This project aims to deliver a new modeling approach to efficiently simulate the powder flow and phase change (solid-liquid-solid) in dense packings of powder consisting of tens of millions of individual grains with application to manufacturing processes. To achieve this the student will contribute to all aspects of the development (theoretical, implementation and validation) of a state-of-the-art, high-fidelity computational framework based on Discrete Element Method and lattice-Boltzmann modeling approaches and will perform computer simulation to assess the powder flow and phase change in dense packings. Through these numerical simulations, the student is expected to provide new insight into the effects of the grain shape on the powder dynamics and phase change in dense particle assemblies.
At least a 2:1 Undergraduate degree in mechanical/chemical engineering, physics, applied math or closely related subject areas (MSc/MEng preferred). Strong math and computer skills (e.g. advanced mathematical modelling, computational PDEs, some exposure to HPC systems, understanding Linux CLI). Some experience in at least one high level programming language with a willingness to become proficient quickly (preferably Fortran or C++ – Python and/or MATLAB also acceptable).
Please see details here: https://www.ed.ac.uk/equality-diversity
Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.
Fully funded for home students / partially funded for International students.