🎓 Mechanical Engineering PhDs
This PhD quantifies single-turbine wake turbulence to improve understanding of flow physics, aerodynamic interactions, and impacts on downwind turbines, combining numerical simulation, data analysis, and model developme…
This PhD develops advanced numerical models to simulate large deformation behaviour of drag embedment anchors (DEAs) used for floating offshore wind turbines, focusing on installation, post-installation performance, and…
This fully-funded PhD focuses on enhancing wind farm performance and lifespan using machine-learning models integrated with numerical simulations to optimise turbine cluster aerodynamics and operational efficiency.
This fully-funded PhD focuses on the long-term durability of fibre-reinforced polymer composites (FRPCs) in offshore wind turbine applications, combining experimental and computational approaches to predict degradation …
This fully-funded PhD investigates flow-induced vibrations (FIV) in subsea cables for offshore wind farms, developing robust numerical models to predict structural response under complex environmental loading and improv…
This fully-funded PhD focuses on numerical modelling of floating offshore wind moorings, exploring soil-structure interaction in variable seabed conditions. The research uses advanced computational techniques, including…
This fully-funded PhD develops a digital twin of the resin infusion and curing process in wind turbine blade manufacturing using embedded fibre optic sensors and physics-informed machine learning. The project aims to pr…
This fully-funded PhD focuses on developing advanced nanoparticle-reinforced polyurethane coatings to protect offshore wind turbine blades from erosion and environmental degradation. The project combines materials engin…
This PhD focuses on passive flow control strategies to suppress turbulent boundary layers and reduce skin-friction drag. Using wind tunnel experiments and advanced flow measurement techniques, the project explores funda…
This PhD develops computational and machine-learning models to optimise low-temperature plasma systems used in advanced manufacturing, with industrial collaboration from Oxford Instruments.
This PhD investigates the coupled aeroelastic and dynamic behaviour of deployable space structures, such as solar arrays and antennas, to understand and optimize deployment reliability, vibration modes, and operational …
This PhD investigates the coupled aeroelastic and aerodynamic behaviour of badminton shuttles, combining computational modelling and experimental analysis to predict flight stability, drag, and performance.