Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model
Abstract The Longwall top coal caving (LTCC) technology is regarded as one of the most crucial approaches for exploiting thick coal seams. A crucial and effective approach for improving the recovery rate of top coal and reducing coal resource losses in LTCC faces is to reasonably select process para...
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | Energy Science & Engineering |
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| Online Access: | https://doi.org/10.1002/ese3.1944 |
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| _version_ | 1841557215140380672 |
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| author | Yuming Huo Shaozhuo Wang Defu Zhu Zhonglun Wang |
| author_facet | Yuming Huo Shaozhuo Wang Defu Zhu Zhonglun Wang |
| author_sort | Yuming Huo |
| collection | DOAJ |
| description | Abstract The Longwall top coal caving (LTCC) technology is regarded as one of the most crucial approaches for exploiting thick coal seams. A crucial and effective approach for improving the recovery rate of top coal and reducing coal resource losses in LTCC faces is to reasonably select process parameters based on actual mining and geological conditions of different mines. The main focus of this paper is the engineering background of the 12,309 LTCC face in Wangjialing Coal Mine. A numerical model is developed using FALC3D and PFC3D software, employing a finite difference method and discrete element method. This model takes into account predetermined cutting and caving ratios, as well as drawing intervals. To examine the caving process and roof particles, three different drawing sequences were examined: sequential drawing, segmented sequential drawing, and intermittent drawing. The findings suggest that, in terms of the reset shape of the drawing body before individual and entire caving, the segmented sequential drawing method exhibits noticeable drawbacks compared to the other two methods. From the perspective of the drawing weight, following “closing drawing opening when seeing gangue”, the sequential drawing, segmented sequential drawing, and intermittent drawing methods can yield 32.42 t, 26.87 t, and 35.78 t of top coal, with corresponding recovery rates of 73.39%, 60.81%, and 82.97%. Therefore, it can be concluded that intermittent drawing is suitable for implementation on LTCC working face 12,309. |
| format | Article |
| id | doaj-art-29f50212c6ef49acbf2442e1965887c3 |
| institution | Kabale University |
| issn | 2050-0505 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj-art-29f50212c6ef49acbf2442e1965887c32025-01-06T14:45:33ZengWileyEnergy Science & Engineering2050-05052024-11-0112115200521010.1002/ese3.1944Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM modelYuming Huo0Shaozhuo Wang1Defu Zhu2Zhonglun Wang3School of Mining Engineering Taiyuan University of Technology Taiyuan ChinaWangjiashan Coal Mine Branch, Gansu Jingmei Energy Co., Ltd. Baiyin ChinaKey Laboratory of In‐situ Property‐improving Mining of Ministry of Education Taiyuan University of Technology Taiyuan ChinaKey Laboratory of In‐situ Property‐improving Mining of Ministry of Education Taiyuan University of Technology Taiyuan ChinaAbstract The Longwall top coal caving (LTCC) technology is regarded as one of the most crucial approaches for exploiting thick coal seams. A crucial and effective approach for improving the recovery rate of top coal and reducing coal resource losses in LTCC faces is to reasonably select process parameters based on actual mining and geological conditions of different mines. The main focus of this paper is the engineering background of the 12,309 LTCC face in Wangjialing Coal Mine. A numerical model is developed using FALC3D and PFC3D software, employing a finite difference method and discrete element method. This model takes into account predetermined cutting and caving ratios, as well as drawing intervals. To examine the caving process and roof particles, three different drawing sequences were examined: sequential drawing, segmented sequential drawing, and intermittent drawing. The findings suggest that, in terms of the reset shape of the drawing body before individual and entire caving, the segmented sequential drawing method exhibits noticeable drawbacks compared to the other two methods. From the perspective of the drawing weight, following “closing drawing opening when seeing gangue”, the sequential drawing, segmented sequential drawing, and intermittent drawing methods can yield 32.42 t, 26.87 t, and 35.78 t of top coal, with corresponding recovery rates of 73.39%, 60.81%, and 82.97%. Therefore, it can be concluded that intermittent drawing is suitable for implementation on LTCC working face 12,309.https://doi.org/10.1002/ese3.1944drawing sequencelongwall top coal cavingnumerical simulationshape of drawing bodytop coal recovery rate |
| spellingShingle | Yuming Huo Shaozhuo Wang Defu Zhu Zhonglun Wang Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model Energy Science & Engineering drawing sequence longwall top coal caving numerical simulation shape of drawing body top coal recovery rate |
| title | Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model |
| title_full | Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model |
| title_fullStr | Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model |
| title_full_unstemmed | Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model |
| title_short | Optimization of drawing sequence in longwall top coal caving mining through an FDM‐DEM model |
| title_sort | optimization of drawing sequence in longwall top coal caving mining through an fdm dem model |
| topic | drawing sequence longwall top coal caving numerical simulation shape of drawing body top coal recovery rate |
| url | https://doi.org/10.1002/ese3.1944 |
| work_keys_str_mv | AT yuminghuo optimizationofdrawingsequenceinlongwalltopcoalcavingminingthroughanfdmdemmodel AT shaozhuowang optimizationofdrawingsequenceinlongwalltopcoalcavingminingthroughanfdmdemmodel AT defuzhu optimizationofdrawingsequenceinlongwalltopcoalcavingminingthroughanfdmdemmodel AT zhonglunwang optimizationofdrawingsequenceinlongwalltopcoalcavingminingthroughanfdmdemmodel |