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Optical self-sensing in composite materials

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  • Full or part time
    Dr S A Hayes
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

This project will extend work in to the development of novel glass reinforcing fibres that can be used as an optical sensing element for smart materials. So called self-sensing uses the reinforcing fibres to determine the state of the composite either during manufacture (cure monitoring) or through its life (condition monitoring), allowing the operator to investigate if problems arise. High refractive index glass, specifically tailored toward self-sensing using evanescent wave spectroscopy (for cure monitoring and chemical monitoring), and also as intensity-based sensors (for damage detection), have been developed at the University of Sheffield. In the project self-sensing composite materials will be produced and tested under varying conditions to determine the state of the composite, with a view to maximising the dimensions of the panels, while maintaining the sensitivity of the system. Production of glass fibres for the project will be undertaken, before panels are produced using vacuum assisted resin transfer moulding. The panels will then be tested using impact and mechanical testing methods.

Funding Notes

Candidates should be self-funded, sponsored, or applying for Scholarships. The University and the Faculty of Engineering award PhD scholarships for Home, EU, and International students on a competitive basis every year. The deadline for Faculty/University Scholarships is February each year - for more information see:

Candidates should have or expect to gain a good Honours degree with 2i or above in Materials Science and Engineering or related discipline.

If English is not your first language then you must have International English Language Testing Service (IELTS) average of 6.5 or above with at least 6.0 in each component.

Related Subjects

How good is research at University of Sheffield in Electrical and Electronic Engineering, Metallurgy and Materials?
Materials Science and Engineering

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

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