Design tools for optimising data centre layout to minimise energy usage. Data centres are major consumers of energy worldwide, mainly through the need to cool the equipment. It has become imperative to develop the science for reducing this consumption. Rising computing demand, increasing power density, and increasing infrastructure and energy costs are major issue for data centres around the world. Our research will provide a powerful alternative to conventional thermal management techniques for ....Design tools for optimising data centre layout to minimise energy usage. Data centres are major consumers of energy worldwide, mainly through the need to cool the equipment. It has become imperative to develop the science for reducing this consumption. Rising computing demand, increasing power density, and increasing infrastructure and energy costs are major issue for data centres around the world. Our research will provide a powerful alternative to conventional thermal management techniques for cooling high-density heat loads in mixed-density environments. We will address the key issue of energy minimisation through a detailed flow analyses by the use of numerical simulations and optimisation algorithms.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
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