Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT
Multiscale nondestructive characterization of coal microscopic physical structure can provide important information for coal conversion and coal-bed methane extraction. In this study, the physical structure of a coal sample was investigated by synchrotron-based multiple-energy X-ray CT at three beam...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/414262 |
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| author | Haipeng Wang Yushuang Yang Jianli Yang Yihang Nie Jing Jia Yudan Wang |
| author_facet | Haipeng Wang Yushuang Yang Jianli Yang Yihang Nie Jing Jia Yudan Wang |
| author_sort | Haipeng Wang |
| collection | DOAJ |
| description | Multiscale nondestructive characterization of coal microscopic physical structure can provide important information for coal conversion and coal-bed methane extraction. In this study, the physical structure of a coal sample was investigated by synchrotron-based multiple-energy X-ray CT at three beam energies and two different spatial resolutions. A data-constrained modeling (DCM) approach was used to quantitatively characterize the multiscale compositional distributions at the two resolutions. The volume fractions of each voxel for four different composition groups were obtained at the two resolutions. Between the two resolutions, the difference for DCM computed volume fractions of coal matrix and pores is less than 0.3%, and the difference for mineral composition groups is less than 0.17%. This demonstrates that the DCM approach can account for compositions beyond the X-ray CT imaging resolution with adequate accuracy. By using DCM, it is possible to characterize a relatively large coal sample at a relatively low spatial resolution with minimal loss of the effect due to subpixel fine length scale structures. |
| format | Article |
| id | doaj-art-ed1e75b00b2048b5b5bee51653d7d9bd |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ed1e75b00b2048b5b5bee51653d7d9bd2025-02-03T05:43:54ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/414262414262Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CTHaipeng Wang0Yushuang Yang1Jianli Yang2Yihang Nie3Jing Jia4Yudan Wang5Institute of Theoretical Physics and Department of Physics, Shanxi University, Taiyuan, Shanxi 030006, ChinaInstitute of Theoretical Physics and Department of Physics, Shanxi University, Taiyuan, Shanxi 030006, ChinaState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, Shanxi 030001, ChinaInstitute of Theoretical Physics and Department of Physics, Shanxi University, Taiyuan, Shanxi 030006, ChinaCollege of Physics & Electronics Engineering, Shanxi University, Taiyuan, Shanxi 030006, ChinaShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, ChinaMultiscale nondestructive characterization of coal microscopic physical structure can provide important information for coal conversion and coal-bed methane extraction. In this study, the physical structure of a coal sample was investigated by synchrotron-based multiple-energy X-ray CT at three beam energies and two different spatial resolutions. A data-constrained modeling (DCM) approach was used to quantitatively characterize the multiscale compositional distributions at the two resolutions. The volume fractions of each voxel for four different composition groups were obtained at the two resolutions. Between the two resolutions, the difference for DCM computed volume fractions of coal matrix and pores is less than 0.3%, and the difference for mineral composition groups is less than 0.17%. This demonstrates that the DCM approach can account for compositions beyond the X-ray CT imaging resolution with adequate accuracy. By using DCM, it is possible to characterize a relatively large coal sample at a relatively low spatial resolution with minimal loss of the effect due to subpixel fine length scale structures.http://dx.doi.org/10.1155/2015/414262 |
| spellingShingle | Haipeng Wang Yushuang Yang Jianli Yang Yihang Nie Jing Jia Yudan Wang Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT The Scientific World Journal |
| title | Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT |
| title_full | Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT |
| title_fullStr | Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT |
| title_full_unstemmed | Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT |
| title_short | Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT |
| title_sort | evaluation of multiple scale 3d characterization for coal physical structure with dcm method and synchrotron x ray ct |
| url | http://dx.doi.org/10.1155/2015/414262 |
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