Study of turbulence in fusion technology using high fidelity simulations

Details

A fully-funded PhD Studentship with an enhanced stipend of £2,500 for 3.5 years is available in the Department of Mechanical Engineering at the University of Sheffield to study turbulence in fusion technology using advanced computational fluid dynamics (CFD). The project is in collaboration with UKAEA and the Daresbury Laboratories at Science and Technology Facilities Council (STFC).  

Turbulence in the cooling system of a fusion machine such as the blanket is especially complex and its understanding and prediction is one of the major challenges facing the reactor design. The purpose of this project is to advance the understanding of the turbulence dynamics in a cooling system subjected to extremely strong heating and magnetic fields using direct numerical simulation (DNS). In particular, research will be carried out on the combined effects of magnatohydrodynamics (MHD), buoyancy and conjugate heat transfer in geometries relevant to fusion technology including the blankets or diverters. The PhD project will begin with the adaptation of an existing DNS code for fusion applications including the capacity of simulating the magnetic forces under various conditions. The turbulence subject to strong heating and MHD influences in a simple geometry will first be studied making use of recent advances in flow laminarisation and re-transition, and this will be followed by an investigation into more complex conditions and geometries that are directly relevant to fusion research facilities (such as CHIMERA at UKAEA) or component designs (such as those for STEP or DEMO).

Requirements:

The successful candidates are expected to hold a first class or upper second-class degree in engineering, physics or applied mathematics. Interests in CFD, computer programming and fusion technology are desirable but pre-knowledge and experience are not essential.

How to apply:

For further information and informal discussion please contact Professor Shuisheng He at [email protected]. To apply, please use our on-line PhD application form, including your CV and names of two referees and indicating on your form that you are replying to this advert.

Closing date for application: 2 May 2024 or when the position is filled.