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PhD Improving imaging methodologies for fibre-reinforced composite (CFRP) structures

PhD Improving imaging methodologies for fibre-reinforced composite (CFRP) structures

Project Overview

Fibre-reinforced composites are attractive in manufacturing, particularly automotive and aerospace, due to being lightweight and have high specific stiffness and strength. To minimise machining processes they are typically near-net shape formed from large sheets which leads to fibre spread, impacting anisotropy and can lead to weak points or components that are not fit for purpose.

X-ray imaging (X-ray computed tomography, XCT) provides a way to non-destructively inspect internal materials and geometries that would otherwise be inaccessible. Imaging CFRP has a few challenges
- The high aspect ratio of plates and forms are ill-suited for standard acquisition protocols resulting in image artefacts
- Maintaining a high resolution locally is essential to sufficiently observe fibre orientation, but is frequently difficult due to the typical size of CFRP plates and products

This project will develop novel acquisition protocols to tackle both of these issues, using the TESCAN X-ray CT system here at Warwick, and whom is a partner in this project. It will require both programming new geometries in the system, and applying existing reconstruction software to handle these geometries. No previous experience in X-ray imaging or image analysis is required, but the right candidate should be enthusiastic to learn both. As part of the project you will also complete placements at TESCAN in Ghent, Belgium, to enhance your research.

The studentship is based in the CiMAT group at WMG, University of Warwick (https://warwick.ac.uk/fac/sci/wmg/about/facilities/cimat/) which is also a spoke of the National Research Facility in X-ray CT (https://nxct.ac.uk/). The team is interdisciplinary with a focus on measurement applied to a number of fields; from aerospace and energy, to forensics and museums. Largely you will work with established software packages and toolkits which you will receive training, but candidates are expected to demonstrate interest in coding with experience in MATLAB, Python or similar. The project is suitable for engineering, physics, computer science or mathematics graduates with computational skills.

Essential and desirable criteria

Candidates should have a minimum of an upper second (2.1) honours degree

The project is suitable for engineering, physics, computer science or mathematics graduates with computational skills.

Funding and Eligibility

Standard PhD at UKRI rates: £15,609 plus £3,000 industrial top up per annum

Funding is available to eligible Home fee status and UK domicile EU students.

To apply

To apply please complete our online enquiry form and upload your CV.

Please ensure you meet the minimum requirements before filling in the online form.

Key Information:

Funding Source: EPSRC iCASE

Stipend: £18,609

Supporting company: TESCAN

Supervisor: Dr Jay Warnett & Prof Mark Williams

Available to UK nationals and Home fees students

Start date: June 2022