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Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media

[Image: see text] Due to the complex porous media structure of the longwall gob area, it has been difficult to determine the gas dispersion coefficient of oxygen when studying spontaneous coal combustion in the gob area. In this work, we first designed an experimental device for testing the gas diff...

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Autores principales: Qin, Yueping, Guo, Mingyan, Zhang, Fengjie, Li, Zimeng, Liu, Qiang, Tang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688218/
https://www.ncbi.nlm.nih.gov/pubmed/38046323
http://dx.doi.org/10.1021/acsomega.3c07628
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author Qin, Yueping
Guo, Mingyan
Zhang, Fengjie
Li, Zimeng
Liu, Qiang
Tang, Fei
author_facet Qin, Yueping
Guo, Mingyan
Zhang, Fengjie
Li, Zimeng
Liu, Qiang
Tang, Fei
author_sort Qin, Yueping
collection PubMed
description [Image: see text] Due to the complex porous media structure of the longwall gob area, it has been difficult to determine the gas dispersion coefficient of oxygen when studying spontaneous coal combustion in the gob area. In this work, we first designed an experimental device for testing the gas diffusion coefficient of porous media. Then, the distribution law of gas concentration in porous media under different particle size conditions was obtained by experiments. Subsequently, we established a dimensionless mathematical model of gas dispersion in porous media and developed a corresponding numerical simulator based on the finite volume method (FVM). The influence of the dimensionless gas dispersion coefficient on the gas concentration distribution was analyzed, and then a dimensionless inversion method of the gas dispersion coefficient was summarized and put forward. Finally, we obtained the values of the gas dispersion coefficient in the experimental device under different particle size conditions by inversion and discussed its effect on the gas dispersion behavior in porous media. The results show that (1) the distribution of gas concentration obtained from the experimental test and numerical simulation is consistent, which verifies the reliability of our work; (2) the dimensionless gas concentration is the highest near the injection point and gradually decreases along the depth and both sides of the test container; (3) with the increase of the dimensionless gas dispersion coefficient, the distance required for uniform gas mixing in the test container is gradually shortened and the gas dispersion coverage is wider; and (4) the larger pore space facilitates the dispersion behavior of the gas, and the gas dispersion coefficient shows a parabolic trend with the increase of porous medium particle size.
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spelling pubmed-106882182023-12-01 Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media Qin, Yueping Guo, Mingyan Zhang, Fengjie Li, Zimeng Liu, Qiang Tang, Fei ACS Omega [Image: see text] Due to the complex porous media structure of the longwall gob area, it has been difficult to determine the gas dispersion coefficient of oxygen when studying spontaneous coal combustion in the gob area. In this work, we first designed an experimental device for testing the gas diffusion coefficient of porous media. Then, the distribution law of gas concentration in porous media under different particle size conditions was obtained by experiments. Subsequently, we established a dimensionless mathematical model of gas dispersion in porous media and developed a corresponding numerical simulator based on the finite volume method (FVM). The influence of the dimensionless gas dispersion coefficient on the gas concentration distribution was analyzed, and then a dimensionless inversion method of the gas dispersion coefficient was summarized and put forward. Finally, we obtained the values of the gas dispersion coefficient in the experimental device under different particle size conditions by inversion and discussed its effect on the gas dispersion behavior in porous media. The results show that (1) the distribution of gas concentration obtained from the experimental test and numerical simulation is consistent, which verifies the reliability of our work; (2) the dimensionless gas concentration is the highest near the injection point and gradually decreases along the depth and both sides of the test container; (3) with the increase of the dimensionless gas dispersion coefficient, the distance required for uniform gas mixing in the test container is gradually shortened and the gas dispersion coverage is wider; and (4) the larger pore space facilitates the dispersion behavior of the gas, and the gas dispersion coefficient shows a parabolic trend with the increase of porous medium particle size. American Chemical Society 2023-11-14 /pmc/articles/PMC10688218/ /pubmed/38046323 http://dx.doi.org/10.1021/acsomega.3c07628 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Qin, Yueping
Guo, Mingyan
Zhang, Fengjie
Li, Zimeng
Liu, Qiang
Tang, Fei
Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media
title Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media
title_full Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media
title_fullStr Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media
title_full_unstemmed Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media
title_short Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media
title_sort gas dispersion coefficient test system and dimensionless inversion method for porous media
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688218/
https://www.ncbi.nlm.nih.gov/pubmed/38046323
http://dx.doi.org/10.1021/acsomega.3c07628
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