Conjugate natural convection boundary layers. Conjugate natural convection systems occur when a conducting vertical wall separates fluids at different temperatures (that is at a window separating the interior of a room from the outside or when a container of fluid is placed in a refrigerator). This project will provide accurate predictions of such flows together with scaling relations.
Achieving fuel flexibility in modern combustors. This project will develop and apply the leading combustion models to premixed and diffusion flames for a range of fuels with varying properties to provide the fundamental insights and research and development tools that are required for a transition to energy from a diverse range of renewable and synthetic fuels.
Entrainment and Mixing in Turbulent Negatively Buoyant Jets and Fountains. The project intends to develop tools to accurate predict fountain flows. Volcanic eruptions, building ventilation and brine discharge from desalination plants are all examples of turbulent fountains and negatively buoyant jets. The project aims to conduct an investigation into the turbulent structure of fountains and negatively buoyant jets using numerical simulation and laboratory experiments, and to assess the accuracy ....Entrainment and Mixing in Turbulent Negatively Buoyant Jets and Fountains. The project intends to develop tools to accurate predict fountain flows. Volcanic eruptions, building ventilation and brine discharge from desalination plants are all examples of turbulent fountains and negatively buoyant jets. The project aims to conduct an investigation into the turbulent structure of fountains and negatively buoyant jets using numerical simulation and laboratory experiments, and to assess the accuracy of the commonly used integral models and test the effect of the use of more accurate entrainment relations. This may have a range of applications – enabling better prediction of environmental impacts, reduction of the adverse effects of the discharge of pollutants, and reduction in energy consumption in building ventilation and other industrial applications.Read moreRead less
New approach to turbulent combustion modelling based on Multiple Mapping Conditioning. The project ensures that Australia remains at the front line of international development of new tools and approaches designed to model turbulent combustion. Improvements in modelling techniques will have a direct effect on optimisation of the industrial energy production from conventional sources and will assist in resolving the associated ecological issues. The project will also train several researches to b ....New approach to turbulent combustion modelling based on Multiple Mapping Conditioning. The project ensures that Australia remains at the front line of international development of new tools and approaches designed to model turbulent combustion. Improvements in modelling techniques will have a direct effect on optimisation of the industrial energy production from conventional sources and will assist in resolving the associated ecological issues. The project will also train several researches to be qualified to work at the frontiers of modern combustion modelling in gaseous flows.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