Industrial Transformation Training Centres - Grant ID: IC180100024
Funder
Australian Research Council
Funding Amount
$4,000,000.00
Summary
ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, internatio ....ARC Training Centre for Medical Implant Technologies. The ARC Training Centre for Medical Implant Technologies aims to train a new generation of interdisciplinary engineers and to transform the orthopaedic and maxillofacial implant industry in Australia. In collaboration with industry, universities and hospitals, the Centre will build a dynamic training environment for interdisciplinary engineers to develop and evaluate personalised implants and surgeries. It will create new networks, international collaborations and a generation of industry-ready researchers critical for growing Australia’s industry. The advances in materials and savings in time for procedures will reduce costs.
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Flow process and visible-light driven reactions for polymer manufacturing. This project aims to develop rapid, scalable light-driven continuous flow processing techniques that allow the production of value-added synthetic polymers that cannot be achieved by existing technologies. The project will take advantage of the spatio-temporal control of the light mediated polymerisation with flow process to achieve control over the primary structure, the sequential arrangement of monomer units in a polym ....Flow process and visible-light driven reactions for polymer manufacturing. This project aims to develop rapid, scalable light-driven continuous flow processing techniques that allow the production of value-added synthetic polymers that cannot be achieved by existing technologies. The project will take advantage of the spatio-temporal control of the light mediated polymerisation with flow process to achieve control over the primary structure, the sequential arrangement of monomer units in a polymer chain and the molecular weight distribution. The project will result in the preparation of functional polymers containing a specific arrangement of monomers in the polymer chain and a precise distribution of polymer chains. The development of such process will result in the development of advanced materials.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100181
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
Strengthening merit-based access and support at the new National Computing Infrastructure petascale supercomputing facility. World-leading high-performance computing is fundamental to Australia's international research success. This facility will provide access to the new National Computational Infrastructure facility by world-leading researchers from six research universities, and sustain ground-breaking work in an increasingly competitive environment.
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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Finite Strain with large rotations: A new hybrid numerical/experimental approach. Deformation up to large strains and rotations is important in rocks, metals, polymers, and biomaterials. Computational mechanics is a standard tool for modelling such deformations. However, in earth sciences, mechanical theories use small-strain formulations or large-strain approaches with classical stress rates. Classical stress rates can lead to incorrect stored energies. This project proposes to test a new large ....Finite Strain with large rotations: A new hybrid numerical/experimental approach. Deformation up to large strains and rotations is important in rocks, metals, polymers, and biomaterials. Computational mechanics is a standard tool for modelling such deformations. However, in earth sciences, mechanical theories use small-strain formulations or large-strain approaches with classical stress rates. Classical stress rates can lead to incorrect stored energies. This project proposes to test a new large-strain theory tailored to rocks experimentally, and to apply it to a pivotal geological problem: shear zone formation. The project will advance our fundamental understanding of the mechanics and energetics of rock deformation and provide a novel tool for the modelling of large deformations.Read moreRead less
A New Approach to Sampled-Data Control Design for Nonlinear Systems. This project aims to exploit new sampling and sampled-data modelling insights to bridge the continuous/sampled-data gap in the control of nonlinear systems. The goal is to investigate the impact of these insights on the control design problem and provide a new class of digital control laws for continuous time non-linear systems.
Wideband Strongly-Truncated Composite Cavity-Resonator Antennas. A rapidly growing demand for fast wireless services calls for wideband communication systems with wideband antennas, which are compact, aesthetically appealing and inexpensive, yet have good performance. With novel concepts, this project aims to produce a new class of antennas that deliver impressive performance (bandwidth and gain) while taking up a dramatically reduced area in a way that was impossible before, increasing a figure ....Wideband Strongly-Truncated Composite Cavity-Resonator Antennas. A rapidly growing demand for fast wireless services calls for wideband communication systems with wideband antennas, which are compact, aesthetically appealing and inexpensive, yet have good performance. With novel concepts, this project aims to produce a new class of antennas that deliver impressive performance (bandwidth and gain) while taking up a dramatically reduced area in a way that was impossible before, increasing a figure-of-merit to up to seven times the state-of-the-art. Their planar geometry and simplicity lead to low cost. This is expected to create new knowledge, design methods and examples, prototypes, test results and guidelines required to design, optimise and make these versatile antennas for emerging robust broadband wireless systems.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100043
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Development of an ultra-high speed spinning disk confocal micro-particle image velocimetry (PIV) platform for the investigation of cardiovascular disease . This facility will establish a microscope system specifically designed to investigate the function of blood cells in the context of cardiovascular diseases such as heart attack and stroke.
The colour of cellular aging: a deep probe of cellular processes. Understanding why we age and whether aging is preventable are profound research challenges, which must be first tackled at a cellular level. Building on our advances in non-invasive colour monitoring of cell function, this project aims to uncover intimate links between cellular processes and aging in cells that must survive for many decades such as oocytes and neurons. We will explore the tantalising possibility to rejuvenate such ....The colour of cellular aging: a deep probe of cellular processes. Understanding why we age and whether aging is preventable are profound research challenges, which must be first tackled at a cellular level. Building on our advances in non-invasive colour monitoring of cell function, this project aims to uncover intimate links between cellular processes and aging in cells that must survive for many decades such as oocytes and neurons. We will explore the tantalising possibility to rejuvenate such aged cells by interfering with molecular master switches of aging. A unique machine learning approach will be applied for finding the most effective interventions. The results will have broad impact beyond the science of aging, in the areas of female fertility, neurodegeneration and immunity.
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Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with ....Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with a higher material recovery efficiency and a lower cost due to the significantly reduced labor cost; hence substantially reduce the environmental footprint associated with EOL treatment of these batteries.Read moreRead less