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
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
An investigation of granular stress fields and permeability interactions in gas-solid flow. This project will provide the fundamental theoretical basis for a completely new approach to the design of dense phase pneumatic conveying systems. This will lead to improved energy efficiency, significantly greater operational reliability and reduced wear of system components for the transport of bulk solids in the resource and process industries.
Modelling of Slug Pneumatic Conveying with an In-situ Microprobe Sensor. This project aims to develop a particle-scale microprobe to capture the transient dynamics of particle behaviours for pneumatic conveying. Slug flow pneumatic transport of granular materials such as mineral particles and food grains is extremely popular across the processing industry. However, without the fundamental understanding of the conveying mechanism at the particulate level, pneumatic conveyors are over-designed and ....Modelling of Slug Pneumatic Conveying with an In-situ Microprobe Sensor. This project aims to develop a particle-scale microprobe to capture the transient dynamics of particle behaviours for pneumatic conveying. Slug flow pneumatic transport of granular materials such as mineral particles and food grains is extremely popular across the processing industry. However, without the fundamental understanding of the conveying mechanism at the particulate level, pneumatic conveyors are over-designed and energy intensive. The project aims to enable accurate measurement of the motion, inertia and force information at the particle scale, so as to produce more accurate design protocols for such a conveying system. Improved pneumatic conveyors may have the potential to reduce the energy consumption in such systems by up to a factor of 10.Read moreRead less
Modelling and characterisation of biomass materials for pneumatic transport. This project aims to develop a particle scale microprobe to capture the transient dynamics of biomass compaction, dilation and associated airflow for pneumatic conveying and potentially beyond. Low velocity, dense phase pneumatic transport presents the ideal method for transporting delicate biomass feedstocks. However, without the fundamental understanding of the compactive and dilative response of biomass ensembles, pn ....Modelling and characterisation of biomass materials for pneumatic transport. This project aims to develop a particle scale microprobe to capture the transient dynamics of biomass compaction, dilation and associated airflow for pneumatic conveying and potentially beyond. Low velocity, dense phase pneumatic transport presents the ideal method for transporting delicate biomass feedstocks. However, without the fundamental understanding of the compactive and dilative response of biomass ensembles, pneumatic conveyors will be over-designed and energy intensive. This project will enable accurate measurement of the motion, inertia and force information at the particle scale, to produce more accurate design protocols for dense phase biomass pneumatic transport.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.
In situ neutron diffraction mapping of tri-axial stress distributions in particulate systems. Compacting powders, which are critical in industries such as metal, advanced ceramic and pharmiceutical manufacturing, will be studied in real time using advanced neutron diffraction techniques. This will allow the three-dimensional mapping of stresses and strains within small volumes of the powder deep inside realistic compaction equipment.