Future copper metallurgy for the age of e-mobility and the circular economy. Copper, nickel, cobalt, chromium and tin metals are essential for the manufacture of new battery materials, electrical and electronic devices and technologies that will enable the global transition to sustainable energy systems. There are major technical challenges associated with the industrial scale high temperature production, separation and recycling of these metals. The aim of the present study is develop advanced ....Future copper metallurgy for the age of e-mobility and the circular economy. Copper, nickel, cobalt, chromium and tin metals are essential for the manufacture of new battery materials, electrical and electronic devices and technologies that will enable the global transition to sustainable energy systems. There are major technical challenges associated with the industrial scale high temperature production, separation and recycling of these metals. The aim of the present study is develop advanced chemical thermodynamic databases and models that can be used to predict the outcomes of these complex chemical reactions, and in doing so provide the industry with the vital fundamental scientific information and tools needed to be able to design and improve new, more efficient metal production and recycling technologies. 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: IH200100005
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Australian Steel Innovation. The Hub’s overarching goal is to support the transition of Australia’s steel manufacturing industry to a more sustainable, competitive and resilient position based on the creation of new, higher value-added products and more advanced manufacturing processes. It anticipates delivering original, innovative research designed to enable a necessary technological shift in the supply chain through integrating advanced enabling technologies in large and ....ARC Research Hub for Australian Steel Innovation. The Hub’s overarching goal is to support the transition of Australia’s steel manufacturing industry to a more sustainable, competitive and resilient position based on the creation of new, higher value-added products and more advanced manufacturing processes. It anticipates delivering original, innovative research designed to enable a necessary technological shift in the supply chain through integrating advanced enabling technologies in large and small businesses, developing step-change performance in anti-corrosion treatments and coating lines, generating more functional and durable products, and increasing resource intensities. It expects to train a more skillful and diverse workforce that will be critical in achieving this transformation.Read moreRead less
Thermodynamic basis for ironmaking and slag recycling in circular economy. This project aims to develop new, powerful state-of-the-art computer-based tools to predict the outcomes of complex chemical reactions, high-temperature ironmaking and slag recycling processes. Globally, over 1 billion tonnes of iron are produced each year consuming 30 billion billion (Quintillion) Joules energy! and creating over 300 million tonnes of molten oxides (slags). Our industry partners need new advanced thermod ....Thermodynamic basis for ironmaking and slag recycling in circular economy. This project aims to develop new, powerful state-of-the-art computer-based tools to predict the outcomes of complex chemical reactions, high-temperature ironmaking and slag recycling processes. Globally, over 1 billion tonnes of iron are produced each year consuming 30 billion billion (Quintillion) Joules energy! and creating over 300 million tonnes of molten oxides (slags). Our industry partners need new advanced thermodynamic databases and computer models with which to optimise their major industrial processes and develop new technologies. By delivering these tools, this project expects to benefit both industry and the community through improved process efficiencies, and reductions in energy usage, pollutants, and environmental impacts.
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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
Differential solidification of steel slag to create a fertiliser co-product. The project aims to develop a process to separate phosphorus from steelmaking slag while the slag is still molten. Changing iron ore grades in Australia, especially increasing phosphorus content, places Australian iron ore products at a competitive disadvantage and attracts a significant financial penalty. The separation process is intended to facilitate recycling of an iron rich stream within the steelworks and product ....Differential solidification of steel slag to create a fertiliser co-product. The project aims to develop a process to separate phosphorus from steelmaking slag while the slag is still molten. Changing iron ore grades in Australia, especially increasing phosphorus content, places Australian iron ore products at a competitive disadvantage and attracts a significant financial penalty. The separation process is intended to facilitate recycling of an iron rich stream within the steelworks and production of a phosphorus rich co-product for agriculture. Benefits are anticipated to include increased utilisation of steel slag, creation of a valuable fertiliser co-product, decreased greenhouse gas emissions, and a reduction in the penalty applied to Australian iron ores.Read moreRead less
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
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
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