Modal responses of mechanical structures under thermo-mechanical loads PhD Self-funded PhD opportunity

The research in this doctoral opportunity will investigate the relation between the strain energy and the change in modal response 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, an empirical setup will be developed by using a modal exciter and a mini cartridge or induction heating mechanism to provide both the dynamic and thermal loading on a mechanical structure simultaneously. Instrumentation involving accelerometers, acoustic sensors and data acquisition will allow the measurement of the modal response together with the dissipated strain energy. Empirical testing schemes will be pursued under a pre-set boundary condition and more likely to be in a free-fixed mode. The data acquired will be used to relate the strain energy and modal response of the structure when subjected to sub-surface fatigue.

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)
- Excellent analytical, reporting and communication skills
- Self-motivated, independent and a team player
- Genuine enthusiasm for the subject and technology
- Willingness to publish research findings in international journals

Funding: This is a self-funded PhD opportunity.

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 researchers to share ideas, identify opportunities for collaboration and create smaller communities of practice.

An important part of the research journey is developing key skills through the Doctoral Researchers' Core Development (DRCD) Programme, which comprises four 1-week units covering the key stages of the research journey. Workshops are held face to face, providing the opportunity to network and collaborate with peers.

Supervisors: Dr Muhammad Khan (Head of Center and Reader in Damage Mechanics) and Professor Andrew Starr (Professor of Maintenance Systems).