Prediction and optimisation of the acoustic performance of mufflers for sleep apnea devices. ResMed is a world leader in the technology of developing products for treating obstructive sleep apnea (OSA). ResMed provided the first successful non-invasive treatment of OSA with their sleep apnea device. Noise reduction is an important issue in the development of this product, since these devices operate on a bedside table. This project will enable the acoustic performance of these small irregularly ....Prediction and optimisation of the acoustic performance of mufflers for sleep apnea devices. ResMed is a world leader in the technology of developing products for treating obstructive sleep apnea (OSA). ResMed provided the first successful non-invasive treatment of OSA with their sleep apnea device. Noise reduction is an important issue in the development of this product, since these devices operate on a bedside table. This project will enable the acoustic performance of these small irregularly shaped mufflers to be reliably predicted and optimised. The successful outcomes will improve the quality of the well-being of the user. This research also has relevance to the design of mufflers for use in broader applications such as locomotives and ferries.Read moreRead less
Electrorheological Fluid-based Actuators. The proposed project will make significant contribution towards both fundamental understanding of nanoparticle materials and the development of novel nanomaterial based devices. It is expected that new technology obtained from this research will be transferred to the automotive industry in Australia. It will also strengthen the collaboration between Australia and other countries, such as Hong Kong where research is also at the forefront in this field. Au ....Electrorheological Fluid-based Actuators. The proposed project will make significant contribution towards both fundamental understanding of nanoparticle materials and the development of novel nanomaterial based devices. It is expected that new technology obtained from this research will be transferred to the automotive industry in Australia. It will also strengthen the collaboration between Australia and other countries, such as Hong Kong where research is also at the forefront in this field. Australian research students and engineers will also gain training opportunities from this project.Read moreRead less
Fatigue Life Prediction of Nano-filler Modified Composites. The proposed project aims to study the behaviour and the failure mechanisms of polymer nanocomposites under cyclic loading. The outcomes of the project will make original contributions to our knowledge base on such materials. The mechanics modelling and statistical analysis of the prediction of fatigue life will provide a sound physical basis and a useful tool for any future improvement and optimisation of the composites to achieve bett ....Fatigue Life Prediction of Nano-filler Modified Composites. The proposed project aims to study the behaviour and the failure mechanisms of polymer nanocomposites under cyclic loading. The outcomes of the project will make original contributions to our knowledge base on such materials. The mechanics modelling and statistical analysis of the prediction of fatigue life will provide a sound physical basis and a useful tool for any future improvement and optimisation of the composites to achieve better reliability and integrity in their intended applications. This study will bring economic benefits to the end-users of advanced material technology including the Australian materials industries. Read moreRead less
Development of a Compartment Fire Behaviour Training (CFBT) Database. In recent years, incidents of fire flashover have caused considerable destruction to property and the loss of life. Fire prediction and understanding is an area of significance to both the Australian public and the firefighting profession. The NSW Fire Brigade has recently introduced Compartment Fire Behaviour Training (CFBT). To extend this scheme, a database of configurations will be developed using computational modelling, ....Development of a Compartment Fire Behaviour Training (CFBT) Database. In recent years, incidents of fire flashover have caused considerable destruction to property and the loss of life. Fire prediction and understanding is an area of significance to both the Australian public and the firefighting profession. The NSW Fire Brigade has recently introduced Compartment Fire Behaviour Training (CFBT). To extend this scheme, a database of configurations will be developed using computational modelling, allowing firefighters the ability to experience virtually different situations. Detailed experimental studies will be conducted to validate the numerical model. This database will have use and significance beyond Australia and successful implementation promises reductions in the loss of life and property.Read moreRead less
Active vibration control of a fluid loaded cylinder using inertial and reactive actuators. The active control technology outlined in this proposal presents a practical solution for low frequency noise problems associated with a submarine. The successful outcomes will be directly applicable to the Collins Class submarine, and thereby will greatly benefit Australia's naval defence industry. The active control transducer technology developed in this project will be patented, and has the potential t ....Active vibration control of a fluid loaded cylinder using inertial and reactive actuators. The active control technology outlined in this proposal presents a practical solution for low frequency noise problems associated with a submarine. The successful outcomes will be directly applicable to the Collins Class submarine, and thereby will greatly benefit Australia's naval defence industry. The active control transducer technology developed in this project will be patented, and has the potential to result in great commercial value for Australia. This project will contribute significantly to Australian research capacity in cutting-edge technologies in active vibration control. The collaboration between UNSW and the Maritime Platforms Division of DSTO will promote technology transfer and enhance Defence research expertise.Read moreRead less
