Training in Upscaling particle Systems: Advancing Industry across Length-scales

TUSAIL is an Innovative Training Network funded by Horizon 2020, comprising 15 academic and industrial partners, led by the University of Edinburgh. TUSAIL stands for “Training in Upscaling particle Systems: Advancing Industry across Length-scales”. Over the course of four years, TUSAIL will train 15 early-career researchers (ESRs) through a combination of PhD research, scientific training and industrial secondments.  The reliable, validated simulation methodologies and tools developed in TUSAIL will be disseminated to industry, enabling quantitative predictions of large industrial processes which will be of value for design, operation and optimisation.

Mechanistic and predictive population balance models for particle comminution size reduction mill

Mechanistic and predictive population balance models for particle comminution size reduction mill

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Meso-scale particles for quantitative prediction of powder transfer by pneumatic conveying

Meso-scale particles for quantitative prediction of powder transfer by pneumatic conveying

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Multiscale models for reconstitution of compacted powders

Multiscale models for reconstitution of compacted powders

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Meso-scale DEM for flowability assessment of weakly consolidated fine powders in industry

Meso-scale DEM for flowability assessment of weakly consolidated fine powders in industry

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Continuum–DEM modelling of fluid–solid transition in weakly compacted systems of polydisperse particles of varying shapes

Continuum–DEM modelling of fluid–solid transition in weakly compacted systems of polydisperse particles of varying shapes

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Multi-scale modelling of particle agglomeration through sintering

Multi-scale modelling of particle agglomeration through sintering

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DEM–CFD and PBM for dynamic process simulation of fluidized bed agglomeration

DEM–CFD and PBM for dynamic process simulation of fluidized bed agglomeration

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DEM (meso-)particle property calibration with powder rheometry and other flow characterization techniques

DEM (meso-)particle property calibration with powder rheometry and other flow characterization techniques

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DEM and CFD–DEM meso-particle modelling of mixing processes

DEM and CFD–DEM meso-particle modelling of mixing processes

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CFD–DEM and PBM simulation of fluidized bed opposed jet mills for particle micronization

CFD–DEM and PBM simulation of fluidized bed opposed jet mills for particle micronization

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Mixed discrete–continuum modelling of dense granular flow

Mixed discrete–continuum modelling of dense granular flow

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Time-extrapolation of continuum Two Fluid Model (TFM) simulations of spout fluidized beds

Time-extrapolation of continuum Two Fluid Model (TFM) simulations of spout fluidized beds

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Meso-scale description of wet powders for industrial-scale modelling

Meso-scale description of wet powders for industrial-scale modelling

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Discrete particle zoom in continuum Two Fluid Model (TFM) simulations of spout fluidized beds

Discrete particle zoom in continuum Two Fluid Model (TFM) simulations of spout fluidized beds

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Fundamental development of structure and rotation-related coarse graining for micro-polar continuum theories

Fundamental development of structure and rotation-related coarse graining for micro-polar continuum theories

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Featured News

Final Symposium at CHoPS 2024

published on: 30 January 2024

posted in: Events

Final Symposium at CHoPS 2024

Announcing our final symposium which will take place at CHoPS…

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CHoPS 2024: Call for Abstracts

published on: 09 January 2024

posted in: News

CHoPS 2024: Call for Abstracts

Submission is now open for the 11th International Conference…

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CHoPS 2024  - EDINBURGH

published on: 10 November 2023

posted in: News

CHoPS 2024 - EDINBURGH

Save the date! The 11th International Conference on Conveying…

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We are recruiting!

published on: 13 October 2023

posted in: News

We are recruiting!

Project: Multiscale models for reconstitution of compacted powders

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In this short video, our ESRs introduce themselves, their work and explore the benefits of being part of a Marie-Curie ITN

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