Practical model-based control for low emission and low cost diesel engines. Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model bas ....Practical model-based control for low emission and low cost diesel engines. Practical model-based control for low emission and low cost diesel engines. This project aims to develop and implement robust multivariable model predictive control algorithms for low emission and low cost diesel engines that reduce calibration effort. Legislative and increasing consumer requirements demand better control approaches than have been deployed in production vehicles to date, and motivate the use of model based techniques to meet performance and emissions specifications. However, current model-based controllers amplify the calibration effort and increase development costs as the tuning parameters are not related to time domain specifications. The anticipated outcome is new model based control architectures that improve diesel engine operation and reduce its calibration effort and cost.Read moreRead less
Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through dee ....Damage Detection and Quantification using Infrastructure Digital Twins. Structural health monitoring is vital for infrastructure assets management as early detection of structural conditions is key to both safety and ongoing maintenance. This project combines computer vision, vibration tests, finite element modelling and deep learning technologies to develop an efficient structural health monitoring system. Digital twins created from images taken by cameras or UAVs will be correlated through deep learning with structural conditions and load-carrying capacities obtained from vibration tests and finite element model analysis for efficient structural damage detection and quantification. The project will lead to effective structural health monitoring and enhance structural safety and reduce maintenance costs. Read moreRead less
Engineering defect-intensive ozonation catalysts to degrade micropollutants. This project aims to engineer unique particles containing defect-intensive surfaces which are designed to accelerate the catalytic ozonation of waters contaminated with pharmaceuticals and other recalcitrant pollutants. This will enable timely treatment of industrial waste water as well as sewerage treatment plant effluents using simple and cheap catalyst materials. Wet- and flame-based particle fabrication technologies ....Engineering defect-intensive ozonation catalysts to degrade micropollutants. This project aims to engineer unique particles containing defect-intensive surfaces which are designed to accelerate the catalytic ozonation of waters contaminated with pharmaceuticals and other recalcitrant pollutants. This will enable timely treatment of industrial waste water as well as sewerage treatment plant effluents using simple and cheap catalyst materials. Wet- and flame-based particle fabrication technologies paired with unique post-synthesis treatment strategies, including either a coupled hydrogenation-illumination approach or plasma exposure, will be implemented for defect manipulation so as to produce new cheaper, stable, and higher-performing catalysts for activating ozone to treat water containing pharmaceutical and endocrine disrupting micro-pollutants under different process conditions.Read moreRead less
Wideband Silicon-Based Radio-Frequency Front-End Module for 5G New Radio . The project aims to advance knowledge in radio-frequency integrated circuit design in low-cost silicon technologies, particularly power amplifiers design with enhanced energy efficiency at output power back-off levels. The intended outcome of this project will be a wideband RF front-end module with beam steering capability that can cover the 24-50 GHz spectrum band. This will ultimately enable the creation of a low-cost a ....Wideband Silicon-Based Radio-Frequency Front-End Module for 5G New Radio . The project aims to advance knowledge in radio-frequency integrated circuit design in low-cost silicon technologies, particularly power amplifiers design with enhanced energy efficiency at output power back-off levels. The intended outcome of this project will be a wideband RF front-end module with beam steering capability that can cover the 24-50 GHz spectrum band. This will ultimately enable the creation of a low-cost and energy-efficient 5G millimetre-wave network that could potentially trigger the development of ultra-reliable low latency communications, which is critical for emerging intelligent transportation systems and will maintain Australia’s leadership position in the development of break-through wireless technology.Read moreRead less
Low-Cost Wireless Transmitter with Compact Package for Industrial Sensing . This project aims to provide a solid foundation for silicon-based transmitter design with beam-steering capability operating beyond 100 GHz. The project expects to advance knowledge in low-cost radio-frequency integrated circuit design with miniaturised packaging technology for use in industrial sensing. Expected outcomes of this project include a prototype consisting of a miniaturised 140-GHz phased-array transmitter wi ....Low-Cost Wireless Transmitter with Compact Package for Industrial Sensing . This project aims to provide a solid foundation for silicon-based transmitter design with beam-steering capability operating beyond 100 GHz. The project expects to advance knowledge in low-cost radio-frequency integrated circuit design with miniaturised packaging technology for use in industrial sensing. Expected outcomes of this project include a prototype consisting of a miniaturised 140-GHz phased-array transmitter with packaged antenna arrays, along with a developed selection guideline to choose the "best" silicon-based technology node for cost-effective design. This should provide benefits for organisations working on wireless sensing technologies and lead to new ways of using these technologies for a variety of emerging applications.Read moreRead less
