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Fluid Dynamics PhD Projects in London

We have 7 Fluid Dynamics PhD Projects in London

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Showing 1 to 7 of 7
  Theoretical and computational modelling of airframe / propulsion interaction noise for reduced noise aircraft design
  Dr S Karabasov
Application Deadline: 31 January 2019
Community noise due to a rapid increase of conventional aircrafts as well as the new noise sources such as UAVs and the forthcoming urban air mobility vehicles have become of extreme public awareness.
  Measuring the space and time evolution of the geometric, kinematic and dynamic properties of oceanic breaking waves
  Dr A Callaghan
Application Deadline: 8 January 2019
The overarching goal of this project is to provide a better understanding and description of oceanic breaking waves for oceanographic, atmospheric science and engineering purposes.
  Development of hybrid energy recovery system to harvest energy from waste heat using TE materials
  Prof T Zhang, Dr H Hadavinia, Dr Y Lin
Applications accepted all year round
Over the past decade, there has been heightened interest in the field of thermoelectrics, driven by the need for more efficient materials for electronic refrigeration and power generation.
  Numerical simulation of Deflagration, Detonation and DDT in large scale inhomogeneous reactive mixtures
  Dr A Heidari, Dr S Dembele, Dr K Volkov
Applications accepted all year round
Demand for energy and petrochemical products has been on the raise in recent decades leading to huge production, transportation and storage infrastructures all around the world.
  Fire suppression capabilities of gas-like micromist
  Dr S Dembele, Dr K Volkov, Dr A Heidari
Applications accepted all year round
The proclamation of the Montreal protocol in 1987, phasing out ozone depleting halons as fire suppression agent has led to a worldwide research and development effort to find alternative systems.
  Ice accretion on wind turbine blades
  Dr Y Lin, Prof J Wang
Applications accepted all year round
The abundant wind resource in cold and high altitude regions in the world is attractive for the increasing demand for renewable wind power production.
  Coupling microfluidic-SANS/SAXS with machine learning for complex fluid discovery
  Dr J T Cabral
Applications accepted all year round
The main objective of the project is to develop and exploit emerging microfluidic and big data optimisation approaches, coupled with small angle scattering, in the context of complex fluids, or “formulations”.
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