The ARC Research Hub for Smart Process Design and Control aims to develop and apply advanced computational technologies to model and optimise complex multiphase processes by integrating novel multiscale and AI modeling approaches. The outcomes include theories, computer models and simulation techniques, advanced knowledge about process modeling and optimisation, innovative technologies and processes for low carbon operations, and tens of postdoc and PhD students through academic, industrial, and international collaboration. Their application will significantly improve energy/process efficiency and reduce CO2 emissions. The Hub will generate a significant impact on the mineral and metallurgical industries which are important to Australia.
Research
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Multiscale Mechanistic Modelling
Development of theories and simulation techniques for multiscale mechanistic modelling of particulate and multiphase processes.
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Data-driven modelling and application
Development of data-driven theories and models for AI modelling
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Integrated modelling and application
Integration of mechanistic and AI models and co-simulation tools for complex, multiscale industrial process analysis.
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Application to mineral processes
Mechanistic and AI-driven optimisation of mineral processing operations including bulk solids handling, grinding and cyclone separation.
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Application to metallurgical processes
Modelling, optimisation and decarbonisation of high-temperature metallurgical processes including sintering, blast furnace ironmaking and emerging hydrogen-based pathways.
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