A comprehensive theoretical and simulation model for control of nucleation, prediction of as-cast grain size, and design of grain refining technology. The research will generate know-how and methods for predicting the as-cast microstructure of all metallic alloys. The outcomes enable the design of commercially viable grain refining technologies, and the development of novel microstructures that will improve the properties and quality of new products and contribute to waste and energy reduction.
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
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
Sustainable copper metallurgy and recycling – saving energy and resources. This project aims to develop new, powerful and sophisticated, computer-based models that can reliably predict the results of chemical reactions in complex, high temperature metal production processes. This project expects to use these models, initially applied to copper smelting systems, to enable the improved recycling of other valuable metals. These models should be able to be applied to a wide range of technologies use ....Sustainable copper metallurgy and recycling – saving energy and resources. This project aims to develop new, powerful and sophisticated, computer-based models that can reliably predict the results of chemical reactions in complex, high temperature metal production processes. This project expects to use these models, initially applied to copper smelting systems, to enable the improved recycling of other valuable metals. These models should be able to be applied to a wide range of technologies used in the metallurgical industry as most of the world’s metals are produced by these pyrometallurgical processes. This should provide significant benefits such as substantial improvements in productivity and process efficiencies, whilst at the same time delivering energy savings and improved use of valuable metal resources.Read moreRead less
Creating wealth from new resources - High temperature extraction of metals from complex copper ores and recycled materials. Most of the world’s copper is produced using high temperature chemical processing (smelting). Both primary ores and recycled raw materials contain valuable elements and also potentially harmful impurity elements. To unlock and utilise current and new resources, and also minimise the environmental impacts the industry has identified the need for new fundamental scientific da ....Creating wealth from new resources - High temperature extraction of metals from complex copper ores and recycled materials. Most of the world’s copper is produced using high temperature chemical processing (smelting). Both primary ores and recycled raw materials contain valuable elements and also potentially harmful impurity elements. To unlock and utilise current and new resources, and also minimise the environmental impacts the industry has identified the need for new fundamental scientific data that describe the chemical behaviour of impurity elements in these systems. The project aims to then use the data to develop powerful computer-based thermodynamic models that can predict the products of complex industrial processes. These sophisticated tools are intended to then be used to improve the performance of existing industrial operations and assist in the development of new process designs.Read moreRead less