The study of wear debris using advanced technologies. A large portion of the operating cost of machinery is associated with wear due to the interaction between moving surfaces, which generates wear particles as by-products. The wear particles thus carry information regarding the wearing process, and can be used to assess the machine's condition and further facilitate failure prediction and minimise maintenance. This project will explore the mechanisms and possible influence of corrosion on the w ....The study of wear debris using advanced technologies. A large portion of the operating cost of machinery is associated with wear due to the interaction between moving surfaces, which generates wear particles as by-products. The wear particles thus carry information regarding the wearing process, and can be used to assess the machine's condition and further facilitate failure prediction and minimise maintenance. This project will explore the mechanisms and possible influence of corrosion on the wearing process. A new methodology will be developed to quantify the wearing process. This research will significantly advance our understanding with respect to wear and provide innovative means for identifying wear mechanisms/phases.Read moreRead less
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 role for vibration analysis in gear wear modelling and prediction. This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allo ....A new role for vibration analysis in gear wear modelling and prediction. This project aims to improve prediction of the remaining useful life of gears. Gears are widely used in industry and transport. This project aims to integrate the two main methods of gear condition monitoring, vibration and oil analysis, and perform model-based wear prediction with the tribology and dynamic models continually updated on the basis of measured wear debris and vibration. New signal processing tools should allow estimation of relatively weak friction forces, previously neglected, as an important prognostic tool. This would allow detailed root cause analysis and prediction of remaining useful life. Improvements in gear prognosis would have safety and economic benefits by eliminating unforeseen catastrophic failures and optimising maintenance schedules.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453398
Funder
Australian Research Council
Funding Amount
$161,075.00
Summary
A Non Contact Facility For Measuring Irreversible Energy, Residual Stress, and Full Field Stresses for Critical Rail Infra-Structure Assessment. To meet the national rail objectives as enunciated in the 2002 Green Paper there is an urgent requirement for a capability for: i) advanced (rail) prototype assessment, ii) rapid assessment of rail infra-structure, iii) for increasing the capacity of existing (rail) infra-structure. To address this we propose a facility with both a dissipative energy m ....A Non Contact Facility For Measuring Irreversible Energy, Residual Stress, and Full Field Stresses for Critical Rail Infra-Structure Assessment. To meet the national rail objectives as enunciated in the 2002 Green Paper there is an urgent requirement for a capability for: i) advanced (rail) prototype assessment, ii) rapid assessment of rail infra-structure, iii) for increasing the capacity of existing (rail) infra-structure. To address this we propose a facility with both a dissipative energy measurement and a 'lock in' thermograpghy capability. Recent Australian developments in thermo-elasticity enables the researchers to extend this facility to measure residual stress in complex components. The ability to measure dissipated energy, residual stress, ultrasonic waves, and full field stress will create a unique research capability.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347553
Funder
Australian Research Council
Funding Amount
$175,000.00
Summary
Smart Equipment for Remote Monitoring of Isolated and Mobile Infrastructure. The partners' research involves the collection and assessment of data to determine the condition, maintenance strategies and risk of failure of plant in diverse areas such as transport, cargo and packaging, mining and power. Recent advances in data processing, computing and telemetry mean that it is now possible to actually install small and rugged data acquisition equipment on remote infrastructure or mobile plant. T ....Smart Equipment for Remote Monitoring of Isolated and Mobile Infrastructure. The partners' research involves the collection and assessment of data to determine the condition, maintenance strategies and risk of failure of plant in diverse areas such as transport, cargo and packaging, mining and power. Recent advances in data processing, computing and telemetry mean that it is now possible to actually install small and rugged data acquisition equipment on remote infrastructure or mobile plant. This equipment can acquire, condition and process the signals and use wireless telemetry to transmit the data for remote assessment. The proposed infrastructure will enable the partners' research to be extended to these challenging applications.Read moreRead less
Automated Diagnosis of Faults in Rotating Machinery using Adaptive Network Based Fuzzy Inference. The long-term integrity of engineering assets depends on the quality of their maintenance which runs into billions of dollars per year in Australia. This project aims to develop a new fundamental automated technique for the detection and diagnosis of machinery faults. The innovation lies in the ability of this technique to not depend on knowledge of fault components in the discrete wavelet packet ....Automated Diagnosis of Faults in Rotating Machinery using Adaptive Network Based Fuzzy Inference. The long-term integrity of engineering assets depends on the quality of their maintenance which runs into billions of dollars per year in Australia. This project aims to develop a new fundamental automated technique for the detection and diagnosis of machinery faults. The innovation lies in the ability of this technique to not depend on knowledge of fault components in the discrete wavelet packet analysis. All other work conducted to date depends on knowledge of these components and their location. The results of this work will vastly improve the costly manually based diagnostics procedures in the maintenance of plant and industrial assets.Read moreRead less
Superior silicon carbide nanoscale sensors (SCANS) for harsh environments. This project aims to demonstrate a large increase in sensitivity, ultra-fast response, and super robust characteristics of nanoscale sensors suitable for harsh environment applications. Sensors in mining, power and aerospace industries must function properly in high temperature, aggressive chemical erosion, and high impact environments. Silicon carbide (SiC) sensors formed using a unique growth process of SiC films on lar ....Superior silicon carbide nanoscale sensors (SCANS) for harsh environments. This project aims to demonstrate a large increase in sensitivity, ultra-fast response, and super robust characteristics of nanoscale sensors suitable for harsh environment applications. Sensors in mining, power and aerospace industries must function properly in high temperature, aggressive chemical erosion, and high impact environments. Silicon carbide (SiC) sensors formed using a unique growth process of SiC films on large-diameter silicon wafers can meet these requirements through nanoscale structures. This project expects to bring direct economic benefits to the resource and manufacturing sectors, creating valuable intellectual property and new jobs for Australians.Read moreRead less
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
Improved patient care and image resolution in magnetic resonance imaging. A better understanding of the vibration within MRIs would result in techniques to both improve the image resolution and lower the noise emissions. Direct improvement of health care for Australians will result. Both the patient and the working environment around these scanners will improve as well as image resolution. Presently imaging is possible at the cellular scale, but only through improved MRI stability will imaging r ....Improved patient care and image resolution in magnetic resonance imaging. A better understanding of the vibration within MRIs would result in techniques to both improve the image resolution and lower the noise emissions. Direct improvement of health care for Australians will result. Both the patient and the working environment around these scanners will improve as well as image resolution. Presently imaging is possible at the cellular scale, but only through improved MRI stability will imaging reach the molecular level. Medical research that is linked to MRI imaging can be expected to advance in step with improved image resolution. The resulting knowledge could also be used in other research and industrial areas, including micro- and nano-scale devices, where vibration is a critical performance limiting factor.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