Supervisor: Dr Lindsay-Marie Armstrong
Particle systems are ubiquitous across the environmental (air particles, riverbeds, sand dunes and avalanches, etc.), industrial (combustion unit reactors, and spray coating technologies, etc.) and pharmaceutical (ingredient conveying, blending, drying and capsule loading, etc.) sectors. With significant efforts being made on a global scale to tackle climate challenges there is a drive towards improving efficiency across the various industrial and power sectors; as well as being more equipped to predict and adapt to natural events. The scale of these processes means computational methods for prediction and optimisation plays a crucial role.
Despite advances being made over recent years to capture more detailed particle physics into existing particle models, they remain far from reliable due to the many assumptions still being made. These assumptions directly impact the prediction of the overall performance of these processes, such as assuming all particles are frictionless, uniform-sized particles and even perfectly spherical. Understanding and incorporating more detailed physics can support the prediction of key physical phenomena commonly experienced across many industrial and power-generation sectors, such as particle segregation, particle sliding, cluster formation and even particle fragmentation in highly collisional regimes.
This project will require someone with a strong mathematical and computational fluid dynamics background. Ideally, the applicant would have coding experience, ideally with computational fluid dynamics open source packages such as OpenFOAM.
If you wish to discuss any details of the project informally, please contact Dr Lindsay-Marie Armstrong, Energy Technology research group, Email: [email protected]
, Tel: +44 (0) 2380 59 4760.
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).
Closing date: applications should be received no later than 31 August 2020 for standard admissions, but later applications may be considered depending on the funds remaining in place.
Funding: full tuition fees for EU/UK students plus for UK students, an enhanced stipend of £15,285 tax-free per annum for up to 3.5 years.
How To Apply
Applications should be made online, please select the academic session 2020-21 “PhD Eng & Env (Full time)” as the programme. Please enter Lindsay-Marie Armstrong under the proposed supervisor.
Applications should include:
Two reference letters
Degree Transcripts to date
Apply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page
For further information please contact: [email protected]