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
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
A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optima ....A Novel Multilevel Modelling Framework to Design Diamond Nanothread Bundles. This project aims to develop a novel, computationally-based framework to optimally and efficiently design new fibre materials based on the diamond nanothreads synthesized by the PI in 2014. The CIs (and others) have demonstrated the tremendous promise these materials hold to replace common carbon fibres. The proposed framework will combine advanced computer modelling, statistical learning, genetic algorithm-based optimal design and experimental validations. It will accelerate the design of these new carbon-based fibres as game-changing materials in a wide range of areas. Ultimately this project has the potential to deliver significant economic benefits and will place Australia at the forefront of the industrial revolution of the future.Read moreRead less
Dynamic Properties of Mechanical Metamaterials: Optimization and Experiment. The aim of this project is to develop novel mechanical metamaterials through topology optimization for manipulating the propagation of elastic and acoustic waves. Mechanical metamaterials achieve exotic dynamic properties, which have many applications ranging from noise management and vibration control to defence. The computational tool and optimization algorithms to be developed will seamlessly integrate with additive ....Dynamic Properties of Mechanical Metamaterials: Optimization and Experiment. The aim of this project is to develop novel mechanical metamaterials through topology optimization for manipulating the propagation of elastic and acoustic waves. Mechanical metamaterials achieve exotic dynamic properties, which have many applications ranging from noise management and vibration control to defence. The computational tool and optimization algorithms to be developed will seamlessly integrate with additive manufacturing to enable the end-users to characterize, design and fabricate the next generation of mechanical metamaterials in an effective way. The outcomes of this project offer significant benefits for the long-term and sustainable development of knowledge-based economy in Australia.Read moreRead less
Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition ....Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition and micro-texturing via modelling of the light absorption and heat transport within these complex nanocomposite structures. The intended outcome of the project is a set of commercially competitive absorber coatings, with superior performance and durability, that support the development of CSP as a competitive technology for energy generation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101382
Funder
Australian Research Council
Funding Amount
$425,775.00
Summary
Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local reso ....Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local resonators coupled with vibration energy harvesting mechanisms and nonlinear electrical circuitry. This will promote the development of next-generation multifunctional metastructures. Knowledge produced should improve the durability of structural components and empower sustainable wireless monitoring with self-powered sensors.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100020
Funder
Australian Research Council
Funding Amount
$3,058,152.00
Summary
ARC Research Hub for Integrated Energy Storage Solutions. The ARC Research Hub for Integrated Energy Storage Solutions aims to develop advanced energy storage technologies, including printed batteries, structural supercapacitors, innovative fuel cells and power-to-gas systems. It plans to integrate these storage solutions with existing energy networks and applications using novel storage monitoring, control and optimisation technologies. The Hub is expected to generate new knowledge in storage t ....ARC Research Hub for Integrated Energy Storage Solutions. The ARC Research Hub for Integrated Energy Storage Solutions aims to develop advanced energy storage technologies, including printed batteries, structural supercapacitors, innovative fuel cells and power-to-gas systems. It plans to integrate these storage solutions with existing energy networks and applications using novel storage monitoring, control and optimisation technologies. The Hub is expected to generate new knowledge in storage technology manufacturing, control and management. Expected outcomes include cheaper and more effective storage devices and better storage integration solutions, supporting renewables, reducing carbon emissions, and improving efficiency in the energy sector. Resulting benefits include a more sustainable, secure, reliable and economically efficient energy supply. This Hub will contribute to improving the economic efficiency of Australia’s energy sector.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100273
Funder
Australian Research Council
Funding Amount
$407,679.00
Summary
Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expe ....Supercomputing to understand track buckling and related train derailments. This project aims to understand the contributions of railway train forces to a dangerous and high-cost track dynamic behaviour called buckling; by developing a supercomputing method that unlocks the capability for large-scale 3D train-track interaction research for railway trains of up to 250 vehicles. This project expects to generate new knowledge regarding track buckling, train derailments and train-track dynamics. Expected outcomes include a new supercomputing method for train-track dynamics and derailment research and a science-based technique to assess track buckling safety. This project should provide significant benefits to the rail industry including enhanced rail safety, lower maintenance costs and improved transport efficiency.Read moreRead less
Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating condition ....Vibration-based health monitoring of aero-engine bearings . This project will develop new vibration-based techniques to greatly improve the detection and diagnosis of faults in aero engine bearings from in-flight measurements. To achieve this goal, advances will be made on source separation algorithms to extract the weak bearing signals, and signal processing techniques to extract features for diagnosing bearing fault severity and lubrication conditions, under a wide range of operating conditions. A bearing degradation model will estimate the remaining useful life. Since rolling element bearings are among the most critical components in most machines, the results of this research will also provide massive benefits in other sectors such as mining, transportation, energy production and manufacturing.Read moreRead less