Sustainable and robust Australian Ni-based superalloy manufacturing. This project aims to solve challenges related to microstructural defect formation in the manufacturing of a critical Ni-based superalloy. It will generate new knowledge on its microstructure evolution and defect origin via a combined experimental and computational approach. Expected outcomes are advanced manufacturing routes with higher yield of defect free materials, using more scrap as input. This will enable robust and susta ....Sustainable and robust Australian Ni-based superalloy manufacturing. This project aims to solve challenges related to microstructural defect formation in the manufacturing of a critical Ni-based superalloy. It will generate new knowledge on its microstructure evolution and defect origin via a combined experimental and computational approach. Expected outcomes are advanced manufacturing routes with higher yield of defect free materials, using more scrap as input. This will enable robust and sustainable alloy manufacturing for power generation, defence, and aerospace industries. Commercial benefits are opportunities to domestically source alloys with reduced dependency on international trade. Environmental and societal benefits include lower emissions due to better mechanical design and workforce training.Read moreRead less
New Lead-Free Brass Solutions for Drinking Water Applications. The aim of this Linkage Project is to provide viable material solutions to address the health problem of Lead-contamination in drinking water arising from Leaded-brass plumbing products and the impact Lead-removal from brass will have on the brass industry. In order to achieve this, this project engages leading multidisciplinary researchers along with Australian and international industry partners from across the brass industry suppl ....New Lead-Free Brass Solutions for Drinking Water Applications. The aim of this Linkage Project is to provide viable material solutions to address the health problem of Lead-contamination in drinking water arising from Leaded-brass plumbing products and the impact Lead-removal from brass will have on the brass industry. In order to achieve this, this project engages leading multidisciplinary researchers along with Australian and international industry partners from across the brass industry supply and sales network. This project seeks to identify and harness the key material-product attributes required to develop and implement new, lead-free alloy alternatives that meet health-compliance, production and commercial viability, that offer benefits across the industry network and health benefits to society.Read moreRead less
Next-Generation Advanced Ammunition Alloy Production Technologies. This project aims to address a major shortfall in Australia’s ammunition supply chain and security by providing alloy solutions that enable the bypassing of the energy-intensive ammunition production steps currently imported from foreign nations as semi-finished products. By using a range of innovative new alloy design approaches that fundamentally address alloy strength, workability and castability, this project expects to provi ....Next-Generation Advanced Ammunition Alloy Production Technologies. This project aims to address a major shortfall in Australia’s ammunition supply chain and security by providing alloy solutions that enable the bypassing of the energy-intensive ammunition production steps currently imported from foreign nations as semi-finished products. By using a range of innovative new alloy design approaches that fundamentally address alloy strength, workability and castability, this project expects to provide higher performance cartridge alloys amenable to modern economic production technologies available within Australia simply not possible with existing cartridge brass. This shall provide a flexible, cost-competitive and secure sovereign ammunition supply chain while simultaneously improving ammunition performance.Read moreRead less
Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the n ....Modelling Adversarial Noise for Trustworthy Data Analytics. Adversarial robustness is a core property of trustworthy machine learning. This project aims to equip machines with the ability to model adversarial noise for defending adversarial attacks. The project expects to produce the next great step for artificial intelligence – the potential to robustly explore and exploit deceptive data. Expected outcomes of this project include theoretical foundations for modelling adversarial noise and the next generation of intelligent systems to accommodate data in a noisy and hostile environment. This should benefit science, society, and the economy nationally and internationally through the applications to trustworthily analyse their corresponding complex data. Read moreRead less
