Plant based foods: Towards sustainable and acceptable meat analogues. The project aims to address the need for engineering plant-based food products to deliver a sensory experience akin to meat. The project expects to generate new knowledge on the structural drivers for emulating meat-like texture and taste within burger products. Expected outcomes of this project include new ingredients and food characterisation methodologies, including rheology and sensory, which can be employed in rational ....Plant based foods: Towards sustainable and acceptable meat analogues. The project aims to address the need for engineering plant-based food products to deliver a sensory experience akin to meat. The project expects to generate new knowledge on the structural drivers for emulating meat-like texture and taste within burger products. Expected outcomes of this project include new ingredients and food characterisation methodologies, including rheology and sensory, which can be employed in rational food structure design. This should provide significant benefits in enhancing the consumer acceptance of plant-based foods that is required to support the rapidly growing market opportunity for them and sustainable food production.Read moreRead less
Epitaxial Stacking of Nanoporous Nanosheets for Next-generation Membranes. The project aims to develop high-precision selective membranes which are urgently needed in Australian key industries for solute-solute separation by constructing vertically-aligned and chemically-tailorable nanochannels using two-dimensional porous nanosheets as building blocks. The project expects to generate advanced knowledge in the areas of nanosheet synthesis and functionalisation, membrane design and fabrication, s ....Epitaxial Stacking of Nanoporous Nanosheets for Next-generation Membranes. The project aims to develop high-precision selective membranes which are urgently needed in Australian key industries for solute-solute separation by constructing vertically-aligned and chemically-tailorable nanochannels using two-dimensional porous nanosheets as building blocks. The project expects to generate advanced knowledge in the areas of nanosheet synthesis and functionalisation, membrane design and fabrication, selective transport of solutes and applications. The membranes developed in the project should make existing separation processes more effective and sustainable and advance emerging applications in pharmaceutical, dairy and mining industries, providing significant economic and environmental benefits to Australia.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH170100009
Funder
Australian Research Council
Funding Amount
$4,000,000.00
Summary
ARC Research Hub for Energy-efficient Separation. The ARC Research Hub for Energy-efficient Separation aims to develop advanced separation materials, innovative products and smart processes to reduce the energy consumption of separation processes. The Research Hub will create a multi-disciplinary training platform, supplying a highly-trained workforce for the advanced manufacturing sector, particularly in separation technology–a growth area in which Australia can lead the world. The advancement ....ARC Research Hub for Energy-efficient Separation. The ARC Research Hub for Energy-efficient Separation aims to develop advanced separation materials, innovative products and smart processes to reduce the energy consumption of separation processes. The Research Hub will create a multi-disciplinary training platform, supplying a highly-trained workforce for the advanced manufacturing sector, particularly in separation technology–a growth area in which Australia can lead the world. The advancement of Australia’s capability as a world-leading technology provider in manufacturing advanced separation materials and equipment will enable Australian industry to become more energy-efficient and cost-competitive in a global economy.Read moreRead less
Programming the Microstructure of 3D Printed Objects . This project aims to apply state-of-the-art living polymerisation techniques to 3D printing to efficiently produce customised polymer materials that are tailored at the molecular level. By combining computational modeling and experimental approach, fast and oxygen tolerant photoliving radical polymerisation will be developed and applied to 3D printing. These new systems will produce highly structured polymer materials with remarkable mechani ....Programming the Microstructure of 3D Printed Objects . This project aims to apply state-of-the-art living polymerisation techniques to 3D printing to efficiently produce customised polymer materials that are tailored at the molecular level. By combining computational modeling and experimental approach, fast and oxygen tolerant photoliving radical polymerisation will be developed and applied to 3D printing. These new systems will produce highly structured polymer materials with remarkable mechanical properties. The effect of nanostructure on the macroscopic material properties will be investigated. The intended outcome of this project will produce advanced materials with tailored mechanical properties via streamlined and accessible approaches.Read moreRead less
