PhD Studentship - Failure Models for Transmission Gears Health Monitoring

Cranfield University

The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics.

Lack of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing zone in a very complex manner and lead the modelling to an imperfect zone of assumptions. These complexities allow the researchers to use approximations for useful lifetime calculations.

Based on modelling approximations and assumptions, several models have been introduced in academic research domain. But still the models are failure specific and have considered surface failures (i.e. scuffing and pitting) and bending fatigue separately. Practically, there is a very high possibility that a gear is operated under an influence of both types of failures and hence reaches to its breakage well before the life estimated by a failure specific model. Due to this, a model considering the theoretical aspects of both types of failures can reflect more practicality of gear meshing and can provide more good estimation of useful life.

In this research, a theory will be postulated for the combined mode of gear failures. The theory will be supported by the basic gear failure mathematics and preliminary validation will be done by comparing the results with the existing failure theories. The theoretical mathematical representation will further be used to develop a gear testing simulation. This simulation will test the model on different combination of critical operational parameters. Finally, experimentation will be performed on real gears for the validation.

  • Application deadline: Ongoing
  • Award type(s): PhD
  • Duration of award 3 years
  • Eligibility: UK, EU, Rest of World

Supervisors: Dr Muhammad Khan and Professor Andrew Starr

Entry requirements

  • A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, and  manufacturing) with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average.
  • The potential to engage in innovative research and to complete the PhD within a three-year period of study.
  • A minimum of English language proficiency (IELTS overall minimum score of 6.5).

Funding: Self-funded

Doctoral Training Centre
Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This Network brings together both research students and staff, providing a platform for our researchers to share ideas, identify opportunities for collaboration and create smaller communities of practice. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply
Before completing the application documentation please contact Dr Muhammad Khan muhammad.a.khan@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

Share this PhD
     
  Share by Email   Print this job   More sharing options
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:

PhD

Location(s):

South East England