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  Computational investigation of aerodynamic characteristics of a morphing wing configuration


   Faculty of Engineering, Computing and the Environment

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Smart structures technology, particularly the bio-inspired morphing and multifunctional wing architectures are among the most promising technologies for the improvement of aerodynamic performance in large civil aircraft. The controlled adaptation of the wing shape to external operative conditions naturally enables the maximization of aircraft aerodynamic efficiency within the full flight envelope accompanied with significant reduction of fuel consumption and pollutant emissions.

The morphing wing design has exhibited significant influence on aircraft performance, such as aerodynamic, aeroacoustic, and aeroelastic characteristics. It is of fundamental importance to understand fully the underlying mechanisms of these characteristics in order to optimize morphing structures design and to accelerate their technical maturity. However, these characteristics of morphing structures are still unclear due to the lack of in-depth research.

Therefore, the proposed project aims to discover fundamental flow physics and the associated aerodynamic and aeroacoustic characteristics of a morphing wing configuration at static and dynamic morphing conditions. More specifically, a variable camber morphing configuration will be considered in the design, an advanced scale-resolving turbulence modelling technique will be developed to perform a thorough analysis on the static/dynamic morphing characteristics. The resulting research data could be used for further aeroelastic characteristics investigations. The research outcome will contribute to the development of smart structures technology for sustainable aviation, wind energy and emerging transport platforms development, such as morphing wing UAVs.

This project will require a sound understanding of aircraft aerodynamics, computational technologies (CFD), as well as good modelling skills. It would particularly suit a graduate in Aerospace Engineering, Mechanical Engineering, or equivalent areas. Detailed background knowledge on morphing wing is not required, but enthusiasm, flexibility and motivation to success are essential.


Engineering (12)

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