Data-constrained modelling of an anthracite coal physical structure with multi-spectrum synchrotron X-ray CT
► A DCM model with multi-spectrum synchrotron X-ray CT is used to characterise an anthracite coal physical structure. ► This model enables detection of mixed composition distributions at length scales smaller than X-ray CT resolution. ► The 3D physical structure of the sample is obtained and the par...
Gespeichert in:
Veröffentlicht in: | Fuel (Guildford) 2013-04, Vol.106, p.219-225 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | ► A DCM model with multi-spectrum synchrotron X-ray CT is used to characterise an anthracite coal physical structure. ► This model enables detection of mixed composition distributions at length scales smaller than X-ray CT resolution. ► The 3D physical structure of the sample is obtained and the partial volume effect is addressed with DCM. ► Voids and some minerals at length scales smaller than X-ray CT resolution have been detected and displayed.
A data-constrained modelling (DCM) approach with multi-spectrum synchrotron X-ray CT has been used to characterise the physical structure of Yangquan coal sample. Three sets of X-ray CT data have been acquired with monochromatic beam energies at 14, 18, and 30keV respectively. A DCM approach is used to derive compositional volume fractions on each voxel, by minimising the differences between the expected and CT reconstructed absorption coefficients with a nonlinear optimization algorithm. Voxel based 3D compositional maps are generated with colours and intensities representing compositions and volume fractions respectively. The results are relevant in quantitative modelling of coal-bed gas transportation and coal processing. |
---|---|
ISSN: | 0016-2361 1873-7153 |
DOI: | 10.1016/j.fuel.2012.11.079 |