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Dense suspension rheology through DEM simulations |
Dr. Jin Sun
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Infrastructure and Environment |
Mud, slurry, coffee, paints, cements, batteries and many other everyday materials have particles suspended in a liquid. We need to understand the flow behaviour to handle, and process such materials for traditional and innovative applications. Our research seeks to understand the common features of the flow behaviour of different materials using simple particle based simulations. In particular, we focus on dense suspensions where the particles occupy more than 50 % by volume of the solution.
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Effect of particle shape, size and particle friction in granular solid flow in railway ballast |
Prof. Xuecheng Bian
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Infrastructure and Environment |
In the Chinese southeast coastal areas, most of the rail transit infrastructures are built on the soft soil. Infrastructures construction and operation including high speed railway or urban railway system require a good understanding of the behavior of the soft soil subject to the static and dynamic loading induced by the infrastructure.
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Modelling of dense suspensions rheology |
Dr. Jin Sun
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Infrastructure and Environment |
We examine the rheology of granular dense suspensions using computer simulations with discreste particles and develop constitutive models for flow of such suspensions.
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Multi-scale analysis of DEM data to enhance the prediction at system scale |
Prof. Jin Ooi
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Infrastructure and Environment |
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 [1].
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Investigating the micromechanics of granular soils subjected to cyclic loading using the discrete element method |
Dr Kevin Hanley
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Infrastructure and Environment |
The objective of this research is to investigate the behavior of Dunkerque sand under undrained triaxial cyclic loading using the discrete element method (DEM).
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Particle Dynamics and suspension rheology in electrical discharge |
Dr. Jin Sun
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Infrastructure and Environment |
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.
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Rheology of Dense Suspension System containing Frictional and Frictionless Particles |
Dr. Jin Sun
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Infrastructure and Environment |
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.
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Simulation of Irregular, Abradable Particles in DEM |
Dr Kevin Hanley
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Infrastructure and Environment |
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.
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Simulation of dense suspensions with discrete element method and a coupled lattice Boltzmann method |
Dr. Jin Sun
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Infrastructure and Environment |
Suspensions, mixtures of a fluid and particles, are widespread in nature and industry. However, many open questions, such as the particle interactions in dense suspensions, have not been answered [1].
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T-MAPPP: Training in Multiscale Analysis of multi-Phase Particulate Processes |
Prof. Jin Ooi
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Infrastructure and Environment |
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.
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