• University of Glasgow Featured PhD Programmes
  • University of Warwick Featured PhD Programmes
  • King Abdullah University of Science and Technology (KAUST) Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
  • University of Edinburgh Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
University of York Featured PhD Programmes
King Abdullah University of Science and Technology (KAUST) Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
IRB Barcelona Featured PhD Programmes
University of Reading Featured PhD Programmes

Gas Turbine Gas Path Diagnostics - the health of gas path components of gas turbine engines

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr Li
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Start Date: As soon as possible
Duration of award: 3 years
Supervisors:
Dr Yiguang Li – Senior Lecturer
Sponsored by Cranfield University, the studentship will provide full or partial funding for the candidate for three years

Applications are invited for a PhD studentship in the Centre for Propulsion Engineering, Cranfield University, in the area of gas turbine gas path diagnostics.

Cranfield has developed a unique methodology and software to analyze the health of gas path components of gas turbine engines. The research in this area at Cranfield will be a good starting point for the proposed project with collaboration with aerospace industry. The objective of the proposed research is to further develop the methodology in the area of gas path diagnostics and apply the technology to the health monitoring of a civil aero gas turbine turbofan engine. The critical components for the diagnostic analysis will be key gas path components of an engine, i.e. the compressors, the combustor and the turbines. This is to support the operation and maintenance of the engines with the objective to improve the availability and reduce the maintenance costs of the engines. Technology transfer will also be required in the project.

The developed engine diagnostic modules will be implemented into a special version of Cranfield Pythia software for the industrial client in order that the engine field data can be used directly for the analysis.
Close communication with the industrial client is expected to assist the student to get first-hand information and experience of gas turbine operation.

Entry requirements:
Applicants should have or expect to gain a UK 1st or upper 2nd class degree or equivalent in aeronautical or mechanical engineering. An MSc or experience in numerical modelling, thermodynamics, fatigue and fracture, gas turbine technology, and computer programming skills will be an advantage. The PhD candidate is expected to start as soon as possible.

How to apply:
For informal inquiry please contact: Dr Yiguang Li, Centre for Propulsion Engineering, by email at i.y.li@cranfield.ac.uk
If you are eligible to apply for this research studentship, please complete the online application form.
For further information contact us today:
T: 44 (0)1234 758008
E: enquiries@cranfield.ac.uk

Funding Notes

The funding will cover the tuition fees and basic living expenses of an UK/EU PhD student for three years. It is open to all suitably qualified student candidates (including overseas students). For an overseas candidate, it will be expected that he or she will pay the shortfall of the total expenses.

References

For further information please contact: Dr Yiguang Li, Centre for Propulsion Engineering, by email at i.y.li@cranfield.ac.uk
Please send a CV to Dr Yiguang Li. You can also contact Dr Li by email for an informal discussion if required.

How good is research at Cranfield University in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?

FTE Category A staff submitted: 156.70

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

Click here to see the results for all UK universities
Share this page:

Cookie Policy    X