A robust approach for determination of the macro-porous volume fraction of soils with X-ray computed tomography and an image processing protocol

2013 ◽  
Vol 64 (3) ◽  
pp. 298-307 ◽  
Author(s):  
S. D. Keyes ◽  
R. P. Boardman ◽  
A. Marchant ◽  
T. Roose ◽  
I. Sinclair
Keyword(s):  
Computed Tomography ◽  
Image Processing ◽  
Volume Fraction ◽  
Robust Approach ◽  
X Ray ◽  
Porous Volume ◽  
X Ray Computed

scholarly journals Structural and Morphological Quantitative 3D Characterisation of Ammonium Nitrate Prills by X-Ray Computed Tomography

Materials ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1230
Author(s):  
Fabien Léonard ◽  
Zhen Zhang ◽  
Holger Krebs ◽  
Giovanni Bruno
Keyword(s):  
Computed Tomography ◽  
Specific Surface ◽  
Ammonium Nitrate ◽  
Surface Area ◽  
Specific Surface Area ◽  
Volume Fraction ◽  
Fuel Oil ◽  
X Ray ◽  
Oil Retention ◽  
X Ray Computed

The mixture of ammonium nitrate (AN) prills and fuel oil (FO), usually referred to as ANFO, is extensively used in the mining industry as a bulk explosive. One of the major performance predictors of ANFO mixtures is the fuel oil retention, which is itself governed by the complex pore structure of the AN prills. In this study, we present how X-ray computed tomography (XCT), and the associated advanced data processing workflow, can be used to fully characterise the structure and morphology of AN prills. We show that structural parameters such as volume fraction of the different phases and morphological parameters such as specific surface area and shape factor can be reliably extracted from the XCT data, and that there is a good agreement with the measured oil retention values. Importantly, oil retention measurements (qualifying the efficiency of ANFO as explosives) correlate well with the specific surface area determined by XCT. XCT can therefore be employed non-destructively; it can accurately evaluate and characterise porosity in ammonium nitrate prills, and even predict their efficiency.

Novel Application of X-ray Computed Tomography:  Determination of Gas/Liquid Contact Area and Liquid Holdup in Structured Packing

2007 ◽  
Vol 46 (17) ◽  
pp. 5734-5753 ◽  
Author(s):  
Christian W. Green ◽  
John Farone ◽  
Julie K. Briley ◽  
R. Bruce Eldridge ◽  
Richard A. Ketcham ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Contact Area ◽  
Liquid Holdup ◽  
Structured Packing ◽  
X Ray ◽  
X Ray Computed

Determination of 3D porosity in steel fibre reinforced SCC beams using X-ray computed tomography

2014 ◽  
Vol 68 ◽  
pp. 333-340 ◽  
Author(s):  
Tomasz Ponikiewski ◽  
Jacek Katzer ◽  
Monika Bugdol ◽  
Marcin Rudzki
Keyword(s):  
Computed Tomography ◽  
Steel Fibre ◽  
X Ray ◽  
X Ray Computed

Determination of Diffusion Profiles in Altered Wellbore Cement Using X-ray Computed Tomography Methods

2014 ◽  
Vol 48 (12) ◽  
pp. 7094-7100 ◽  
Author(s):  
Harris E. Mason ◽  
Stuart D. C. Walsh ◽  
Wyatt L. DuFrane ◽  
Susan A. Carroll
Keyword(s):  
Computed Tomography ◽  
X Ray ◽  
X Ray Computed ◽  
Diffusion Profiles

Flows Through Real Porous Media: X-Ray Computed Tomography, Experiments, and Numerical Simulations

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Wim-Paul Breugem ◽  
Vincent van Dijk ◽  
René Delfos
Keyword(s):  
Computed Tomography ◽  
Porous Medium ◽  
Ct Scan ◽  
Numerical Simulations ◽  
Volume Fraction ◽  
Solid Volume Fraction ◽  
Immersed Boundary ◽  
Immersed Boundary Methods ◽  
X Ray ◽  
X Ray Computed

Two different direct-forcing immersed boundary methods (IBMs) were applied for the purpose of simulating slow flow through a real porous medium: the volume penalization IBM and the stress IBM. The porous medium was a random close packing of about 9000 glass beads in a round tube. The packing geometry was determined from an X-ray computed tomography (CT) scan in terms of the distribution of the truncated solid volume fraction (either 0 or 1) on a three-dimensional Cartesian grid. The scan resolution corresponded to 19.3 grid cells over the mean bead diameter. A facility was built to experimentally determine the permeability of the packing. Numerical simulations were performed for the same packing based on the CT scan data. For both IBMs the numerically determined permeability based on the Richardson extrapolation was just 10% lower than the experimentally found value. As expected, at finite grid resolution the stress IBM appeared to be the most accurate IBM.

INVESTIGATION OF POLYMER COMPOSITE MATERIAL SAMPLES BY X-RAY COMPUTED TOMOGRAPHY AND PROCESSING OF TOMOGRAMS WITH THE IMAGE OF THE VOLUME FRACTION OF POROSITY

2021 ◽  
pp. 105-113
Author(s):  
A.A. Demidov ◽  
◽  
O.A. Krupnina ◽  
N.A. Mikhaylova ◽  
E.I. Kosarina ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Polymer Composite ◽  
Volume Fraction ◽  
Filter Material ◽  
Polymer Composite Material ◽  
Tomographic Images ◽  
X Ray ◽  
X Ray Computed ◽  
Porosity Volume Fraction

The question of the quality of samples made of polymer composite materials and its verification by x-ray computed tomography is considered. The capabilities of North Star Imaging X5000 tomograph were studied and the samples from PCM were examined for detection and evaluation of the porosity volume fraction. The factors influencing the accuracy of the estimation of the porosity volume fraction are investigated. Namely the size voxel, a filter material, quantity of projections. On the other hand, the size вокселя defines resolution of the digital image, the relation depends on a material of the applied filter a signal/noise, productivity of control worsens with growth of quantity of projections. The choice of optimum values of the listed parametres is necessary for satisfactory quality received tomographic images.

scholarly journals X-ray computed tomography of adhesive wicking into carbon foam

2017 ◽  
Vol 5 ◽  
Author(s):  
Sav Chima
Keyword(s):  
Computed Tomography ◽  
Image Processing ◽  
Carbon Foam ◽  
Adhesively Bonded ◽  
Laser Target ◽  
X Ray ◽  
X Ray Computed ◽  
Processing Software ◽  
Image Processing Software

Laser target components consist of multicomponent porous and nonporous materials that are adhesively bonded together. In order to assess the extent and quantity of adhesive wicking into porous foam, micro X-ray computed tomography (CT) and image processing software have been utilized. Two different laser target configurations have been assessed in situ and volume rendered images of the distribution and quantities of adhesive have been determined for each.

Sign in / Sign up

Export Citation Format

Share Document