Flow dynamics of Solid-Liquid Suspensions in Processing Equipment

Lead Research Organisation: University of Birmingham
Department Name: Chemical Engineering

Abstract

We have a large multi-disciplinary EPSRC research programme (2017-2021) which has started looking at multiscale two-phase solid-liquid flows in various flow systems (e.g. microchannels, pipes, stirred vessels). The work includes collaboration with the University of Surrey and Daresbury Laboratory, and there is possibility for industrial collaboration. We would like to link a PhD project to this EPSRC programme, thus, the student will benefit from working alongside and interacting with experienced postdoctoral research fellows. There is also possibility for industrial collaboration.

The movement of solid-liquid suspensions in pipes and vessels of various scales is a generic complex problem. Industries dependent on solid-liquid flow are numerous including chemicals, consumer goods, food, pharmaceuticals, oil, mining, river engineering, construction, power generation, biotechnology and biomedical. This project will address some of the experimental challenges of the problem using advanced Lagrangian (positron emission particle tracking (PEPT) and Eulerian particle imaging velocimetry (PIV) and micro-PIV) flow imaging techniques to develop the missing physical understanding of the pertinent phenomena of solid-liquid flow in different flow systems across the scales (micro, meso, macro). The work will also address, as appropriate, theoretical aspects of the project in collaboration with the other partners, which may include numerical simulations (e.g. CFD) depending on the candidate's background and interests.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509590/1 01/10/2016 30/09/2021
2112046 Studentship EP/N509590/1 01/10/2018 31/12/2021 Hamzah Sheikh
EP/R513167/1 01/10/2018 30/09/2023
2112046 Studentship EP/R513167/1 01/10/2018 31/12/2021 Hamzah Sheikh
 
Description The application of data-driven Lagrangian Stochastic Models (LSMs) have been explored in the context of solid-liquid mixing systems. These models are commonly used in oceanography, atmospheric studies and dissipation of odours. We have successfully demonstrated the capability of LSMs to model behaviour of solid tracer particles by comparing the model results to experimental Lagrangian trajectories obtained by the Positron Emission Particle Tracking (PEPT) technique in various single phase and mono-disperse solid-liquid flow experiments in mixing vessels.
This has opened a pathway to investigate other non-deterministic data-driven models for the use in engineering applications, such as statistical modelling using Bayes' Theorem and Machine learning models.
Exploitation Route Stochastic models are simple and require a small amount of information of a given mixing system. Therefore they can be used in industry to model the behaviour of solid particles in a flow system without the computational expense of deterministic models. Furthermore, such models can be used in research to extrapolate experimental data where experimental conditions are difficult to maintain or limitations of experimental time are in effect.
Sectors Chemicals,Environment,Other