Preparation and use of lignite-iron ore composite briquettes for ironmaking. Preparation and use of lignite-iron ore composite briquettes for ironmaking. This project aims to study the briquetting processes of fine powders, and the preparation and utilization of new brown coal (lignite)–iron ore composite briquettes in a blast furnace. Lignite is a low-cost and abundant resource, and could be used in an emerging carbon-iron ore composite briquette for low-cost ironmaking. This project will perfo ....Preparation and use of lignite-iron ore composite briquettes for ironmaking. Preparation and use of lignite-iron ore composite briquettes for ironmaking. This project aims to study the briquetting processes of fine powders, and the preparation and utilization of new brown coal (lignite)–iron ore composite briquettes in a blast furnace. Lignite is a low-cost and abundant resource, and could be used in an emerging carbon-iron ore composite briquette for low-cost ironmaking. This project will perform multi-scale numerical studies, supported by lab/industry-scale experiments, to produce models and control strategies. Anticipated outcomes include better design and control of briquette's preparation and utilization in ironmaking for further cost-cutting; a new market for brown coal; and a more competitive Australian economy.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