The Mechanisms determining the Rolling Motions of Bodies. This project aims to investigate the mechanisms affecting the rolling motions of spheres and cylinders. This international project expects to generate new knowledge of the effect of surface roughness, cavitation and compressibility using novel experimental and computational methods. Expected outcomes of this project include the discovery of the explicit role of surface roughness in allowing bodies to roll, the means of modifying these mo ....The Mechanisms determining the Rolling Motions of Bodies. This project aims to investigate the mechanisms affecting the rolling motions of spheres and cylinders. This international project expects to generate new knowledge of the effect of surface roughness, cavitation and compressibility using novel experimental and computational methods. Expected outcomes of this project include the discovery of the explicit role of surface roughness in allowing bodies to roll, the means of modifying these motions, the wake mechanisms leading to body vibration, and the mixing induced by rolling bodies. This will provide significant benefits to the understanding of the motion of particles and bodies in a range of situations such as particle reactors and sedimentation processes.
Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced sim ....Structural Reliability of Engineering Structures in Cyclonic Winds. This project aims to address the challenge of predicting the impact of extreme cyclonic winds on complex engineering structures. By applying advanced computational and experimental techniques the project expects to develop new insight into turbulent flows at a sub-cyclone scale and how these produce aerodynamic loads on closely spaced cylindrical structures and elements. The expected outcomes of this project include enhanced simulation techniques leading to better understanding of structural vulnerability to cyclones. This should provide significant benefits, such as improved structural design and cyclone mitigation strategies applicable to both high-value engineering structures and vulnerable communities in cyclone regions.Read moreRead less
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
Read moreRead less
Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge ....Physics-informed Computational Framework for Optimised Microfluidic Systems. The miniaturisation of chemical and biological processes requires microfluidic tools for the precise manipulation of complex fluids at the microscale. This project aims to integrate new computational methods that enable unprecedented control over the design and optimisation of these tools. The project will deliver a cornerstone framework to elucidate the complex microscopic fluid physics that currently poses a challenge for the advancement of microfluidic technologies. The outcomes of this project will establish physical principles to guide the design of microfluidic systems and provide the computational capabilities that can potentially transform the way researchers and engineers design, optimise and use microfluidic technologies.Read moreRead less
Understanding flapping aerodynamics in non-optimal environments. This project aims to produce a deeper understanding of factors affecting the aerodynamic forces and detailed flow dynamics of a flapping insect-like wing over a multi-dimensional parameter space with an initial focus on micro-air vehicles. The project will determine the effects of oncoming flow uniformities and environmental factors on flight performance, and how to correct for these factors to stabilise flight using feedback contr ....Understanding flapping aerodynamics in non-optimal environments. This project aims to produce a deeper understanding of factors affecting the aerodynamic forces and detailed flow dynamics of a flapping insect-like wing over a multi-dimensional parameter space with an initial focus on micro-air vehicles. The project will determine the effects of oncoming flow uniformities and environmental factors on flight performance, and how to correct for these factors to stabilise flight using feedback control. The project will use advanced computational and experimental modelling and analysis to provide specific design guidance and strategies for very-small and highly functional micro air vehicles for wide ranging applications in areas including transport, marine engineering and sport.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100157
Funder
Australian Research Council
Funding Amount
$366,446.00
Summary
Impact of spatially uniform and irregular rough surfaces on drag reduction. This project aims to understand the turbulent transport mechanism for fluid flow over spatially uniform and irregular rough walls. It will provide accurate modelling of irregular roughness and high fidelity simulations. The intended outcomes are physical understanding of the turbulence phenomenon in these flows, and novel flow control of irregular rough wall flows leading to significant drag reduction for transport indus ....Impact of spatially uniform and irregular rough surfaces on drag reduction. This project aims to understand the turbulent transport mechanism for fluid flow over spatially uniform and irregular rough walls. It will provide accurate modelling of irregular roughness and high fidelity simulations. The intended outcomes are physical understanding of the turbulence phenomenon in these flows, and novel flow control of irregular rough wall flows leading to significant drag reduction for transport industries in Australia. Benefits are relevant to both engineering applications involving rough walls and to environmental applications enabling better prediction of particulate matter dispersionRead moreRead less
Advanced Combustion Modelling for Scramjets and Rotating Detonation Engines. This project will develop new fundamental knowledge and engineering models underpinning air-breathing high speed propulsion engines employing complex hydrocarbon fuels. Extensive data and new physical understanding will be garnered through analysis of direct numerical simulations of supersonic reacting mixing layers including impinging shock waves. That data will be employed to isolate, test and develop computationally ....Advanced Combustion Modelling for Scramjets and Rotating Detonation Engines. This project will develop new fundamental knowledge and engineering models underpinning air-breathing high speed propulsion engines employing complex hydrocarbon fuels. Extensive data and new physical understanding will be garnered through analysis of direct numerical simulations of supersonic reacting mixing layers including impinging shock waves. That data will be employed to isolate, test and develop computationally efficient engineering models that are accurate and efficient for high speed combustion in rotating detonation engines and scramjets. Expected outcomes are knowledge and tools needed to develop practical and effective supersonic propulsion engines for access to space, defence and high speed point-to-point flight.
Read moreRead less
Enhancing passive cooling using flexible baffles. The project aims to develop a novel passive strategy using fluid-structure-thermal interactions to enhance passive cooling by natural convection and improve the energy efficiency of engineering systems. Comparing to the existing strategies, the new strategy does not require driving fan or pump and is quiet, reliable, self-adaptive and economical. The Multiphysics embodied in the proposal is at the leading edge of the field. Expected outcomes incl ....Enhancing passive cooling using flexible baffles. The project aims to develop a novel passive strategy using fluid-structure-thermal interactions to enhance passive cooling by natural convection and improve the energy efficiency of engineering systems. Comparing to the existing strategies, the new strategy does not require driving fan or pump and is quiet, reliable, self-adaptive and economical. The Multiphysics embodied in the proposal is at the leading edge of the field. Expected outcomes include advanced understanding of the complex Multiphysics and design rules for enhancing passive cooling by natural convection using flexible baffles. The research is expected to bring direct economic benefit to relevant industry and significant environmental and social benefit to the general public.Read moreRead less
Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directl ....Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directly but by focusing on the fundamental dynamics of the turbulent flows using large scale numerical simulations and innovative experiments, the project is expected to develop better analytical and computational models which will underpin improvements in
global ocean models and improve energy efficiency.Read moreRead less