Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities fo ....Condition-Based Maintenance Optimisation for Queensland’s Railways. Rail maintainers currently use time-based (scheduled) approaches to balance the costs and benefits of inspections and maintenance. Changing to condition-based maintenance has the potential to reduce costs and improve track condition. This project aims to enable this approach for rail by developing: 1) new track degradation prediction techniques combining Big Data and engineering knowledge; 2) new on-board sensing capabilities for frequent, low-cost track monitoring; 3) novel inspection and maintenance optimisation methods to efficiently allocate resources. The knowledge generated by this project is expected to decrease maintenance costs, safety risk, and track closures and therefore enhance the affordability and reliability of rail travel.Read moreRead less
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.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.
Synergetic combination of localised internal magnesium diffusion process with cold compaction technique for fabrication of magnesium diboride (MgB2) superconductor wires. This project seeks major advancements in magnesium diboride (MgB2) superconductor performance through the development of novel techniques for the fabrication of MgB2 wire. Further improvement in MgB2 wire performance holds the key to a number of significant commercial applications, including Magnetic Resonance Imaging, fault cu ....Synergetic combination of localised internal magnesium diffusion process with cold compaction technique for fabrication of magnesium diboride (MgB2) superconductor wires. This project seeks major advancements in magnesium diboride (MgB2) superconductor performance through the development of novel techniques for the fabrication of MgB2 wire. Further improvement in MgB2 wire performance holds the key to a number of significant commercial applications, including Magnetic Resonance Imaging, fault current limiters and wind turbines.Read moreRead less
From diesel to electric: a new era in personnel transport for underground coal mines. There are many factors which give rise to poor air quality in underground coal mines with the diesel engines used to transport miners being one of the major contributors. This project will develop an alternative electric power system for these vehicles which will not only be zero emission but meet the challenging environment found in these mines.
Surface engineering of cast magnesium alloys for innovative high performance packaging robots. High performance packaging robots are in significant demand in the food, medicine and cosmetics industries. This project will solve a critical problem in the development of such robots at low cost by the novel use of cast magnesium alloys, which will greatly increase productivity and decrease energy consumption through weight reduction.
Development of new lead-free solders for use on aluminium conductors in photovoltaic systems and electric vehicles. This project will tackle a longstanding environmental issue within electrical and electronic industries through developing lead-free solder alloys for use on relatively low cost aluminium substrates. As aluminium is a very light metal, this research will have significant impact on the development of photovoltaic devices and electric vehicles. The developed technology will also prom ....Development of new lead-free solders for use on aluminium conductors in photovoltaic systems and electric vehicles. This project will tackle a longstanding environmental issue within electrical and electronic industries through developing lead-free solder alloys for use on relatively low cost aluminium substrates. As aluminium is a very light metal, this research will have significant impact on the development of photovoltaic devices and electric vehicles. The developed technology will also promote the use of aluminium alloys and bring direct benefit to Australian mining and light metal industries.Read moreRead less
Advanced signal processing techniques to improve prognostic models for rolling element bearings. Novel signal processing techniques for predicting the development of faults in rolling element bearings will be developed and employed in a statistical prognostic model. This will greatly improve the economics of operation of many different machines, including helicopters and other aircraft, mining machinery, and wind turbines.