Advanced Machine Learning with Bilevel Optimization. There is an urgent need to develop a new machine learning (ML) paradigm that can overcome data-privacy and model-size constraints in real-world applications. This project aims to develop an advanced paradigm of ML with bilevel optimisation, called bilevel ML. A theoretically-guaranteed fast approximate solver and a new fuzzy bilevel learning framework will be developed to achieve the aim in complex situations; a methodology to transfer knowled ....Advanced Machine Learning with Bilevel Optimization. There is an urgent need to develop a new machine learning (ML) paradigm that can overcome data-privacy and model-size constraints in real-world applications. This project aims to develop an advanced paradigm of ML with bilevel optimisation, called bilevel ML. A theoretically-guaranteed fast approximate solver and a new fuzzy bilevel learning framework will be developed to achieve the aim in complex situations; a methodology to transfer knowledge and an approach to fast-adapt bilevel optimization solutions when required computing resources change. The anticipated outcomes should significantly improve the reliability of ML with benefits for safety learning and computing resource optimisation in ML-based data analytics.Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Application of a Novel Reflux Classifier for Separating Nut Shell Fragments from Powdered Food Mixtures. An important operation in the food industry is the physical separation of valuable particles from a mixture containing waste materials, such as shell fragments. The purpose of this study is to investigate the application of a novel gas-solid fluidised bed system, utilising parallel inclined plates to radically amplify the differential segregation rates to produce separations based on particle ....Application of a Novel Reflux Classifier for Separating Nut Shell Fragments from Powdered Food Mixtures. An important operation in the food industry is the physical separation of valuable particles from a mixture containing waste materials, such as shell fragments. The purpose of this study is to investigate the application of a novel gas-solid fluidised bed system, utilising parallel inclined plates to radically amplify the differential segregation rates to produce separations based on particle size. Our aim is to develop a fundamental understanding of the principles governing the nature of this system. The project should result in considerable technological and economic benefits for the food industry, a well trained and educated person at the postgraduate level, and a stronger collaborative link between the University and Sanitarium.Read moreRead less
Mullins-type effects in soft filled viscoelastic solids. Bread dough is made in vast quantities daily, and improvements in processing,especially sheet rolling,are needed,and to enable this we propose to create a novel mathematical description of the material. Also, wheat breeding cycles can be drastically shortened by using knowledge of dough rheology, since baking quality is closely linked to rheology. The mathematical framework can then be applied to other filled viscoelastic systems, and work ....Mullins-type effects in soft filled viscoelastic solids. Bread dough is made in vast quantities daily, and improvements in processing,especially sheet rolling,are needed,and to enable this we propose to create a novel mathematical description of the material. Also, wheat breeding cycles can be drastically shortened by using knowledge of dough rheology, since baking quality is closely linked to rheology. The mathematical framework can then be applied to other filled viscoelastic systems, and work on liquid crystals may be used to develop artificial muscle material, once their rheological description and behaviour are known.Read moreRead less
Ultra-lightweight alloys with unique multi-dimensional property profiles. Lightweight alloys with high specific-strength are an essential prerequisite in modern and future technologies. To be useful, they must also possess ductility and inherent corrosion resistance. The latter two properties, however, are inversely correlated with strength. This project proposes to break this paradox - not only in terms of a paradigm change regarding multi-property alloy design - but as applied to the most ligh ....Ultra-lightweight alloys with unique multi-dimensional property profiles. Lightweight alloys with high specific-strength are an essential prerequisite in modern and future technologies. To be useful, they must also possess ductility and inherent corrosion resistance. The latter two properties, however, are inversely correlated with strength. This project proposes to break this paradox - not only in terms of a paradigm change regarding multi-property alloy design - but as applied to the most lightweight engineering alloy system in existence, Magnesium-Lithium (Mg-Li), for which the impact on specific properties is immense. The aim is to develop ultra-lightweight Mg-Li based alloys with formidable property profiles via alloy design and thermomechanical processing. The expected outcome is a new class of structural corrosion resistant metal.Read moreRead less
Crystallography to deform and anneal metals. This project aims to study how the micromechanisms of plastic deformation affect the annealing behaviour of metals. This project will create a computational platform built on a reconstruction algorithm for three-dimensionally reconstructing experimentally-derived orientation data to generate the complete microstructure of crystalline material. It will reconstruct complex deformation and recrystallising structures in metals, through to the boundaries, ....Crystallography to deform and anneal metals. This project aims to study how the micromechanisms of plastic deformation affect the annealing behaviour of metals. This project will create a computational platform built on a reconstruction algorithm for three-dimensionally reconstructing experimentally-derived orientation data to generate the complete microstructure of crystalline material. It will reconstruct complex deformation and recrystallising structures in metals, through to the boundaries, phases and interfaces present in metals and ceramics. The intended outcome is the explanation of unresolved phenomena associated with thermomechanical processing of metals and alloys, useful for materials science, structural geology and condensed matter physics.Read moreRead less