Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and ....Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and non-contact detection suitable for hard-to-inspect surface conditions, will also be investigated. The new developments will help transform existing schedule-based maintenance practice to a condition-based maintenance paradigm, to achieve significant cost savings in maintenance.Read moreRead less
Fatigue Life Assessment of Structures under Realistic Loading Conditions. The project will develop a new methodology for the assessment of fatigue life of structures subjected to realistic loading conditions. This new methodology is based on recent advances in experimental techniques which make possible, for the first time, the investigation of the crack opening/closure mechanisms and the crack driving force for large numbers of fatigue cycles (>1 million) of variable amplitude, representative o ....Fatigue Life Assessment of Structures under Realistic Loading Conditions. The project will develop a new methodology for the assessment of fatigue life of structures subjected to realistic loading conditions. This new methodology is based on recent advances in experimental techniques which make possible, for the first time, the investigation of the crack opening/closure mechanisms and the crack driving force for large numbers of fatigue cycles (>1 million) of variable amplitude, representative of real-world applications. The project will expand Australia’s knowledge base and research capabilities in structural life prognosis. It will increase the competitiveness of domestic products and industries, fostering international collaborations and leadership of Australia in this strategically important area of research.Read moreRead less
A 60% efficient solar microconcentrator for electricity and hot water. The aim of this project is to develop a microconcentrator for deployment on house roofs that will produce both solar hot water and solar electricity with a combined efficiency above 60%. The system will have a low profile and will be nearly invisible from the street. The system will track the sun. Concentration will be accomplished by a mixture of refraction and reflection. About 20% of the sunlight will be converted to elect ....A 60% efficient solar microconcentrator for electricity and hot water. The aim of this project is to develop a microconcentrator for deployment on house roofs that will produce both solar hot water and solar electricity with a combined efficiency above 60%. The system will have a low profile and will be nearly invisible from the street. The system will track the sun. Concentration will be accomplished by a mixture of refraction and reflection. About 20% of the sunlight will be converted to electricity using lines of tiny solar cells, with the balance being converted to heat which is removed by cooling fluid and stored in hot water tanks.Read moreRead less
Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition ....Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition and micro-texturing via modelling of the light absorption and heat transport within these complex nanocomposite structures. The intended outcome of the project is a set of commercially competitive absorber coatings, with superior performance and durability, that support the development of CSP as a competitive technology for energy generation.Read moreRead less
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Read moreRead less
Topology optimisation of mechanical metamaterials with additive manufacture. Metamaterials have sparked a surge of interest with potential applications as diverse as biomedical implants, ballistic barriers, and acoustic cloaks. This project aims to develop topology optimisation technology, with the marriage of additive manufacturing for computational design of mechanical metamaterials of pentamode, which are a new class of artificial composites engineered to have elastic properties not easily fo ....Topology optimisation of mechanical metamaterials with additive manufacture. Metamaterials have sparked a surge of interest with potential applications as diverse as biomedical implants, ballistic barriers, and acoustic cloaks. This project aims to develop topology optimisation technology, with the marriage of additive manufacturing for computational design of mechanical metamaterials of pentamode, which are a new class of artificial composites engineered to have elastic properties not easily found in nature. This approach aims to create novel metamaterials to have extraordinary properties and complex geometries that can be easily fabricated. Potential applications may include defense, vehicles, biomedicine, marine uses, energy and cloaks.Read moreRead less
Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologi ....Foundations of Vision Based Control of Robotic Vehicles. Automated and partially automated robotic vehicles are an emerging technology in society. The safety and performance of such systems depends crucially on their sensing and control algorithms. Vision sensing is one of the few sensor modalities that has the potential to adequately represent the complexity of a real world environment. By providing simple and effective vision based control algorithms this project develops Frontier Technologies for Building and Transforming Australian Industries by enabling a wide range of robotic vehicle applications, including aerial, submersible, and wheeled vehicles.Read moreRead less
A miniaturised laser manipulator for ultra-precise and pain-free dentistry. This project aims to develop a miniaturized high-precision laser robotic device that can fit comfortably in the mouth to perform pain-free, vibration-free dental operations by utilising silicon-carbide on silicon technology to create a millimetre-sized two-axis controllable, highly-reflective mirror robust to high-power ultra-short laser pulses. This project expects to generate new knowledge in micro-mirror control using ....A miniaturised laser manipulator for ultra-precise and pain-free dentistry. This project aims to develop a miniaturized high-precision laser robotic device that can fit comfortably in the mouth to perform pain-free, vibration-free dental operations by utilising silicon-carbide on silicon technology to create a millimetre-sized two-axis controllable, highly-reflective mirror robust to high-power ultra-short laser pulses. This project expects to generate new knowledge in micro-mirror control using optically excited piezo-resistive sensors, and cold femtosecond laser ablation of hard dental tissue. Expected outcomes include a working prototype for laser removal of tooth materials at speeds exceeding dental drills, providing benefits in miniaturized laser devices and ultimately removing pain from dental procedures. Read moreRead less
Towards autonomous structural safety prognostics: integrating in-situ imaging and predictive modelling. This project aims to advance a scientific basis for autonomous safety prognostics by developing predictive models and in-situ damage imaging principles. Development of this new health prognostic approach will overcome the significant challenge of safety assurance of composite structures in the presence of in-service damage, which is largely hidden.
Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the compl ....Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the complex interaction between inflow turbulence, support struts, propeller blades and duct structure. Successful identification of the dominant sources of noise will allow for targeted noise mitigation strategies with significant impact for stealth of military vessels and reduction of underwater noise pollution on marine life.Read moreRead less