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.
Considering the cultural and national backgrounds of construction workers and management to understand attitudes and perception of construction safety risk.
The GECOMPL project aims to enable wider adoption of generalised plasticity models in practical applications. More specifically, the project proposes a detailed study of the formulation of both existing and new elastoplastic constitutive laws in the framework of generalised continua, leading to a better understanding of the different possible constitutive models and providing both the necessary theoretical basis and the appropriate numerical tools needed to use generalised continuum models in describing elastoplastic behaviour.
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.
This project aims to develop a robust methodology to characterise the grindability of particulate products in milling operations which will in turn provide a step-change in mill fingerprinting and optimisation. This involves developing a “grindability test” to measure the comminution characteristics of the particulates which, when coupled with the computational modelling work to characterise the milling function, will evaluate the milling performance measures including energy utilisation, breakage kernels for scale-up modelling such as population balance model of the mill.
