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.
The Edinburgh part of the project focuses on multi-physics modelling of particle dynamics and suspension rheology in electrical discharge processes. This work is an integrated part of an EPSRC funded project to develop novel electrical discharge methods (EDM) for functional surface coating, collaborating with The University of Nottingham. This project aims to revolutionise the way industrial electrical discharge machining processes can be used. It will transform the process from a machining only technique to a method that is also capable of novel surface treatments at the same time.