An experimental and theoretical programme of research to resolve major obstruction-to-flow problems in bins and stockpiles. Many of Australia's industries rely on the efficient storage and handling of bulk solids materials such as minerals, chemicals, food-stuffs, agricultural products and pharmeceuticals. Often the handling processes are inefficient to the extent of affecting the economics of the industry. Here we propose two projects addressing those inefficiences resulting from stable obstr ....An experimental and theoretical programme of research to resolve major obstruction-to-flow problems in bins and stockpiles. Many of Australia's industries rely on the efficient storage and handling of bulk solids materials such as minerals, chemicals, food-stuffs, agricultural products and pharmeceuticals. Often the handling processes are inefficient to the extent of affecting the economics of the industry. Here we propose two projects addressing those inefficiences resulting from stable obstructions, such as "rat-holes", and those experimental arising from the unusual flow characteristics of fine powders. The major objectives are to use experimental and advanced mathematical modelling techniques, to produce reliable design models which minimise the occurrence of stable obstructions and provide reliable methods for increasing fine powder flow rates.Read moreRead less
Mathematical modelling of two-phase industrial granular flows. In many industrial processes involving flowing granular materials, the effect of air pressure can be significant. Such examples include pneumatic conveying, lock hoppers and air-impact moulding. The effect of pressurised air on a granular material can either compact it, or can cause sudden large flows. To model such complex phenomena, the frictional effects between the air and the solid granules must be accurately incorporated into a ....Mathematical modelling of two-phase industrial granular flows. In many industrial processes involving flowing granular materials, the effect of air pressure can be significant. Such examples include pneumatic conveying, lock hoppers and air-impact moulding. The effect of pressurised air on a granular material can either compact it, or can cause sudden large flows. To model such complex phenomena, the frictional effects between the air and the solid granules must be accurately incorporated into a two-phase continuum mechanical model for granular materials. This proposal will develop advanced mathematical models and computational procedures to predict complex two-phase granular flows for industrial problems.Read moreRead less
Development of Robust Control Systems for Magneto-Rheological Fluid-Based Smart Structures. Possessing the ability to withstand such destructive dynamic loading as gusty winds, fierce waves, and earthquakes, the smart structures of the future will enjoy the unprecedented safety and comfort bringing to their occupants and contents. This will directly benefit Australians. The development of the smart structure technology will also give domestic consultants the ability to compete internationally ....Development of Robust Control Systems for Magneto-Rheological Fluid-Based Smart Structures. Possessing the ability to withstand such destructive dynamic loading as gusty winds, fierce waves, and earthquakes, the smart structures of the future will enjoy the unprecedented safety and comfort bringing to their occupants and contents. This will directly benefit Australians. The development of the smart structure technology will also give domestic consultants the ability to compete internationally, resulting in obvious economic dividends and advantages benefiting Australia. Moreover, a successful effort leading to a major breakthrough of the important area of seismic protection research will have a significant impact far beyond the border of this country.Read moreRead less
A hybrid approach to predict the structure-borne noise transmission in ship structures using a waveguide method and Statistical Energy Analysis. The prediction of structure-borne noise transmission in large welded ship structures is required, in order to design maritime vessels with greater ship power and reduced weight, without increasing the noise levels. The aim of this project is to develop a hybrid approach for structural dynamic analyses using an analytical waveguide method and Statistical ....A hybrid approach to predict the structure-borne noise transmission in ship structures using a waveguide method and Statistical Energy Analysis. The prediction of structure-borne noise transmission in large welded ship structures is required, in order to design maritime vessels with greater ship power and reduced weight, without increasing the noise levels. The aim of this project is to develop a hybrid approach for structural dynamic analyses using an analytical waveguide method and Statistical Energy Analysis. The theoretical estimation and associated experimental measurement of the SEA parameters (modal density, coupling and internal loss factors) form the basis for the hybrid approach. The outcomes will result in improved predictive techniques for dynamic analyses of large complex resonant structures.Read moreRead less
Theoretical and Numerical Analyses on Smart-Cut Technology. Smart-cut is an innovative and effective technique for fabricating high quality silicon-on-insulator structures which are widely used in the semiconductor and microelectronics industries. The quantification of the effects of processing parameters and the optimization of smart-cut process will be conducted in this project. The results are expected to make significant contributions to reducing cost, increasing efficiency and optimizing pr ....Theoretical and Numerical Analyses on Smart-Cut Technology. Smart-cut is an innovative and effective technique for fabricating high quality silicon-on-insulator structures which are widely used in the semiconductor and microelectronics industries. The quantification of the effects of processing parameters and the optimization of smart-cut process will be conducted in this project. The results are expected to make significant contributions to reducing cost, increasing efficiency and optimizing procedure by providing a theoretical and quantitative design methodology to improve the smart-cut technique. Consequently, the outcomes and results of the project will bring many benefits to and encourage further R&D in the semiconductor and microelectronics industries in Australia.Read moreRead less