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Directional dark-field X-ray imaging of composite materials

Directional dark-field X-ray imaging of composite materials
Directional dark-field X-ray imaging of composite materials
Dark-Field X-ray Imaging allows X-ray imaging systems to detect information about features in a sample which would otherwise be undetectably small. Scattering from these microstructures is detected rather than resolving them directly - if the features causing the scattering have some orientation, the scattering can be orientated. Directional dark-field imaging can be used to measure this, allowing information on the orientation to be measured. Speckle-Based Imaging is a technique capable of detecting these signals by using an object to create a random intensity pattern in the X-ray beam. Tracking how the sample modifies this pattern allows for phase-contrast and dark-field images to be extracted. In this thesis, we present a new algorithm for extracting the directional dark-field signal from speckle-based imaging data: the Directional Dark-Field modification to the Unified Modulated Pattern Analysis (DDF-UMPA) Algorithm. At our proof-of-principle synchrotron-based experiment, we show it can be used to measure the orientation of carbon fibres to within one degree of accuracy. We then optimise a customised liquid-metal-jet X-ray source based laboratory setup for speckle-based imaging. We demonstrate that the DDF-UMPA algorithm is compatible with this setup, before attempting to demonstrate the technique is compatible with a conventional, commercial, microfocus X-ray CT system. We show progress towards developing our own customised optical elements to pattern the beam. We then demonstrate compatibility with the periodic intensity patterns used in beam-tracking dark-field X-ray imaging systems. Many of the experiments described in this thesis use composite materials as samples in order to demonstrate the potential applications for directional (and scalar) dark-field imaging within this field. We demonstrate these techniques can be used to detect fibre orientations and detect low-velocity impact damage.
University of Southampton
Smith, Ronan
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Smith, Ronan
1fb08494-58d7-4532-8fcc-df7b02cd6369
Boardman, Richard
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Thibault, Pierre
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Sinclair, Ian
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Smith, Ronan (2023) Directional dark-field X-ray imaging of composite materials. University of Southampton, Doctoral Thesis, 101pp.

Record type: Thesis (Doctoral)

Abstract

Dark-Field X-ray Imaging allows X-ray imaging systems to detect information about features in a sample which would otherwise be undetectably small. Scattering from these microstructures is detected rather than resolving them directly - if the features causing the scattering have some orientation, the scattering can be orientated. Directional dark-field imaging can be used to measure this, allowing information on the orientation to be measured. Speckle-Based Imaging is a technique capable of detecting these signals by using an object to create a random intensity pattern in the X-ray beam. Tracking how the sample modifies this pattern allows for phase-contrast and dark-field images to be extracted. In this thesis, we present a new algorithm for extracting the directional dark-field signal from speckle-based imaging data: the Directional Dark-Field modification to the Unified Modulated Pattern Analysis (DDF-UMPA) Algorithm. At our proof-of-principle synchrotron-based experiment, we show it can be used to measure the orientation of carbon fibres to within one degree of accuracy. We then optimise a customised liquid-metal-jet X-ray source based laboratory setup for speckle-based imaging. We demonstrate that the DDF-UMPA algorithm is compatible with this setup, before attempting to demonstrate the technique is compatible with a conventional, commercial, microfocus X-ray CT system. We show progress towards developing our own customised optical elements to pattern the beam. We then demonstrate compatibility with the periodic intensity patterns used in beam-tracking dark-field X-ray imaging systems. Many of the experiments described in this thesis use composite materials as samples in order to demonstrate the potential applications for directional (and scalar) dark-field imaging within this field. We demonstrate these techniques can be used to detect fibre orientations and detect low-velocity impact damage.

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More information

Published date: 1 May 2023

Identifiers

Local EPrints ID: 476482
URI: http://eprints.soton.ac.uk/id/eprint/476482
PURE UUID: 958d73fa-3e46-4314-9b51-dc12c770a087
ORCID for Ronan Smith: ORCID iD orcid.org/0000-0002-5748-9295
ORCID for Richard Boardman: ORCID iD orcid.org/0000-0002-4008-0098
ORCID for Pierre Thibault: ORCID iD orcid.org/0000-0003-1278-8846

Catalogue record

Date deposited: 03 May 2023 17:43
Last modified: 17 Mar 2024 02:58

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Contributors

Author: Ronan Smith ORCID iD
Thesis advisor: Richard Boardman ORCID iD
Thesis advisor: Pierre Thibault ORCID iD
Thesis advisor: Ian Sinclair

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