Enabling ambient intelligence for manufacturing processes through distributed camera networks. This project will develop methods to optimise and schedule networks of smart and traditional cameras in a manufacturing environment, enabling knowledge capture, manage performance and identify causes of quality degradation. This research will assist Australian manufacturers to stay competitive in the dynamic global market.
Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and be ....Innovative Magnetorheological Powertrains for Electric Heavy Duty Vehicles. An electric vehicle powertrain mainly consists of an electric motor-driven system, a mechanical transmission and other components. This project aims to explore innovative powertrains with a regenerative braking function to maximise driving range, reduce power consumption, and enhance the dynamic performance of electrified vehicles. The proposed powertrains are expected to achieve seamless gear changing for driving and better braking performance by applying magnetorheological technology for a high-quality control of power-shifting, and therefore significantly improve vehicle dynamic and economic performance. A new era of high-efficiency electric powertrains could potentially be launched through the development of these novel technologies.Read moreRead less
Comfort and ergonomics: Innovative seating solutions for commercial vehicles. Comfort and ergonomics: Innovative seating solutions for commercial vehicles. This project aims to develop a 6-degree-of-freedom seating system for commercial vehicles, including heavy duty trucks and mobile machinery, to reduce unwanted multiple directional vibrations to the driver’s body. Long-term exposure to vibrations from uneven road surfaces, vibrating tools, and vibrating machinery affects driver comfort, fatig ....Comfort and ergonomics: Innovative seating solutions for commercial vehicles. Comfort and ergonomics: Innovative seating solutions for commercial vehicles. This project aims to develop a 6-degree-of-freedom seating system for commercial vehicles, including heavy duty trucks and mobile machinery, to reduce unwanted multiple directional vibrations to the driver’s body. Long-term exposure to vibrations from uneven road surfaces, vibrating tools, and vibrating machinery affects driver comfort, fatigue and safety, and can also cause neck and shoulder pain, lower back injuries, and spinal injuries. The expected outcome of the project is a comfortable and ergonomic seating system that, agriculture, transportation, mining and construction vehicles, both in Australia and internationally, can widely use.Read moreRead less
Improving affordability of composite materials to meet sustainability challenges. The project will develop new technologies to improve the affordability of carbon fibre composites for non-aerospace applications. The outcome of this project will greatly accelerate the insertion of light-weight composites in clean-energy products, such as carbon fibre composite wheels, to drastically reduce CO2 emissions of road transport.
Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in traile ....Damage Tolerance Approach in Designing and Maintaining Truck Trailers. This project aims to develop a damage tolerance approach in designing and maintaining truck trailers. Combined with field test and computational simulation, machine learning will be used to generate loading spectrums. Following the damage tolerance philosophy, a mature approach in aerospace industry, the fatigue crack growth and the fatigue life will be predicted. In addition, structural optimisation will be applied in trailer design. This project expects to revolutionize the design and maintenance practices in Australian truck trailer industry. It should provide significant benefits, such as prolonging the life cycle of truck trailers, reducing the tare weight and increasing operating profit, to both trailer producers and users.Read moreRead less
Design of new two-dimensional materials for lithium sulphur batteries. Design of new two-dimensional materials for lithium sulphur batteries. This project aims to develop classes of electrode material systems for high performance batteries. This project will design new hierarchical cathode composites for a high capacity lithium-sulphur battery with a long cycling life. It intends to improve energy density by confining active sulphur in conductive graphene and exfoliated titanium dioxide nanoshee ....Design of new two-dimensional materials for lithium sulphur batteries. Design of new two-dimensional materials for lithium sulphur batteries. This project aims to develop classes of electrode material systems for high performance batteries. This project will design new hierarchical cathode composites for a high capacity lithium-sulphur battery with a long cycling life. It intends to improve energy density by confining active sulphur in conductive graphene and exfoliated titanium dioxide nanosheets, and use a unique hybrid protecting layer to suppress cycling instability. This research is expected to establish the relationship between synthetic conditions, structure, and electrochemical performance.Read moreRead less
Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision ....Automated Integrity Assessment of Self-Piercing Rivet Joints: i4.0 Approach. Lightweighting in the car industry by the use of aluminium reduces emissions substantially. It entails joining the car body sections by self-piercing rivets rather than the traditional spot welds. We aim to fill the technology gap for effective quality control of these joints. The project expects to solve the problem by merging industry 4.0 principles, three-dimensional X-ray technology, machine learning computer vision and structural mechanics. The expected outcomes are technologies for automation-friendly assessment of these joints. This should benefit industries from medical to electronics to automatically spot a random and delicate abnormality within a solid of complex geometry, such as that in live tissue or an electronic circuit.Read moreRead less
The Australian naturalistic driving study: innovation in road safety research and policy. A revolutionary new approach, the naturalistic driving study, will investigate what people actually do when they drive, in normal and safety-critical situations. It will provide Australia with answers to some intractable, high priority, road safety problems that cannot be answered using current methods, thereby saving hundreds of lives.
Meta-optics systems for driver-fatigue monitoring. The project aims to develop novel miniaturised optical systems for driver fatigue monitoring, which provide increased sensitivity, eliminate reflections from eyeglasses and enable accurate depth measurements of facial features. The unique performance of our optical systems is derived from the concept of optical nanostructured surfaces to allow for efficient control of light wavefront and polarisation. The project aims to apply this concept to de ....Meta-optics systems for driver-fatigue monitoring. The project aims to develop novel miniaturised optical systems for driver fatigue monitoring, which provide increased sensitivity, eliminate reflections from eyeglasses and enable accurate depth measurements of facial features. The unique performance of our optical systems is derived from the concept of optical nanostructured surfaces to allow for efficient control of light wavefront and polarisation. The project aims to apply this concept to develop six different optical elements with new functionalities and performance well beyond what is possible with conventional components. This development will enable the construction of high-performance driver monitoring systems, thus facilitating a safer driving experience for all.Read moreRead less
The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to ....The anatomy of a fatigue-related motor vehicle crash or near-crash. The anatomy of a fatigue-related motor vehicle crash or near-crash. This project aims to investigate the time course of multiple physiological and behavioural signals that lead to fall-asleep (on-road) driving events, to inform the next generation of driver state monitoring technologies. Falling asleep at the wheel remains a major cause of road crashes worldwide. Although technologies to monitor driver sleepiness are integral to the rapidly evolving autonomous vehicle industry, such technologies are limited because they measure the end-state of falling asleep, rather than the physiological and behavioural precursors, thus providing little opportunity for intervention. This project is expected to lead to new driver monitoring systems that reduce fall-asleep crashes.Read moreRead less