How do vortices live in spatio-temporally complex flows? The project aims to understand the fundamental mechanism of vortices occurring in flows involving spatio-temporal complexity, by using the combination of dynamical systems theory and asymptotic analysis. This innovative combined mathematical analysis will be coupled with sophisticated computations to be enabled by the international interdisciplinary collaboration between the Mathematics and Engineering at Australia and Japan. The expected ....How do vortices live in spatio-temporally complex flows? The project aims to understand the fundamental mechanism of vortices occurring in flows involving spatio-temporal complexity, by using the combination of dynamical systems theory and asymptotic analysis. This innovative combined mathematical analysis will be coupled with sophisticated computations to be enabled by the international interdisciplinary collaboration between the Mathematics and Engineering at Australia and Japan. The expected outcomes are breakthroughs in the fundamental understanding of turbulence. This should lead to significant insight into better turbulent modellings used in, for example, wide range of engineering, physiological and geophysical flows.Read moreRead less
Impact of roughness on adverse pressure gradient turbulent boundary layers. This project aims to develop a novel technique for measuring time-resolved fluid velocity vector fields in high-speed flows to investigate rough wall turbulence in adverse pressure gradient environments in unprecedented detail. By using this innovative instrument to study these widespread but poorly understood turbulent flows in power generation and transport, the project seeks to generate new knowledge. Expected outcome ....Impact of roughness on adverse pressure gradient turbulent boundary layers. This project aims to develop a novel technique for measuring time-resolved fluid velocity vector fields in high-speed flows to investigate rough wall turbulence in adverse pressure gradient environments in unprecedented detail. By using this innovative instrument to study these widespread but poorly understood turbulent flows in power generation and transport, the project seeks to generate new knowledge. Expected outcomes include the development of a new instrument and fundamental knowledge leading to improved designs with higher efficiencies in power generation and transport, resulting in significant benefits such as increased energy security, reduced greenhouse gas emissions, and improved quality of life for individuals and society.Read moreRead less
An adaptive surface for improved modelling of rough wall bounded turbulence. This project aims to improve the prediction of drag where fluid flows over rough surfaces. This is a significant problem, with the uncertainty in drag penalty prediction for shipping alone exceeding ten billion dollars annually. The societal importance of these flows demands action, yet novel approaches must be sought to efficiently explore the wide range of roughness types encountered in practice. An adaptive surface i ....An adaptive surface for improved modelling of rough wall bounded turbulence. This project aims to improve the prediction of drag where fluid flows over rough surfaces. This is a significant problem, with the uncertainty in drag penalty prediction for shipping alone exceeding ten billion dollars annually. The societal importance of these flows demands action, yet novel approaches must be sought to efficiently explore the wide range of roughness types encountered in practice. An adaptive surface is proposed, where a roughness configuration can be dialled in at the press of a button, to rapidly converge on improved models. A key outcome of this project will be improved predictive models of drag for rough wall flows. Benefits will include improved efficiencies and reduced emissions across a wide range of industries.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100754
Funder
Australian Research Council
Funding Amount
$426,154.00
Summary
Drag Prediction over Rough Surfaces using Hardware-Accelerated Simulations. This project aims to uncover the relationship between roughness topography and drag by utilising high-performance and efficient hardware acceleration. This project expects to generate new knowledge in the area of rough-wall turbulent boundary layer by using state-of-the-art hardware accelerated high fidelity simulations and machine learning techniques to identify important roughness parameters. Expected outcomes of this ....Drag Prediction over Rough Surfaces using Hardware-Accelerated Simulations. This project aims to uncover the relationship between roughness topography and drag by utilising high-performance and efficient hardware acceleration. This project expects to generate new knowledge in the area of rough-wall turbulent boundary layer by using state-of-the-art hardware accelerated high fidelity simulations and machine learning techniques to identify important roughness parameters. Expected outcomes of this project include the development of a novel, more accurate, and robust model to predict drag. This would lead to improved data-driven policies for more sustainable and profitable airline and maritime industries.Read moreRead less
