Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings a ....Innovative metamaterial magnetorheological technology for mining machines. Hard-rock mining machines have been identified as the next generation mining technology, which will finally replace the traditional drill and blast method to increase productivity and mitigate dangerous working conditions. This project aims to develop innovative metamaterial magnetorheological elastomer joints for a typical hard-rock mining machine to improve the mining efficiency by reducing the vibration. The findings and outcomes of this research will advance the knowledge and practice of hard-rock mining machines in Australia. The success of this project will significantly increase mining productivity and reduce human injuryRead 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
Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monoton ....Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monotonically towards failure, and thus greatly improve the estimates of remaining useful equipment life. An additional benefit of the application will be the ability to predict overall noise radiation from a machine or object if both the sources and modal models are scaled.Read moreRead less
Task-centric Synthesis for Wearable Assistive Robots. Wearable Assistive Robots, designed to be worn on the human body, show tremendous potentials to provide what the wearer lacks in performing physically challenging tasks, such as seen in manufacturing, agricultural and healthcare industries. However, fundamental challenges still prevent the realisation of such benefits in the practical settings outside the laboratory. This project addresses these challenges by establishing (1) a systematic des ....Task-centric Synthesis for Wearable Assistive Robots. Wearable Assistive Robots, designed to be worn on the human body, show tremendous potentials to provide what the wearer lacks in performing physically challenging tasks, such as seen in manufacturing, agricultural and healthcare industries. However, fundamental challenges still prevent the realisation of such benefits in the practical settings outside the laboratory. This project addresses these challenges by establishing (1) a systematic design approach for wearable robots to achieve the intended task while optimising other relevant considerations, such as human factors and the practical bulk of the robot; and (2) a novel control and interaction strategy to accommodate the variations in realistic living and working environments.Read moreRead less
Topological Design of Mechanical Meta-Structures. This project aims to establish a new computational design methodology to address current challenges facing creation of ultralight structures with ultra-high-performance characteristics. The latest technologies in structural topology optimization and its correlated numerical simulation and structural analysis methods will be unified towards an integrated design framework. Expected outcomes include an advanced generative design platform for discove ....Topological Design of Mechanical Meta-Structures. This project aims to establish a new computational design methodology to address current challenges facing creation of ultralight structures with ultra-high-performance characteristics. The latest technologies in structural topology optimization and its correlated numerical simulation and structural analysis methods will be unified towards an integrated design framework. Expected outcomes include an advanced generative design platform for discovering novel geometries to underpin new meta-structure architectures, validated by appropriate fabrication techniques considering their geometric complexity. Such capabilities will benefit defence, civil, aerospace, energy and transport industries that pursue competitive advantage through innovation.Read moreRead less
Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and incre ....Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and increase in power output. Expected outcomes of this project include improved understanding of the governing physics to enable development of design tools for next-generation engines. This should provide significant benefits, such as reduced reliance on fossil fuels and a critical reduction in greenhouse gas emissions.Read moreRead less
Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodo ....Crashworthiness topology optimisation for light-weight battery compartments. This project uses computational modelling and optimisation methods to the design of battery compartments for electric vehicles. As the use of electric vehicles becomes more extensive, awareness of the consequences of catastrophic failure of high energy battery in a crash has increased. This project will develop novel design methodologies, using multi-disciplinary techniques for battery compartment structure. The methodology will expand conventional crashworthiness design to the coupled mechanical-electrochemical-thermal problems. The proposed crashworthiness optimisation of battery compartment structure will enhance safety and reliability of electric vehicles, potentially benefiting consumers and manufacturers.Read moreRead less
Constricted hydraulic fracture opening. This project aims to develop experimentally verified models for designing and monitoring of hydraulic fractures with constricted openings, to ensure adequate and robust hydraulic fracture control for example in petroleum production. Hydraulic fractures are often constricted by bridges that hold two sides of the fracture together. Failure to account for bridges and constriction of fractures can lead to premature screen-out (exceeding available pump pressure ....Constricted hydraulic fracture opening. This project aims to develop experimentally verified models for designing and monitoring of hydraulic fractures with constricted openings, to ensure adequate and robust hydraulic fracture control for example in petroleum production. Hydraulic fractures are often constricted by bridges that hold two sides of the fracture together. Failure to account for bridges and constriction of fractures can lead to premature screen-out (exceeding available pump pressure) of proppant and inadequate fracking control. The project results are expected to substantially increase the accuracy of design and monitoring of fracture opening, geometry and fluid flow to improve efficiency, safety and environmental security of the resource and energy extraction.Read moreRead less
Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and ....Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and non-contact detection suitable for hard-to-inspect surface conditions, will also be investigated. The new developments will help transform existing schedule-based maintenance practice to a condition-based maintenance paradigm, to achieve significant cost savings in maintenance.Read moreRead less