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
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
Understanding pollutant transport in estuaries and coastal rivers. By advancing pollutant transport modelling that use recent developments in drift sensors, this project aims to investigate water quality of estuaries and coastal rivers under pressure from urban growth. The project expects to generate a new capability for quantitative particle concentration predictions through detection and innovative analysis of Lagrangian Coherent Structures. The expected outcome is a new particle transport mod ....Understanding pollutant transport in estuaries and coastal rivers. By advancing pollutant transport modelling that use recent developments in drift sensors, this project aims to investigate water quality of estuaries and coastal rivers under pressure from urban growth. The project expects to generate a new capability for quantitative particle concentration predictions through detection and innovative analysis of Lagrangian Coherent Structures. The expected outcome is a new particle transport modelling framework and algorithms for shallow water systems, which effectively exploit extensive datasets becoming available from GPS-enabled drifters. This should provide significant benefits such as reliable assessment of possible effects of catchment and waterway changes on pollutant and sediment concentration which can impact waterway health.Read moreRead less
Fluid Transport in Materials of Nanoscale Dimensions. This project aims to transform the modelling of fluid transport in materials of nanoscale dimension by determining the coupled interfacial heat and mass-transfer barriers, which critically influence the transport. The outcome will not only be new knowledge on the effects of inherent structural distortion and of the barriers on the fluid flow, but also cutting-edge techniques to estimate system size-dependent transport coefficients in nanoscal ....Fluid Transport in Materials of Nanoscale Dimensions. This project aims to transform the modelling of fluid transport in materials of nanoscale dimension by determining the coupled interfacial heat and mass-transfer barriers, which critically influence the transport. The outcome will not only be new knowledge on the effects of inherent structural distortion and of the barriers on the fluid flow, but also cutting-edge techniques to estimate system size-dependent transport coefficients in nanoscale systems. These will be achieved through a combination of targeted molecular dynamics simulations and experiment, and will have far-reaching implications for nanotechnology and emerging processes in catalysis, gas separation, human health and nanofluidics, and enable design of more efficient systems.Read moreRead less
Unravelling the enigma of turbulence by integrating simulation & modelling. This project will transform how turbulence and flow-induced noise is understood and predicted to help meet the challenge of ever-growing transport and energy demands in an affordable and sustainable way. This will be achieved by integrating the latest simulation advances with unique machine-learning approaches. The expected outcome will be a paradigm shift in how turbulence and noise models are created and used, informed ....Unravelling the enigma of turbulence by integrating simulation & modelling. This project will transform how turbulence and flow-induced noise is understood and predicted to help meet the challenge of ever-growing transport and energy demands in an affordable and sustainable way. This will be achieved by integrating the latest simulation advances with unique machine-learning approaches. The expected outcome will be a paradigm shift in how turbulence and noise models are created and used, informed by new scientific knowledge and data. The proliferation of these new models will allow the design and operation of more efficient, reliable and quieter technologies in the aerospace, naval and energy industries, benefitting the Australian economy and environment, and raise the international profile of our scientists.Read moreRead less