Model studies of Australian lump ore applied to blast furnace ironmaking. Ore lump use in ironmaking blast furnaces (BFs) requires no preprocessing and has a lower carbon footprint. However, it suffers various technical problems. This project aims to understand and optimize the conditions for such operations. This will be achieved by means of a combined theoretical and experimental program, involving the use of state-of-the-art multiscale computer modelling and simulation techniques. The researc ....Model studies of Australian lump ore applied to blast furnace ironmaking. Ore lump use in ironmaking blast furnaces (BFs) requires no preprocessing and has a lower carbon footprint. However, it suffers various technical problems. This project aims to understand and optimize the conditions for such operations. This will be achieved by means of a combined theoretical and experimental program, involving the use of state-of-the-art multiscale computer modelling and simulation techniques. The research outcomes will be tested in the design and control of lump charging operations in practice through collaboration with the industrial partner. This will ultimately increase Australian ore lump usage in BFs, leading to significant financial and environmental benefits to Australia and the entire steel industry worldwide.Read moreRead less
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
Low emission iron and steelmaking using hydrogen to pre-reduce lump ore. This project aims to develop and apply a new route of lump iron ore pre-reduction with hydrogen or H2-enriched gases for ironmaking to minimise CO2 emission from steel production. The route will be built up on the base of H2 reduction kinetics of iron ore and with novel technologies such as CO2 recycle and H2-heating using hot blast, underpinning the hydrogen economy by addressing the environmental concerns in mineral and s ....Low emission iron and steelmaking using hydrogen to pre-reduce lump ore. This project aims to develop and apply a new route of lump iron ore pre-reduction with hydrogen or H2-enriched gases for ironmaking to minimise CO2 emission from steel production. The route will be built up on the base of H2 reduction kinetics of iron ore and with novel technologies such as CO2 recycle and H2-heating using hot blast, underpinning the hydrogen economy by addressing the environmental concerns in mineral and steel industries. It is not only significant for low-carbon steel production, but also for better fundamental understanding to develop the future zero-emission iron and steelmaking with hydrogen. The project will be very beneficent because it increases the use of lump iron ore and expends Australian export of iron ores.Read moreRead less
Programming anisotropy into responsive soft materials. The project aims to generate viscoelastic soft materials with programmable anisotropy using aqueous suspensions of colloidal rods that have tunable surface coatings. The project expects to generate new knowledge in the rheology and structural characteristics of this unique class of materials. A key innovation is the use of charge-directed polymer self-assembly to control colloidal interactions, suspension rheology and phase behaviour. The in ....Programming anisotropy into responsive soft materials. The project aims to generate viscoelastic soft materials with programmable anisotropy using aqueous suspensions of colloidal rods that have tunable surface coatings. The project expects to generate new knowledge in the rheology and structural characteristics of this unique class of materials. A key innovation is the use of charge-directed polymer self-assembly to control colloidal interactions, suspension rheology and phase behaviour. The intended outcome is spatial control over the orientation of nanostructures, potentially mimicking the structural hierarchy found in nature. This should provide significant benefits to the creation of viscoelastic materials with complex rheology as well as structural, mechanical and optical heterogeneity.Read moreRead less
Covalently immobilised molecular catalysts for carbon dioxide reduction. This project aims to develop innovative catalytic systems on semiconductor surfaces, to use sunlight for conversion of carbon dioxide (CO2) into high energy-content products. Sustainable chemical transformation of CO2 into valuable products, especially fuels, is one of the most important chemical processing challenges. This project will use innovative molecular engineering to covalently fix light-harvester to semiconductors ....Covalently immobilised molecular catalysts for carbon dioxide reduction. This project aims to develop innovative catalytic systems on semiconductor surfaces, to use sunlight for conversion of carbon dioxide (CO2) into high energy-content products. Sustainable chemical transformation of CO2 into valuable products, especially fuels, is one of the most important chemical processing challenges. This project will use innovative molecular engineering to covalently fix light-harvester to semiconductors. The expected outcome will be an efficient system to enhance CO2 conversion, which will not only reduce the environmental impact but also generate a cheap source of energy by closing the carbon loop. Using this approach, existing high carbon-emitting processes will be able to be replaced by new carbon-neutral or even carbon-negative ones for much-reduced environmental impact on our society.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less