet | Ávila, Joseph Pagalo, Javier Espinoza-Andaluz, Mayken |
author_sort | Ávila, Joseph |
collection | PubMed |
description | Porous materials are of great interest in multiple applications due to their usefulness in energy conversion devices and their ability to modify structural and diffusive properties. Geometric tortuosity plays an important role in characterizing the complexity of a porous medium. The literature on several occasions has related it as a parameter dependent on porosity only. However, due to its direct relationship with the morphology of the medium, a deeper analysis is necessary. For this reason, in the present study, the analysis of the geometric tortuosity is proposed considering the porosity and the pore size distribution. Geometric tortuosity in artificially generated digital porous media is estimated using the A-star algorithm and the Pore Centroid method. By performing changes in the size of the medium and the distribution of the pore size, results are obtained that indicate that the geometric tortuosity does not only depend on the porosity. By maintaining the same porosity, the geometric tortuosity increases if the pore size is reduced. Similarly, these pore size effects are greater if the size of the medium is reduced. The A-star algorithm was found to be more suitable to characterize the majority of paths within the half-pore. On the other hand, to increase the size, the Pore Centroid method is the most appropriate. Finally, three types of correlations were generated relating tortuosity with porosity and pore size. All the correlations were determined with 95% of interval confidence. |
format | Online Article Text |
id | pubmed-9663496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96634962022-11-15 Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm Ávila, Joseph Pagalo, Javier Espinoza-Andaluz, Mayken Sci Rep Article Porous materials are of great interest in multiple applications due to their usefulness in energy conversion devices and their ability to modify structural and diffusive properties. Geometric tortuosity plays an important role in characterizing the complexity of a porous medium. The literature on several occasions has related it as a parameter dependent on porosity only. However, due to its direct relationship with the morphology of the medium, a deeper analysis is necessary. For this reason, in the present study, the analysis of the geometric tortuosity is proposed considering the porosity and the pore size distribution. Geometric tortuosity in artificially generated digital porous media is estimated using the A-star algorithm and the Pore Centroid method. By performing changes in the size of the medium and the distribution of the pore size, results are obtained that indicate that the geometric tortuosity does not only depend on the porosity. By maintaining the same porosity, the geometric tortuosity increases if the pore size is reduced. Similarly, these pore size effects are greater if the size of the medium is reduced. The A-star algorithm was found to be more suitable to characterize the majority of paths within the half-pore. On the other hand, to increase the size, the Pore Centroid method is the most appropriate. Finally, three types of correlations were generated relating tortuosity with porosity and pore size. All the correlations were determined with 95% of interval confidence. Nature Publishing Group UK 2022-11-14 /pmc/articles/PMC9663496/ /pubmed/36376348 http://dx.doi.org/10.1038/s41598-022-23643-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ávila, Joseph Pagalo, Javier Espinoza-Andaluz, Mayken Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm |
title | Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm |
title_full | Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm |
title_fullStr | Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm |
title_full_unstemmed | Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm |
title_short | Evaluation of geometric tortuosity for 3D digitally generated porous media considering the pore size distribution and the A-star algorithm |
title_sort | evaluation of geometric tortuosity for 3d digitally generated porous media considering the pore size distribution and the a-star algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663496/ https://www.ncbi.nlm.nih.gov/pubmed/36376348 http://dx.doi.org/10.1038/s41598-022-23643-6 |
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