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
Micromechanical analysis of size segregation and its prediction in granular free-surface flows. Industries often suffer from size segregation in the handling and processing of granular materials, leading to significant economic consequences. This project aims to develop a fundamental understanding of size segregation and prediction models, enabling industries to eliminate, minimise, or manage the effects to an acceptable level.