Understanding extreme wind gusts and associated risks in NSW. Wind gusts are rare bursts of high wind, often associated with thunderstorm outflows. They can do significant structural damage, and their rarity and small scale make prediction and risk assessment difficult. This proposal seeks to better understand and predict wind gusts and their impacts to aid in planning. The project aims to use past observations, modelling, and basic theory to show what conditions lead to wind gusts and how like ....Understanding extreme wind gusts and associated risks in NSW. Wind gusts are rare bursts of high wind, often associated with thunderstorm outflows. They can do significant structural damage, and their rarity and small scale make prediction and risk assessment difficult. This proposal seeks to better understand and predict wind gusts and their impacts to aid in planning. The project aims to use past observations, modelling, and basic theory to show what conditions lead to wind gusts and how likely they are to exceed key thresholds. It targets important scientific and practical issues such as the joint occurrence of gusts and high rainfall, role of gusts in contributing to dust and other airborne pollutants, impacts of gusts on subsequent storm activity, and gusts in a warming climate.Read moreRead less
High performance electrolyte for the vanadium redox flow battery. Vanadium batteries present a highly-scalable, sustainable solution for storage of renewable electricity, but the technology needs to be improved for robust and efficient operation in the warm Australian climate. This project aims to design and extensively test new high-performance electrolyte compositions with advanced thermal stabilising additives for safe long-term battery operation at 60 °C. New knowledge in materials science a ....High performance electrolyte for the vanadium redox flow battery. Vanadium batteries present a highly-scalable, sustainable solution for storage of renewable electricity, but the technology needs to be improved for robust and efficient operation in the warm Australian climate. This project aims to design and extensively test new high-performance electrolyte compositions with advanced thermal stabilising additives for safe long-term battery operation at 60 °C. New knowledge in materials science and electrochemistry will be generated. The core outcome of the project is a sustainable large-scale energy storage technology ready for immediate application in Australia. This will support the transition of the Australian energy sector to renewables and provide businesses with distributed energy storage solutions.Read moreRead less
Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely ....Condition Monitoring of Aircraft Propulsion for Automated Diagnostics. The integrity of the steering system is crucial for the safe operation of autonomous vehicles. This project aims at developing a new condition monitoring system able to diagnose steering faults earlier, provide a root-cause-analysis of malfunctions, and estimate associated failure risks in the future. The outcomes of this project will be a better understanding of steering faults and their effect on autonomous driving, timely diagnostics and prognostics and innovative proactive control measures that mitigate their impact on autonomous driving quality and safety. The expected benefits for the automotive industry and end-users include increased safety and reliability of steering systems, and higher confidence in autonomous driving.Read moreRead less
Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expecte ....Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expected to deliver new experimental data on novel surface materials exposed to a hypersonic flow environment and computer models that can simulate their cooling effect. This investigation will contribute towards enabling technologies for sustained hypersonic flight by overcoming critical head load limitations.Read moreRead less
Removal of Perfluorinated Chemicals Using New Fluorinated Polymer Sorbents. Per- and polyfluoroalkyl substances (PFAS) are a family of highly persistent chemicals that are linked to a number of human diseases, however existing approaches for removal of PFAS are highly inefficient. This project aims to develop and evaluate novel, reusable polymer sorbents for effective PFAS removal. The polymer sorbents will enable efficient, selective and continuous sorption of PFAS, while maintaining excellent ....Removal of Perfluorinated Chemicals Using New Fluorinated Polymer Sorbents. Per- and polyfluoroalkyl substances (PFAS) are a family of highly persistent chemicals that are linked to a number of human diseases, however existing approaches for removal of PFAS are highly inefficient. This project aims to develop and evaluate novel, reusable polymer sorbents for effective PFAS removal. The polymer sorbents will enable efficient, selective and continuous sorption of PFAS, while maintaining excellent environmental stability for long-term implementation in practical devices. The project will develop novel polymer sorbents to revolutionize the remediation of PFAS with high technical, economic and environmental feasibility, creating a pathway to a PFAS-free world, and ultimately protecting the natural environment.Read moreRead less
An intelligent condition-monitoring system for mineral screening machines. This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the e ....An intelligent condition-monitoring system for mineral screening machines. This project aims to develop an intelligent condition-monitoring system for screening machines which are widely used for classifying mineral particles in the mining industry. This project will develop new vibration-based methodologies and techniques for fault diagnostics and remaining useful life prediction of bearings and gears in situations with multiple complex sources and interferences. The monitoring system, as the expected outcomes of this project, will modernise the current maintenance practices towards condition-based predictive maintenance, reducing unplanned downtime, increasing productivity and reducing maintenance costs for the Australian mining industry. It will also add more value to the Australian manufactured products. Read moreRead less
Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less
Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings a ....Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings and outcomes of this research will advance the knowledge and practice of hard-rock mining machines in Australia. The success of this project will significantly increase mining productivity and reduce human injuryRead moreRead less
Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostic ....Dynamic model assisted fault diagnostics of wind turbine gearbox. This project aims to develop novel condition monitoring methodologies for the gearbox of large horizontal-axis wind turbines which are widely installed in wind farms for generating renewable energy. This project expects to generate a new diagnostic framework by integrating dynamic model assisted simulations and digital twin-based approaches. Expected outcomes of this project include new vibration-based methods for fault diagnostics and predictions of the remaining useful life of turbine gearboxes. This should provide significant benefits to the Australian Wind Industry by ensuring reliable operation of wind turbines, reducing turbine downtime and reducing operation and maintenance costs; ultimately lowering the cost of energy from wind.Read moreRead less
Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.Read moreRead less