Industrial Transformation Research Hubs - Grant ID: IH140100035
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Computational Particle Technology. ARC Research Hub for Computational Particle Technology. This research hub aims to develop and apply advanced theories and mathematical models to design and optimise particulate and multiphase processes that are widely used in the minerals and metallurgical industries. This should be achieved through detailed analysis of the fundamentals governing fluid flow, heat and mass transfer at different time and length scales, facilitated by various ....ARC Research Hub for Computational Particle Technology. ARC Research Hub for Computational Particle Technology. This research hub aims to develop and apply advanced theories and mathematical models to design and optimise particulate and multiphase processes that are widely used in the minerals and metallurgical industries. This should be achieved through detailed analysis of the fundamentals governing fluid flow, heat and mass transfer at different time and length scales, facilitated by various novel research techniques. Research outcomes including theories, computer models and simulation techniques, as well as well-trained young researchers, should have a significant impact across a range of industries of vital importance to Australia’s economic and technological future, including the minerals, metallurgical, materials, chemical, energy, pharmaceutical and environment sectors.Read moreRead less
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
Industrial Transformation Research Hubs - Grant ID: Ih140100035
Funder
Australian Research Council
Summary
ARC Research Hub for Computational Particle Technology. ARC Research Hub for Computational Particle Technology. This research hub aims to develop and apply advanced theories and mathematical models to design and optimise particulate and multiphase processes that are widely used in the minerals and metallurgical industries. This should be achieved through detailed analysis of the fundamentals governing fluid flow, heat and mass transfer at different time and length scales, facilitated by various ....ARC Research Hub for Computational Particle Technology. ARC Research Hub for Computational Particle Technology. This research hub aims to develop and apply advanced theories and mathematical models to design and optimise particulate and multiphase processes that are widely used in the minerals and metallurgical industries. This should be achieved through detailed analysis of the fundamentals governing fluid flow, heat and mass transfer at different time and length scales, facilitated by various novel research techniques. Research outcomes including theories, computer models and simulation techniques, as well as well-trained young researchers, should have a significant impact across a range of industries of vital importance to Australia’s economic and technological future, including the minerals, metallurgical, materials, chemical, energy, pharmaceutical and environment sectors.Read moreRead less
Model studies of new ironmaking processes. This project aims to study the fundamentals governing the multiphase flow and thermochemical performance in representative new ironmaking processes, and formulate some useful strategies for the design, control and optimisation of next generation of ironmaking technology which is useful to Australia's future mineral and steel industries.
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
Model studies of new ironmaking processes. This project aims to study the fundamentals governing the multiphase flow and thermochemical performance in representative new ironmaking processes, and formulate some useful strategies for the design, control and optimisation of next generation of ironmaking technology which is useful to Australia's future mineral and steel industries.