On the Combustion of Green Hydrogen in Future Energy Systems. This project aims to address key fundamental issues that will facilitate the combustion of hydrogen-based fuels for power and mobility. This is achieved by applying advanced laser diagnostics and novel computational methods to turbulent flames of hydrogen fuel blends hence generating new physical knowledge and predictive models. These will provide engineers with essential tools to design and operate fuel-flexible energy systems that s ....On the Combustion of Green Hydrogen in Future Energy Systems. This project aims to address key fundamental issues that will facilitate the combustion of hydrogen-based fuels for power and mobility. This is achieved by applying advanced laser diagnostics and novel computational methods to turbulent flames of hydrogen fuel blends hence generating new physical knowledge and predictive models. These will provide engineers with essential tools to design and operate fuel-flexible energy systems that speed up the critical transition towards employing green hydrogen. Expected outcomes include novel experimental methods and databases, reliable software, and graduates capable of facilitating this transition and accelerating the global decarbonization process while positioning Australia as a hydrogen superpower.Read moreRead less
Destratification and mixing by boundary turbulence in oceans and rivers. Periods of high temperature heat the surfaces of the oceans and lowland rivers, thereby increasing stratification and inhibiting mixing. This undermines the processes that normally distribute heat and CO2 and can lead to processes like rapid destratification in rivers that can result in mass fish-kills. This project aims to reveal the mixing and destratification mechanisms driven by turbulence from wind and sudden temperatu ....Destratification and mixing by boundary turbulence in oceans and rivers. Periods of high temperature heat the surfaces of the oceans and lowland rivers, thereby increasing stratification and inhibiting mixing. This undermines the processes that normally distribute heat and CO2 and can lead to processes like rapid destratification in rivers that can result in mass fish-kills. This project aims to reveal the mixing and destratification mechanisms driven by turbulence from wind and sudden temperature change in oceanic and riverine systems through controlled laboratory experiments, targeted field measurements and theoretical modelling. Outcomes will include physical understanding, predictive models, and practical tools for waterway management, with the potential for better management of our riverine systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100933
Funder
Australian Research Council
Funding Amount
$458,183.00
Summary
Noise-reduction mechanisms in jet engines: chevrons are the answer. This project aims to develop new models to study the influence of chevrons on the exhaust of aircraft engines, which is one of the strongest sound sources during take-off. As constant exposure to high-amplitude noise in areas close to airports leads to a myriad of health problems, new strategies have been sought to mitigate this noise component. Chevrons may modify the dynamics of the noise-generating coherent structures, but mo ....Noise-reduction mechanisms in jet engines: chevrons are the answer. This project aims to develop new models to study the influence of chevrons on the exhaust of aircraft engines, which is one of the strongest sound sources during take-off. As constant exposure to high-amplitude noise in areas close to airports leads to a myriad of health problems, new strategies have been sought to mitigate this noise component. Chevrons may modify the dynamics of the noise-generating coherent structures, but most of their parameters are chosen by trial and error, and the mechanism that maximises noise reduction is not clear. By understanding the underlying noise-reduction mechanisms, this project will facilitate the optimal design of quieter exhaust nozzles, ameliorating the effect of aircraft noise on the local community.Read moreRead less
Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the ....Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the multiple interacting phenomena that cause panel heating, for the first time. This project will create the tools and know-how to optimise array design and solar farm development, delivering major efficiency gains and enhancing the viability of future gigascale solar projects.Read moreRead less
Towards highly-efficient hydrogen gas turbines. The increasing interest in green hydrogen has led to a need for research and development in combustion systems that can accommodate hydrogen. One promising technology is low-emission gas turbines, which is a key player in the electricity market. However, hydrogen gas turbines are susceptible to a phenomenon called thermoacoustic instability, causing loud noise and can damage equipment. This project represents the first comprehensive study of the ef ....Towards highly-efficient hydrogen gas turbines. The increasing interest in green hydrogen has led to a need for research and development in combustion systems that can accommodate hydrogen. One promising technology is low-emission gas turbines, which is a key player in the electricity market. However, hydrogen gas turbines are susceptible to a phenomenon called thermoacoustic instability, causing loud noise and can damage equipment. This project represents the first comprehensive study of the effects of hydrogen fuel on thermoacoustic instability under conditions relevant to gas turbines. By examining low-order models, commonly used for designing gas turbines, this project can significantly advance the field and facilitate the adoption of green hydrogen as a fuel source.Read moreRead less