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.
While the discrete element method (DEM) can provide particle-scale information to inform the design of particulate equipment, many industrial sectors are interested in large-scale modelling and scaling-up 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.
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.
The exploration and development of deeper wells with heavier and more viscous oils, requiring greater operating pressures and more fracture to fissures to release the oils. This results in significantly increased sand content that has the potential to bring about a fundamental shift in flow behaviour. This project aims to investigate the potential – and develop – a coupled smooth particle hydrodynamics (SPH) and discrete element method (DEM) model to simulate high-pressure multi-phase flows with support from an extensive experimental programme and industrial collaboration.
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.
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.
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.