The project aims to develop numerical framework which can be applied to various multiphase flow problems (gas-liquid, gas-liquid-solid, etc.) in engineering and scientific research fields such as energy, environment and manufacturing. Although there are huge demands of practical multiphase flow simulations, there is no established numerical framework which can simulate a wide variety of practical multiphase flow problems.
The supervisor research team already has highly unique and world-leading numerical framework for multiphase flow simulations (see http://goo.gl/CYE1RA
). The PhD student can work based on the existing numerical framework, and is expected to improve/modify the numerical framework and numerically study multiphase flow phenomena. Recently we also focus on machine learning to improve numerical algorithms and to analyse fluid phenomena, etc. The PhD student can select some of the following topics.
Possible research topics in numerical modelling:
1. Machine learning to improve numerical algorithms, to analyse fluid phenomena, etc.
2. Turbulence multiphase flows
3. Interactions between multiphase flows and structures
4. Contact angle modelling
5. High performance computing (massively parallel computing, GPU computing)
Possible research topics in fluid phenomena:
1. Energy: primary atomization, energy mining, cooling system (boiling), etc.
2. Environment: CO2 capturing, rain drop formations, heat transfer across ocean surfaces, Tsunami/flood damage predictions, etc.
3. Manufacturing: inkjet, coating, spray cooling, robotics, etc.
There are many other possible topics.
The applicants should have a strong background in mathematics (undergraduate 1st and 2nd year engineering mathematics level) and computer programming. Candidates from physics, mathematics, computer science as well as engineering are welcome.
You should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK.
Applicants with a Lower Second Class degree will be considered if they also have a master’s degree. Applicants with a minimum Upper Second Class degree and significant relevant non-academic experience are encouraged to apply.