The aim is to develop a new understanding of the micromechanics of railway trackbed subjected to dynamic loads induced by high speed trains. This should lead to safer design of high-speed railway systems which require less maintenance and, therefore, are more sustainable.
This project aims to create a generally applicable framework for transferring academic innovations in the modelling of particulate materials into industrial practice in the UK. The process of twin-screw granulation has been selected as an exemplar industrial process which is simulated across multiple scales using the coupled methods of population balance modelling and the discrete element method.
A project, funded by PhD scholarships from the Islamic Development Bank and EPSRC (via the Doctoral Training Grants) is underway looking at the efficiency of meso-scale waste stabilization ponds to treat municipal waste water, with resource recovery from fish farming and selling sludge for fertilizer. The ultimate aim is to demonstrate systems that can be adpoted and run by communities, particularly in urban West Africa. The pilot project is based in Cotonou, Benin.
The Vision of VELaSSCo is to provide new approaches for visual analysis of large-scale simulations for the Exabyte era. It does this by building on big data tools and architectures for the engineering and scientific community and by adopting new ways of in-situ processing for data analytics and hardware accelerated interactive visualization.
This project attempts to deal with the challenges associated with handling and storage of cohesive solids in the mining industry. An adhesive-frictional model has been recently developed for DEM simulation of cohesive particles at the University of Edinburgh. This project will exploit the new method for modelling cohesive particulates for specific problems, such as effect of fines in silo discharge and the effect of time consolidation.
T-MAPPP is an Initial Training Network funded by FP7 Marie Curie Actions with 10 full partners and 6 associate partners, aiming to train the next generation of researchers who can support and develop the emerging inter- and supra-disciplinary community of Multiscale Analysis (MA) of multi Phase Particulate Processes.
Particle shape has important effects on bulk materials as sandpiles and mixtures; temporal changes of the shape (e.g. due to surface abrasion) also have severe consequences in many industrial sectors. To represent irregular particles, a compact “irregularity function” can be stored for each particle which describes how the shape deviates from a bounding sphere. Abrasion can be studied by adopting irregularity functions which can change with time depending on contact force.
From cement and ceramic pastes to paints and drilling fluids, dense suspensions of solid particles immersed in a liquid are ubiquitous in industries. Understanding the rheology of dense suspensions is important for explaining and predicting the multiphase flow behavior in traditional and innovative industrial processes. In this project, DEM simulations are employed to understand the rheology of suspensions containing different particles with different surface properties.