Modelling of polydisperse particle-fluid reacting flows. Complex polydisperse particle-fluid reacting flows are widely practised in many industries where particle size distribution is wide and particle number is huge, yet the process design and optimisation are hindered by the lack of fundamental understanding of the complex reacting flows, particularly polydispersity and interactions. The project will tackle this specific challenge by developing a novel particle-scale mathematical model by inco ....Modelling of polydisperse particle-fluid reacting flows. Complex polydisperse particle-fluid reacting flows are widely practised in many industries where particle size distribution is wide and particle number is huge, yet the process design and optimisation are hindered by the lack of fundamental understanding of the complex reacting flows, particularly polydispersity and interactions. The project will tackle this specific challenge by developing a novel particle-scale mathematical model by incorporating new numerical techniques of interphase heat/mass transfers, polydispersity and computation speed-up; and applying it to two typical industry processes for demonstration. The outcomes will be applied across a range of industries of vital importance to Australian economic and technological future.Read moreRead less
Data-driven modelling of complex reactive flows. Complex reactive flow is dominant in many chemicals, physical and biological processes and should be optimised online for operational efficiency and stability, yet it is hindered by the lack of reliable model techniques. The project tackles this challenge by developing a next-generation data-driven modelling approach via integrating continuum/discrete-scale fluid-particle dynamics with system/control theories, supported by lab/plant experiments. D ....Data-driven modelling of complex reactive flows. Complex reactive flow is dominant in many chemicals, physical and biological processes and should be optimised online for operational efficiency and stability, yet it is hindered by the lack of reliable model techniques. The project tackles this challenge by developing a next-generation data-driven modelling approach via integrating continuum/discrete-scale fluid-particle dynamics with system/control theories, supported by lab/plant experiments. Driven by online data, the generic approach can open up a powerful way to reliably describe the inner state of reactors and online predict operation anomalies. The outcomes can help transform a range of industries to smart manufacturing and design, which is vital to Australia's technological future.Read moreRead less
Depressing pyrrhotite in copper and gold flotation. The mining industry is processing low-grade ores associated with high amounts of waste minerals. Extracting metals from low-grade ores is very difficult with technical challenges in rejecting waste minerals. This project aims to understand the surface properties and the behaviour of a major waste mineral which is becoming increasingly problematic during the processing of copper and gold ores. New chemistry and chemical reagents will be develope ....Depressing pyrrhotite in copper and gold flotation. The mining industry is processing low-grade ores associated with high amounts of waste minerals. Extracting metals from low-grade ores is very difficult with technical challenges in rejecting waste minerals. This project aims to understand the surface properties and the behaviour of a major waste mineral which is becoming increasingly problematic during the processing of copper and gold ores. New chemistry and chemical reagents will be developed to efficiently and economically reject the waste mineral by manipulating the reactions that take place on its surface. This project expects to have immediate economic and environmental impacts through increasing metal production, cutting greenhouse gas emissions and applying new green reagents.Read moreRead less