Data-driven monitoring of raceway dynamics in ironmaking blast furnaces. Raceway dynamics in ironmaking blast furnaces affect operational stability and cost considerably, yet their dynamic behaviour has not been well monitored online. The project aims to develop a data-driven model for monitoring the internal state of gas-solid-powder reacting flow in the raceway and predicting raceway anomalies online. It will be achieved by combining particle-fluid numerical simulations with data processing an ....Data-driven monitoring of raceway dynamics in ironmaking blast furnaces. Raceway dynamics in ironmaking blast furnaces affect operational stability and cost considerably, yet their dynamic behaviour has not been well monitored online. The project aims to develop a data-driven model for monitoring the internal state of gas-solid-powder reacting flow in the raceway and predicting raceway anomalies online. It will be achieved by combining particle-fluid numerical simulations with data processing and reduced-order state observer, supported by lab/plant experiments, and collaborating with two industry partners from coal and steel industries. The project outcomes including codes, models and raceway control strategies can help promote Australian metallurgical coal's global markets and ultimately the Australian economy.Read moreRead less
Modelling of particle-fluid reactive flows coupled with phase changes. This project aims to develop an integrated mathematical model for reliably describing multiphase reactive flow coupled with phase change. Particle-fluid reactive flows with phase changes are widely encountered in many energy-intensive industries, yet process design and optimization are hindered by the lack of understanding of complex phenomena governing particularly multiphase flow, phase change and their interactions. The m ....Modelling of particle-fluid reactive flows coupled with phase changes. This project aims to develop an integrated mathematical model for reliably describing multiphase reactive flow coupled with phase change. Particle-fluid reactive flows with phase changes are widely encountered in many energy-intensive industries, yet process design and optimization are hindered by the lack of understanding of complex phenomena governing particularly multiphase flow, phase change and their interactions. The model will be achieved by means of combining advanced particle-scale numerical techniques with pre-database-based thermodynamic model, supported by physical experiments. The outcomes will be applied across a range of industries of vital importance to Australian economic and technological future. It will help transform Australian pyrometallurgy and chemical industries, open new markets for a range of Australian minerals like low-grade coal and iron/copper ore, and ultimately enhance competitiveness of Australian economy.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH130100017
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Australian Steel Manufacturing. ARC Research Hub for Australian Steel Manufacturing. The aim of this Research Hub is to develop breakthrough process and product innovations to enable the Australian steel industry to improve its global competitiveness. Based on an integrated, value chain-wide approach to innovation in the steel sector the Research Hub includes projects on innovation strategy and management, customer-focused product development, innovation in coating and surfa ....ARC Research Hub for Australian Steel Manufacturing. ARC Research Hub for Australian Steel Manufacturing. The aim of this Research Hub is to develop breakthrough process and product innovations to enable the Australian steel industry to improve its global competitiveness. Based on an integrated, value chain-wide approach to innovation in the steel sector the Research Hub includes projects on innovation strategy and management, customer-focused product development, innovation in coating and surface engineering technology, and economic and environmental sustainability of iron and steelmaking.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH230100010
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Smart Process Design and Control . 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 the novel multiscale and AI modelling approaches. The outcomes include theories, computer models and simulation techniques, advanced knowledge about process modelling and optimisation, innovative technologies and processes for low carbon operations, and tens of ....ARC Research Hub for Smart Process Design and Control . 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 the novel multiscale and AI modelling approaches. The outcomes include theories, computer models and simulation techniques, advanced knowledge about process modelling 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 emission. The Hub will generate a significant impact on the mineral and metallurgical industries which are important to Australia.Read moreRead less
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