Projects
Please note that the PhD projects listed are examples of projects offered to current CDT students and as such are not generally available to prospective students.
Physics-informed deep learning and field experiments for dynamic reactive fluids (carbon, nutrients and water flow) in agricultural soils
Artificial Intelligence have attracted considerable attention from researchers in environmental fluid dynamics over the last decade, especially Artificial Neural Networks (ANN) which can provide a...
Numerical Simulation of Polymer-Particle Adsorption and Flocculation Dynamics for Nuclear Waste Separations
The addition of small concentrations of high-molecular-weight polymers to particle-laden flows to separate non-settling fine solids from aqueous suspensions is a promising method to instigate...
Design of controlled-release drugs using image-based modelling and machine learning
Controlled-release tablets are manufactured to dissolve slowly and release active ingredients at a predictable rate so they can sustain a small amount of medication into...
Coupled flow-growth models for recovery and reduction of energy from wastewater processes
Wastewater treatment processes have high energy costs and are challenging to optimise due to the complex coupled processes occurring. Over 10 billion litres of sewage...
Aerosol generation from liquid droplet impact on solid surfaces
Liquid jets are widely encountered from ink jet printing to ‘big industry’ which frequently use high velocity jets to decontaminate surfaces (remove radionuclides or heavy...
Predicting settling behaviour of asymmetric particle using image analysis and machine learning
Settling of solid particles in fluids are seen in numerous industrial and natural situations, ranging from pharmaceutical processing to sedimentation in oceans. Whilst empirical and...
Ignitability, Quenching and Deflagration-to-Detonation-Transition (DDT) of hydrogen-air mixtures
Due to radiation and wide use of reactive metals, the nuclear industry has always to be mindful of the generation of flammable gases, principally hydrogen....
Coupled hydrodynamic-biokinetic growth models for recovery of energy from the wastewater treatment processes
Wastewater treatment processes have high energy costs and are challenging to optimise due to the complex coupled processes occurring. Over 10 billion litres of sewage...
3D printing of liquid crystal elastomers
Liquid crystal elastomers (LCEs) are a new class of soft materials which have a myriad of potential uses due to their unique properties. Direct-Ink Writing...