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
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.
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
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
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
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
Multiscale study of raceway operations for low-cost and stable ironmaking. This project aims to optimise blast furnace operations and to assess the performance of Australian brown coals in ironmaking. Pulverised coal injection is a cost-effective technology in blast furnace ironmaking, particularly if low-grade coal is used. This project aims to develop control strategies for stable and low-cost operation and to assess and optimise the combustion of brown coal and its blends in this process. The ....Multiscale study of raceway operations for low-cost and stable ironmaking. This project aims to optimise blast furnace operations and to assess the performance of Australian brown coals in ironmaking. Pulverised coal injection is a cost-effective technology in blast furnace ironmaking, particularly if low-grade coal is used. This project aims to develop control strategies for stable and low-cost operation and to assess and optimise the combustion of brown coal and its blends in this process. The project aims will be achieved via multiscale modelling and simulation, supported by laboratory and plant experiments. The outcomes of the project are intended to open a new market for brown coal.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
Development and application of a virtue experimental blast furnace. This project aims to develop a virtual experimental blast furnace based on advanced discrete particle simulation technique. It is intended that the model furnace will be used to study the flow and thermochemical behaviour in iron making, quantify the effects of key variables related to raw material and operational conditions, and formulate strategies for optimum process design and control under different conditions. The findings ....Development and application of a virtue experimental blast furnace. This project aims to develop a virtual experimental blast furnace based on advanced discrete particle simulation technique. It is intended that the model furnace will be used to study the flow and thermochemical behaviour in iron making, quantify the effects of key variables related to raw material and operational conditions, and formulate strategies for optimum process design and control under different conditions. The findings aim to be very useful to comprehensively assess the performance of Australian minerals in iron making, improve the energy efficiency and reduce carbon dioxide emission in the steel industry, and enhance the competitiveness of the Australian economy.Read moreRead less