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Lookup NU author(s): Dr Sadegh NadimiORCiD, Joao Mendes, Dr Agostino BrunoORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials via X-ray micro-computed tomography (µCT) observations. X-ray µCT images were taken on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to drainage and soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were obtained at different saturation states ranging from fully brine saturated to air dry conditions with 6.2 μm voxel size resolution. The data acquisition and pre-processing are here described while all data, a total of 48 tomograms, are made publicly available. The combined dataset offers new opportunities to study the influence of surface roughness and particle morphology on capillary actions as well as supporting validation of pore-scale models of multiphase flow in granular materials.
Author(s): Nadimi A, Mendes J, López A, Schröer L, Manoorkar A, Ellman A, Cnudde V, Bruno AW
Publication type: Article
Publication status: Published
Journal: Scientific Data
Year: 2024
Volume: 11
Online publication date: 16/01/2024
Acceptance date: 05/01/2024
Date deposited: 17/01/2024
ISSN (electronic): 2052-4463
Publisher: Nature Publishing Group
URL: https://doi.org/10.1038/s41597-024-02925-w
DOI: 10.1038/s41597-024-02925-w
Data Access Statement: Image analysis is performed using the open-source software Fiji-ImageJ (1.53c) and MATLAB (R2021a). Shape characterisation of particles and calculation of shape descriptor parameters including surface roughness and sphericity were performed utilising the SHAPE code by Angelidakis et al. publicly available from the link below: https://github.com/vsangelidakis/SHAPE.
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