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Hydrodynamic Drag Reduction for Underwater and Surface Vehicles


Project Description

The hydrodynamic drag experienced by moving underwater and surface vehicles can have a significant impact on their mission energy budgets in to propelling them through the oceanic fluidic medium, with the drag and the required power increasing non-linearly with the speed of travel. The proposed topic of research is to; comprehensively investigate relevant mechanisms (e.g. vehicle’s shape, length, type of flow, speed, etc.) contributing to the drag, their level of impact on the overall drag experienced, methods of mitigating drag using technological advances in materials, deposition and manufacturing techniques, e.g. to actively change the surface smoothness with speed. The development of robust, easy-to-use, economical surveillance techniques for monitoring the state of surface smoothness/corrosion in direct contact with oceanic water to aid in long-term maintenance of the vehicle would also be an area of interest.

Successful candidates would have a strong background in engineering and preference would be given to those with good understanding of fluid mechanics, surface science, tribology and materials. This project will be funded by BAEsystems under the EPSRC iCASE scheme and will involve collaboration with BAESystems Maritime services at Portsmouth.

If you wish to discuss any details of the project informally, please contact prof Robert Wood, nCATS research group, Email: , Tel: +44 (0) 2380 59 4881.

To submit an application, click the link below to apply and select the programme - PhD in Engineering and the Environment. Please enter the title of the PhD Studentship in the application form.

Funding Notes

This studentship is only available to UK nationals due to restrictions by BAEsystems. It covers UK tuition fees and provides an annual tax-free stipend at the standard EPSRC rate, which is £14,777 for 2018/19.

How good is research at University of Southampton in General Engineering?

FTE Category A staff submitted: 192.23

Research output data provided by the Research Excellence Framework (REF)

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