Applications are invited for a research studentship in the field of Computational Fluid Dynamics (CFD) simulation, leading to the award of a PhD degree.
The position is a collaboration between the Department of Mechanical, Aerospace and Civil Engineering (MACE) and Rolls-Royce.
In this project, you will develop the next generation of CFD models of boiling from the individual bubbles to the large-scale fluid flow of engineering components.
Understanding the boiling process is of great importance for the design and operation of high-heat flux engineering systems, such as nuclear reactors and processor chips, which rely on boiling to achieve high surface heat fluxes required for their operation. A key requirement of these designs is to avoid the breakdown (Critical Heat Flux - "CHF") in heat transfer performance that can occur when a boiling surface becomes blanketed with vapour. CHF is the single most important design constraint of high-heat flux systems and the ability to predict and understand CHF is correspondingly vital to the design and safe operation of such systems. Modern, fundamental CFD techniques allow us to predict the behaviour of the liquid-vapour interface ("Interface Capturing") in boiling and to compute directly the heat flux at the solid surface: the power of such methods enables simulation of CHF from first principles in any operating condition.
Numerical model development is at the core of your PhD work, during which you will develop novel techniques for Interface Capturing simulation and apply the new methods to predictive modelling of CHF. You will engage in collaboration with leading scientists in the area, and with researchers and engineers of the Rolls-Royce Nuclear University Technology Centre (UTC) at the University of Manchester. You will collaborate with academic partners at Kyung Hee University (South Korea) for experimental validation of your simulations and at Paul Scherrer Institute (Switzerland) for numerical model development and testing. The collaborations will create opportunities to go on overseas research visits/placements and secondments to the industrial partner.
You will be an enthusiastic and self-motivated person who meets the academic requirements for enrolment for the PhD degree at the University of Manchester. The successful candidate holds a MSc or equivalent degree in engineering, physics or mathematics. Essential requirements are a basic understanding of computational mechanics, good knowledge of at least one programming language, and some experience with CFD simulation tools (e.g., codes STAR-CCM+, OpenFOAM, ANSYS Fluent).
For further details of the post contact Dr Giovanni Giustini email@example.com. Interested applicants should send an up-to-date curriculum vitae to Dr Giovanni Giustini. Suitable candidates will be asked to complete the online application form to be considered formally (link at https://www.mace.manchester.ac.uk/study/postgraduate-research/how-to-apply/). Please contact the admissions team at firstname.lastname@example.org with any queries regarding the application process.
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