Microfluidic platforms for studying foam cell formation in vessels . This project aims to create technology platforms, utilising microfluidics and machine learning, to study the fundamental biological processes underlying the accumulation of immune cells underneath the vessel wall, which is known as foam cell formation. This project expects to deliver technologies, which facilitate mimicking and analysis of the complex dynamics of the human vessels in a more accurate, time- and cost-effective ma ....Microfluidic platforms for studying foam cell formation in vessels . This project aims to create technology platforms, utilising microfluidics and machine learning, to study the fundamental biological processes underlying the accumulation of immune cells underneath the vessel wall, which is known as foam cell formation. This project expects to deliver technologies, which facilitate mimicking and analysis of the complex dynamics of the human vessels in a more accurate, time- and cost-effective manner. The expected outcome will be cutting-edge tools and techniques to better understand the fundamental biological mechanisms driving foam cell formation. This should facilitate the development of future cardiovascular drug discovery technologies, which would benefit the biotechnology and pharmaceutical industries.Read moreRead less
Engineering improved technology for nanoparticle-based adjuvant manufacture. Over the next decade nanotechnology will redefine vaccines for animal and human health. Nanoparticle adjuvants will boost engineered vaccines that use minimal antigens such as recombinant proteins and synthetic peptides. This project aims to develop a platform technology for making and controlling the properties of inulin nanoparticles by optimising the engineering and manufacturing aspects of inulin nanoparticles to fu ....Engineering improved technology for nanoparticle-based adjuvant manufacture. Over the next decade nanotechnology will redefine vaccines for animal and human health. Nanoparticle adjuvants will boost engineered vaccines that use minimal antigens such as recombinant proteins and synthetic peptides. This project aims to develop a platform technology for making and controlling the properties of inulin nanoparticles by optimising the engineering and manufacturing aspects of inulin nanoparticles to fundamentally understand the relationship between physical-chemical properties and efficacy. Completion of this project aims to produce potent nanoparticle-based adjuvants underpinned by novel manufacturing technology, to ultimately facilitate the development of more effective and protective vaccines for animals and humans.Read moreRead less
Experimental investigation and constitutive modelling of reactive soils. This project aims to develop the fundamental knowledge, a mechanical framework and practical engineering design tools needed to minimise the effects of reactive soils on infrastructure. Reactive soils undergo significant swelling and weakening upon wetting or intrusion by salt-rich groundwater and shrinkage upon drying. This can result in damage to buildings and infrastructure beyond a state of repair. This project will dev ....Experimental investigation and constitutive modelling of reactive soils. This project aims to develop the fundamental knowledge, a mechanical framework and practical engineering design tools needed to minimise the effects of reactive soils on infrastructure. Reactive soils undergo significant swelling and weakening upon wetting or intrusion by salt-rich groundwater and shrinkage upon drying. This can result in damage to buildings and infrastructure beyond a state of repair. This project will develop tools, models and theories to detect weaknesses in the design of infrastructure and its foundations built on problematic reactive soils, assess the impact and implement effective remedial measures to improve performance. The project is expected to increase efficiency through improved design and reduced damage, and save infrastructure owners, government and private, tens of millions of dollars each year.Read moreRead less
Combining transient micro-reflections and multi-sensor arrays for condition assessment of buried pipes. This project will develop an accurate and reliable approach for assessing the condition of pipelines. This new approach will reduce costs and save considerable amounts of water each year, as it will assist utilities in preventing major failures such as pipe bursts, and performing strategically targeted maintenance, replacement and rehabilitation.
Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city enviro ....Detecting developing cracks before pipe bursts using smart sensor systems. This project aims to significantly reduce the number of pipe bursts in cities by detecting the leaks from developing cracks on water supply pipes just in time. New techniques will be developed for reliable and timely detection using the existing sensor network in the Adelaide CBD. Specialised monitoring stations will be developed with adaptive noise-cancellation algorithms to detect small leak signals in noisy city environments. Expected outcomes include an effective pipe burst early warning system and the implementation of an active burst prevention and targeted pipe replacement strategy. This should significantly reduce the burst rates and associated interruptions in Adelaide and save millions of dollars every year in pipe relay programs.Read moreRead less