Development of Canonical Mist Filter Models. Over one million tonnes of oil (mist) is wasted every year – and emitted to the atmosphere through inefficient filtration. Over 50 per cent of energy usage in most process industries is for filtration and separation processes, yet mist filters and separators are largely designed by trial and error, resulting in sub-optimal, inefficient designs. Recent advances by the research team have, only now, made it possible to develop accurate models for such sy ....Development of Canonical Mist Filter Models. Over one million tonnes of oil (mist) is wasted every year – and emitted to the atmosphere through inefficient filtration. Over 50 per cent of energy usage in most process industries is for filtration and separation processes, yet mist filters and separators are largely designed by trial and error, resulting in sub-optimal, inefficient designs. Recent advances by the research team have, only now, made it possible to develop accurate models for such systems. This work intends to be the first to develop accurate, broadly applicable models for all processes in mist filters, thereby providing immense process efficiency benefits, together with improved worker and environmental protection, and less wastage of dwindling oil resources.Read moreRead less
Optimisation of Dual Fuel Compression Ignition (Diesel) Engines With Respect to Engine Performance and Pollutant Emissions. A successful dual-fuel compression ignition (diesel) engine technology utilizing renewable alcohol fuels will provide a commercially attractive, immediate solution to the global fuel challenges of security and cost of oil supply, greenhouse gas emissions, and air quality . This project provides both the rigorous laboratory and field testing required to develop, test, optim ....Optimisation of Dual Fuel Compression Ignition (Diesel) Engines With Respect to Engine Performance and Pollutant Emissions. A successful dual-fuel compression ignition (diesel) engine technology utilizing renewable alcohol fuels will provide a commercially attractive, immediate solution to the global fuel challenges of security and cost of oil supply, greenhouse gas emissions, and air quality . This project provides both the rigorous laboratory and field testing required to develop, test, optimize and validate both engine performance and pollution emissions. This ethanol dual fuel approach has the potential to reduce Australia's dependence on imported fuels, support the development of regional agriculture and employment through the expansion of the biofuels industry and enhance the environmental performance of transport and stationary engines.Read moreRead less
Optimising gaseous and particulate emissions from diesel engines. About $3.7 billion is spent annually in Australia on respiratory diseases. Diesel vehicle emissions of nano- and ultra-fine urban air particulate pollution are a significant factor in this disease. This project will directly addresses this problem by developing a technology to monitor and reduce diesel particulate emissions.
Artificial intelligent system for integrated wear debris analysis and vibration analysis in machine condition monitoring. Vibration and wear debris analyses are the two main condition monitoring techniques for machinery maintenance and fault diagnosis. However, they can diagnose less than 50% of faults. A series of experimental and theoretical studies on the correlation of the two techniques will be conducted. This project will integrate advanced technologies including 3D microscopy, neural netw ....Artificial intelligent system for integrated wear debris analysis and vibration analysis in machine condition monitoring. Vibration and wear debris analyses are the two main condition monitoring techniques for machinery maintenance and fault diagnosis. However, they can diagnose less than 50% of faults. A series of experimental and theoretical studies on the correlation of the two techniques will be conducted. This project will integrate advanced technologies including 3D microscopy, neural networks and expert systems to develop an artificial intelligent system based on the dependent and independent roles of the two condition monitoring techniques. Successful outcomes will result in an improved maintenance program and reduction in human involvement, and will provide significant economic benefit to engineering industries.Read moreRead less
A new biomechanical model for understanding aging of stored Red Blood Cells. This project plans to develop a novel modelling framework to accurately represent the biomechanical properties of red blood cells (RBCs) over time under stored conditions. Stored RBCs suffer ageing-related deformability changes which impede RBC functions. The framework aims to integrate models for RBC membrane, inside haemoglobin and outside storage solution, and accounts for ageing effects by embedding time-dependent c ....A new biomechanical model for understanding aging of stored Red Blood Cells. This project plans to develop a novel modelling framework to accurately represent the biomechanical properties of red blood cells (RBCs) over time under stored conditions. Stored RBCs suffer ageing-related deformability changes which impede RBC functions. The framework aims to integrate models for RBC membrane, inside haemoglobin and outside storage solution, and accounts for ageing effects by embedding time-dependent correlations. It should provide new insights and understanding of the mechanisms of deformability changes of RBCs during stored lifespan. Therefore, it should significantly improve blood storage industry practices in terms of improving RBC storage protocols with preventative ageing strategies.Read moreRead less
