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Rheology of Dense Suspension System containing Frictional and Frictionless Particles |
Dr. Jin Sun
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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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Removal of Chlorophenols by Biochar |
Dr Andrea Joana Correia Semiao
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This project aims at identifying the mechanisms involved during the removal of different types of chlorophenols using several biochars during water treatment. Chlorophenols and biochars with different physico-chemical properties will be tested as well as different environmental characteristics.
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Particle Dynamics and suspension rheology in electrical discharge |
Dr. Jin Sun
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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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Nanomaterials for water treatment |
Dr Efthalia Chatzisymeon
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This project will use novel catalytic nanoparticles for water treatment with emphasis given on the removal of emerging micro-pollutants, such as Bisphenol A (BPA).
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Multiscale characterisation of randomly oriented board strand composites from re-used prepreg scrap |
Francisca Martinez Hergueta
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The aim of this project is to develop manufacturing upcycling technologies to re-use prepreg scrap and determine the resultant mechanical properties. This project mitigates the environmental impact of conventional composite manufacturing processes reducing air emissions and energy consumption. It also contributes towards a sustainable economy reducing the waste disposal fees paid by commercial companies and recovering commercial value from the composite scrap.
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Multi-scale analysis of DEM data to enhance the prediction at system scale |
Prof. Jin Ooi
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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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Multi-scale analyses of wildland fire combustion processes |
Dr Rory Hadden
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Low intensity prescribed fires are often employed in forests and wildland in order to manage hazardous fuels, restore ecological function and historic fire regimes, and encourage the recovery of threatened and endangered species. Current predictive models used to simulate fire behavior during low-intensity prescribed fires (and wildfires) are empirically-based, simplistic, and fail to adequately predict fire outcomes because they do not account for variability in fuel characteristics and interactions with important meteorological variables. Experiments are being carried out at scales ranging from the fuel particle, to fuel bed, to field plot and stand scales, with an aim of better understanding how fuel consumption is related to the processes driving heat transfer, ignition and flame spread, and thermal degradation through flaming and smouldering combustion, at the scale of individual fuel particles and fuel layers. Focus is placed on how these processes, and thus fuel consumption, are affected by spatial variability in fuel particle type, fuel moisture status, bulk density, and horizontal and vertical arrangement of fuel components, as well as multi-scale atmospheric dynamics.
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Models for manufacturing of particulate products |
Professor Jin Ooi
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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.
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Modelling of dense suspensions rheology |
Dr. Jin Sun
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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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Modelling and measurement for oil and gas multi-phase flows - SPH-DEM fluid-particle simulation and validation |
Dr Filipe Teixeira-Dias
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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.
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