Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT
| Autor: | Jianli Yang, Yudan Wang, Yushuang Yang, Haipeng Wang, Yihang Nie, Jia Jing |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Length scale
Materials science Article Subject lcsh:Medicine Mineralogy computer.software_genre lcsh:Technology General Biochemistry Genetics and Molecular Biology law.invention law Voxel Coal lcsh:Science Image resolution General Environmental Science lcsh:T business.industry lcsh:R Resolution (electron density) General Medicine Subpixel rendering Synchrotron Characterization (materials science) lcsh:Q Data mining business computer Research Article |
| Zdroj: | The Scientific World Journal The Scientific World Journal, Vol 2015 (2015) |
| ISSN: | 1537-744X 2356-6140 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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