Two-dimensional SEM image-based analysis of coal porosity and its pore structure
Abstract A quantitative analysis of the porosity, pore size distribution, and fractal dimensions of pores is significant for studying the pore structure characteristics of coal. This study utilized 12 anthracite coal samples from the Sihe mining area to explore the pore structure characteristics of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-02-01
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| Series: | International Journal of Coal Science & Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40789-020-00301-8 |
| _version_ | 1818597695381569536 |
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| author | Guangui Zou Jiasheng She Suping Peng Quanchun Yin Hongbin Liu Yuyan Che |
| author_facet | Guangui Zou Jiasheng She Suping Peng Quanchun Yin Hongbin Liu Yuyan Che |
| author_sort | Guangui Zou |
| collection | DOAJ |
| description | Abstract A quantitative analysis of the porosity, pore size distribution, and fractal dimensions of pores is significant for studying the pore structure characteristics of coal. This study utilized 12 anthracite coal samples from the Sihe mining area to explore the pore structure characteristics of the coal therein. Hundred randomly selected points on each sliced coal sample were imaged via scanning electron microscopy, and a total of 1200 images were used for the analysis. The porosity and fractal dimensions of the coal samples were analyzed via digital image processing and box-counting dimension methods. This method is characterized by extensive graphical analysis, and the results are based on statistical methods. These were also used to analyze the structural and development characteristics of the microscopic pores in the coal. The results reveal that the surface porosity obtained via digital image processing was 16.11% lower than that measured experimentally. The fractal dimension and porosity of the pore surface were fitted to a natural logarithmic curve. The rate of change in the pore fractal dimension depends on the porosity such that, to some degree, a greater porosity is associated with more complex pore structures, a higher degree of micropore development, and improved pore connectivity. |
| first_indexed | 2024-12-16T11:51:53Z |
| format | Article |
| id | doaj.art-8b27bca0e1d44ec19b99d18a3d4a5ca8 |
| institution | Directory Open Access Journal |
| issn | 2095-8293 2198-7823 |
| language | English |
| last_indexed | 2024-12-16T11:51:53Z |
| publishDate | 2020-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Coal Science & Technology |
| spelling | doaj.art-8b27bca0e1d44ec19b99d18a3d4a5ca82022-12-21T22:32:40ZengSpringerOpenInternational Journal of Coal Science & Technology2095-82932198-78232020-02-017235036110.1007/s40789-020-00301-8Two-dimensional SEM image-based analysis of coal porosity and its pore structureGuangui Zou0Jiasheng She1Suping Peng2Quanchun Yin3Hongbin Liu4Yuyan Che5State Key Laboratory of Coal Resources and Safe MiningCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, BeijingState Key Laboratory of Coal Resources and Safe MiningCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, BeijingCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, BeijingCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, BeijingAbstract A quantitative analysis of the porosity, pore size distribution, and fractal dimensions of pores is significant for studying the pore structure characteristics of coal. This study utilized 12 anthracite coal samples from the Sihe mining area to explore the pore structure characteristics of the coal therein. Hundred randomly selected points on each sliced coal sample were imaged via scanning electron microscopy, and a total of 1200 images were used for the analysis. The porosity and fractal dimensions of the coal samples were analyzed via digital image processing and box-counting dimension methods. This method is characterized by extensive graphical analysis, and the results are based on statistical methods. These were also used to analyze the structural and development characteristics of the microscopic pores in the coal. The results reveal that the surface porosity obtained via digital image processing was 16.11% lower than that measured experimentally. The fractal dimension and porosity of the pore surface were fitted to a natural logarithmic curve. The rate of change in the pore fractal dimension depends on the porosity such that, to some degree, a greater porosity is associated with more complex pore structures, a higher degree of micropore development, and improved pore connectivity.https://doi.org/10.1007/s40789-020-00301-8Coal porositySEMPore structureFractal dimensionsDigital image processing |
| spellingShingle | Guangui Zou Jiasheng She Suping Peng Quanchun Yin Hongbin Liu Yuyan Che Two-dimensional SEM image-based analysis of coal porosity and its pore structure International Journal of Coal Science & Technology Coal porosity SEM Pore structure Fractal dimensions Digital image processing |
| title | Two-dimensional SEM image-based analysis of coal porosity and its pore structure |
| title_full | Two-dimensional SEM image-based analysis of coal porosity and its pore structure |
| title_fullStr | Two-dimensional SEM image-based analysis of coal porosity and its pore structure |
| title_full_unstemmed | Two-dimensional SEM image-based analysis of coal porosity and its pore structure |
| title_short | Two-dimensional SEM image-based analysis of coal porosity and its pore structure |
| title_sort | two dimensional sem image based analysis of coal porosity and its pore structure |
| topic | Coal porosity SEM Pore structure Fractal dimensions Digital image processing |
| url | https://doi.org/10.1007/s40789-020-00301-8 |
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