Nonlinear modelling, analysis and prediction of optimal conditions for cold roll forming. This project investigates fundamental analytical and experimental aspects of the highly nonlinear process of cold roll forming of flat steel strip to shaped product in order to gain predictive understanding and determine optimal process conditions. The project aims to develop an innovative software system that will permit operators to balance and optimize mill productivity, energy consumption, mill downtim ....Nonlinear modelling, analysis and prediction of optimal conditions for cold roll forming. This project investigates fundamental analytical and experimental aspects of the highly nonlinear process of cold roll forming of flat steel strip to shaped product in order to gain predictive understanding and determine optimal process conditions. The project aims to develop an innovative software system that will permit operators to balance and optimize mill productivity, energy consumption, mill downtime, and product change over times and facilitate the development of new productsRead moreRead less
Minimization of emissions from dimethyl ether (DME) combustion in a diesel engine. The project works on the utilization of dimethyl ether, an innovative clean fuel produced from coal or natural gas, as a diesel substitute. The utilization of DME in diesel engines can potentially reduce the emissions by 90%, making it possible to meet the strictest engine standard. In the meantime the engine efficiency can be improved. The outcomes of the project will help accelarate the maturity of the DME mark ....Minimization of emissions from dimethyl ether (DME) combustion in a diesel engine. The project works on the utilization of dimethyl ether, an innovative clean fuel produced from coal or natural gas, as a diesel substitute. The utilization of DME in diesel engines can potentially reduce the emissions by 90%, making it possible to meet the strictest engine standard. In the meantime the engine efficiency can be improved. The outcomes of the project will help accelarate the maturity of the DME market in Australia. Read moreRead less
An intelligent maintenance decision system for the water utility industry. The reliability and maintenance of pump stations is of paramount importance to the water utility industries. In Australia, the maintenance of assets for the water and wastewater industry amounts to $927m per annum. This research will develop an intelligent maintenance decision support system to reduce maintenance costs in pumping stations with increased reliability. The outcomes of the research will significantly improve ....An intelligent maintenance decision system for the water utility industry. The reliability and maintenance of pump stations is of paramount importance to the water utility industries. In Australia, the maintenance of assets for the water and wastewater industry amounts to $927m per annum. This research will develop an intelligent maintenance decision support system to reduce maintenance costs in pumping stations with increased reliability. The outcomes of the research will significantly improve the reliability and supply security of water systems to Queensland's rural and regional communities and industries. It will also advance the body of knowledge of the field of integrated asset management and enhance Australia's international standing in this field.Read moreRead less
An innovative wind power system primarily for urban environments. The project aims to develop a novel rotor vane array wind power system that can be used as a roof fence or balcony on existing or new buildings. Traditional wind turbines cannot fully realise the potential of excellent wind speed in tall buildings because of space efficiency, visual impact, and danger or noise issues. The system to be developed in the project incorporates advanced active flow control that addresses these issues. T ....An innovative wind power system primarily for urban environments. The project aims to develop a novel rotor vane array wind power system that can be used as a roof fence or balcony on existing or new buildings. Traditional wind turbines cannot fully realise the potential of excellent wind speed in tall buildings because of space efficiency, visual impact, and danger or noise issues. The system to be developed in the project incorporates advanced active flow control that addresses these issues. The project plans to conduct a structured program of numerical and experimental studies, the intended outcomes of which will contribute to energy security, progress towards zero emissions and sustainable living, and lead to innovative architecture of the future.Read moreRead less
Integrated on-chip force and displacement sensors for high-speed atomic force microscopy of ultimate sensitivity. This project aims to develop next generation atomic force microscopy systems based on a novel interferometric method for on-chip force and displacement sensing. The proposed sensitivity improvement of two orders of magnitude over the present state-of-the-art will provide a disruptive innovation for various present and future nanotechnologies.