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Tomography data for interparticle contact detection analysis in spheroidal granular packings

Tomography data for interparticle contact detection analysis in spheroidal granular packings
Tomography data for interparticle contact detection analysis in spheroidal granular packings
This collection contains a series of synchrotron XCT scans on a hexagonal close-packed arrangement of soda-glass pellets. The field of view (FOV) diameter is 68.9 mm in diameter, approximately, and the nominal individual pellet diameter is 10 mm. The detector pixel size is 21 microns for all scans. The pellets were arranged in three horizontal lattices (layers). The middle and top lattices were separated by a layer of polyethylene film (cling film), while the bottom and middle layer were fully-contacting. Each file corresponds to a scan of either the bottom contacting or top non-contacting lattice pair. Thus, each filename includes a 'top' and 'bot' identifier. Acquisition parameters (number of projections, exposure time per projection, rotation range and sample position) were varied to achieve different image qualities and are included in 'README.txt'. All but scan A5 were local scans; scan A5 is a full-field scan acquired using the 'half-acquisition' method. Tomographic reconstruction was carried out using filtered back-projection in Savu. After reconstruction, a 3D median filter (kernel size = 2) and an anisotropic diffusion filter (diffusion threshold = 100; iterations = 2) were used to reduce noise. Data was acquired using Beamline I12-JEEP at Diamond Light Source (proposal NT26307-1). Please read README.txt Copyright 2021 Diamond Light Source Ltd. Licensed under the Apache License, Version 2.0.
Zenodo
Atwood, Robert
853929bc-679d-47bb-8ba8-acd139fc857e
Ahmed, Sharif
37570e92-ba6b-4e03-9144-c70fa7722c51
Alvarez-Borges, Fernando
5512cdfd-6ad3-475f-8aec-2fc767607314
Atwood, Robert
853929bc-679d-47bb-8ba8-acd139fc857e
Ahmed, Sharif
37570e92-ba6b-4e03-9144-c70fa7722c51
Alvarez-Borges, Fernando
5512cdfd-6ad3-475f-8aec-2fc767607314

(2021) Tomography data for interparticle contact detection analysis in spheroidal granular packings. Zenodo doi:10.5281/zenodo.5806270 [Dataset]

Record type: Dataset

Abstract

This collection contains a series of synchrotron XCT scans on a hexagonal close-packed arrangement of soda-glass pellets. The field of view (FOV) diameter is 68.9 mm in diameter, approximately, and the nominal individual pellet diameter is 10 mm. The detector pixel size is 21 microns for all scans. The pellets were arranged in three horizontal lattices (layers). The middle and top lattices were separated by a layer of polyethylene film (cling film), while the bottom and middle layer were fully-contacting. Each file corresponds to a scan of either the bottom contacting or top non-contacting lattice pair. Thus, each filename includes a 'top' and 'bot' identifier. Acquisition parameters (number of projections, exposure time per projection, rotation range and sample position) were varied to achieve different image qualities and are included in 'README.txt'. All but scan A5 were local scans; scan A5 is a full-field scan acquired using the 'half-acquisition' method. Tomographic reconstruction was carried out using filtered back-projection in Savu. After reconstruction, a 3D median filter (kernel size = 2) and an anisotropic diffusion filter (diffusion threshold = 100; iterations = 2) were used to reduce noise. Data was acquired using Beamline I12-JEEP at Diamond Light Source (proposal NT26307-1). Please read README.txt Copyright 2021 Diamond Light Source Ltd. Licensed under the Apache License, Version 2.0.

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More information

Published date: 27 December 2021

Identifiers

Local EPrints ID: 473299
URI: http://eprints.soton.ac.uk/id/eprint/473299
PURE UUID: d783cb97-7b31-4ffc-a382-815e29fe0be2
ORCID for Sharif Ahmed: ORCID iD orcid.org/0000-0002-3290-3592
ORCID for Fernando Alvarez-Borges: ORCID iD orcid.org/0000-0002-6940-9918

Catalogue record

Date deposited: 13 Jan 2023 17:54
Last modified: 02 Aug 2023 02:16

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Contributors

Contributor: Robert Atwood
Contributor: Sharif Ahmed ORCID iD
Contributor: Fernando Alvarez-Borges ORCID iD

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