The research in this doctoral opportunity will analytical and numerically model the changes in modal responses of a structure under thermo-mechanical loads.
Sub-surface fatigue in mechanical structures affecting their fundamental modes within conventional sensing limits. As per published research, these effects are mostly investigated under dynamic loads on different boundary conditions. Analytical, numerical and empirical studies clearly indicate that the dissipated strain energy during crack propagation affects the modal values of the structure. However, there is still need to perform comprehensive research that can relate the mentioned parameters specifically under thermo-mechanical loads. The cyclic thermal loads along with dynamic loading may represent a more practical loading scheme as experienced on mechanical components or structures.
In this research, analytical and numerical modelling will be performed on a structure with different boundary conditions. The structure will be loaded at resonance with a cyclic thermal load applied at the ends. The changes in the modal responses of the structure will be determined during the subsurface crack initiation and propagation. The results will then be compared with the available empirical studies in the literature.
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At a glance
- Application deadlineOngoing
- Award type(s)PhD
- Duration of award3 years
- EligibilityUK, EU, Rest of world
- Reference numberSATM0020
Supervisor
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).
Also, the successful candidate is expected to:
- Have excellent analytical, reporting and communication skills
- Be self-motivated, independent and team player
- Be genuine enthusiasm for the subject and technology
- Have the willing to publish research findings in international journal.
Funding
Self-fundedCranfield Doctoral Network
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 and collaborate in a multi-disciplinary environment. 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 please contact Dr Muhammad Khan for an initial informal discussion about this opportunity.
For further information contact us today:
T: 44 (0)1234 758540
E: study@cranfield.ac.uk