This PhD will develop new modelling / predictive algorithms to quantify the life expectancy of high speed rotating machines operating in a harsh environment. New “smart” technology will be developed to integrate these algorithms into the design of high-speed machines. The idea will be to investigate which parameters that can be readily monitored from the static part of the machine can be linked to parameters on the rotating part of the machine. The successful candidate will develop the models from finite element analysis backed up by validation through experimental testing and where necessary new ways of making the measurements will need to be defined.
These activities are part of a wider industry funded research programme focusing on the concept of more electric aircraft and as such the work will be supporting the reduction of weight and volume of the machine whilst improving the in-service reliability. Being able to reliably predict the point of failure sufficiently far in advance for action to be taken at the scheduled maintenance point, thus eliminating a costly unscheduled maintenance operation is the intent of this project.
PhD Specific Aims/Objectives
The first part of the PhD will develop the models of the high-speed rotating machine in a way that is capable of highlighting the machine’s deterioration with operating time.
The work will then go on to develop new, and refine the existing, ways of measuring the various operating parameters, voltage, current and temperature for example, of the high-speed machine during operation.
Finally, specific methods of collating and analysing the data recorded during the operation of the machine to compare with the models and give prediction of its life expectancy will be developed.
URL for further information:
The essential requirement is a good undergraduate degree (1st, 2:1 or equivalent) in any of the following: mechanical, electrical, aerospace, electro-mechanical, or mechatronics engineering (or a closely related subject).
Experience of any/all of the following areas would be advantageous to the successful candidate:
• Analysis of electro-mechanical systems
• Understanding of heat transfer concepts
• Modelling of dynamic systems
• Using sensors, instrumentation and data capture systems
Please contact Dr Drury, [email protected]
or phone 0117 9545390
For general enquiries, please email [email protected]
To apply for this studentship submit a PhD application using our online application system [www.bristol.ac.uk/pg-howtoapply]
Please ensure that in the Funding section you tick “I would like to be considered for a funding award from the Electrical & Electronic Engineering Department” and specify the title of the scholarship in the “other” box below with the name of the supervisor Dr Drury.
Closing date for applications: 1 September 2018