Back to search results

PhD Studentship: High Order CFD of Secondary Air System in Turbines

University of Bath - Mechanical Engineering

Qualification Type: PhD
Location: Bath
Funding for: UK Students, EU Students
Funding amount: £14,777 maintenance stipend, Home/EU tuition fees, training support fee of £1,000 per annum for up to 3.5 years
Hours: Full Time
Placed On: 9th February 2019
Closes: 30th April 2019

Supervisor name: Dr Mauro Carnevale

Email contact: 

The growing demand for air travel and concerns about its environmental impact demands urgent action. The scientific community has acted by fixing milestones to be achieved within 2015-2025: a reduction of 75% in NOx emission and the improvement of 70% in efficiency in terms of Specific Fuel Consumption (SFC).

Turbine rotor disks are one of the most highly stressed components in the modern aero-engine. The hot flow in the turbine annulus is characterised by strong unsteadiness, and there is the risk of damaging the disks blade due the leakage of hot streams inside cavities through the seals. An effective way to control the temperature in blade disks is to purge cold flow inside the cavities. This constitutes what is generally known as secondary air system. Both academic and industrial worlds are currently investigating fundamental mechanisms involved in such systems.

The proposed project will be developed within the Turbomachinery Research Centre (TRC) at University of Bath, which is a leading group in the investigation of secondary air systems. The centre is worldwide known for the development of theoretical models and experimental facilities for the investigation of the flow in rotating cavities in turbines.

The project involves the development and improvement of the state of the art CFD techniques (LES-DES) starting on the basis of a well-established and validated unstructured CFD in-house solver available at University of Bath.  CFD approaches such as U-RANS simulations have been the workhorse tool to design a wide range of components in turbomachinery, but have demonstrated clear limitations in catching the structures governing the flow inside the cavities.  The successful candidate will aim to identify the role of the large scale flow structures in cavities and will provide the key for a better understanding of the results collected in the experiments carried out at TRC.

The successful applicant will work in a friendly and multi-disciplinary environment. The work will be carried out in close collaboration with industrial partners such as Siemens and Safran.  

Informal enquiries should be directed to Dr Mauro Carnevale :

Formal applications should be made via the University of Bath’s online application form for a PhD in Mechanical Engineering. Please ensure that you state the full project title and lead supervisor name on the application form.

More information about applying for a PhD at Bath may be found here:

The successful applicant will ideally have graduated (or be due to graduate) with an undergraduate Masters first class degree or MSc distinction (or equivalent).  English language requirements must be met at the time of application to be considered for funding.

Expected start date: 30th September 2019

This project is eligible for inclusion in funding rounds scheduled for end of November 2018, January 2019, February 2019, March 2019 and April 2019.  A full application must have been submitted before inclusion in a funding round.


Funding will cover Home/EU tuition fees, a maintenance stipend (£14,777 pa (2018/19 rate)) and a training support fee of £1,000 per annum for up to 3.5 years. Early application is strongly recommended.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):


PhD tools
More PhDs from University of Bath

Show all PhDs for this organisation …

More PhDs like this
Join in and follow us

Browser Upgrade Recommended has been optimised for the latest browsers.

For the best user experience, we recommend viewing on one of the following:

Google Chrome Firefox Microsoft Edge