Turbulent wall-bounded flow in adverse pressure gradient environments. This research will create additional research capacity in turbulence control and drag reduction. It will have direct benefits to the Australian economy via the transport industry by reducing the adverse impact of the carbon tax and rising fuel prices on long-haul air, water and road transport, on which Australia is disproportionately reliant.
Discovery Early Career Researcher Award - Grant ID: DE160100968
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Lifting the Veil on Turbulent Convective Heat Transfer over Rough Surfaces. By understanding the influence of surface roughness on convective heat transfer, this project intends to reduce the unwanted heating and energy losses associated with surface roughness in gas and steam turbines used in power generation and transportation. The surface roughness that results from extended operation of gas and steam turbines can significantly increase the heating of their surfaces, increasing fuel consumpti ....Lifting the Veil on Turbulent Convective Heat Transfer over Rough Surfaces. By understanding the influence of surface roughness on convective heat transfer, this project intends to reduce the unwanted heating and energy losses associated with surface roughness in gas and steam turbines used in power generation and transportation. The surface roughness that results from extended operation of gas and steam turbines can significantly increase the heating of their surfaces, increasing fuel consumption and greenhouse gas emissions, and reducing operational life. Improvements would allow turbines to operate at higher inlet temperatures which will increase their efficiency and reduce fuel use, environmental emissions and maintenance costs.Read moreRead less
Bio-oil from woody biomass - a sustainable fuel for Australia. At present many alternative energy supply systems suffer from factors like high costs, inefficiency and in some cases inappropriate application of immature technology and so are unsustainable. To overcome these problems, this research proposes the development of an integrated biomass solution to energy supply as well as dry land salinity. By doing so a sustainable and cost effective industry can be developed. Furthermore, if such an ....Bio-oil from woody biomass - a sustainable fuel for Australia. At present many alternative energy supply systems suffer from factors like high costs, inefficiency and in some cases inappropriate application of immature technology and so are unsustainable. To overcome these problems, this research proposes the development of an integrated biomass solution to energy supply as well as dry land salinity. By doing so a sustainable and cost effective industry can be developed. Furthermore, if such an industry is based on advances in Australian research and development, exporting this to other countries with similar problems, will further enhance its economic and social benefit to Australia.Read moreRead less
Geometry of wall-turbulence and its potential to advance scalable models. This project aims to unravel the connections between the statistical geometry of wall-turbulence and the dynamical interactions of its instantaneous motions. Predicting the complex behaviour of turbulent fluid flow over surfaces in relative motion is central to atmospheric modelling for climate and agriculture, and reducing the environmental effect of fossil fuel usage. Wall-turbulence statistics organise according to a pr ....Geometry of wall-turbulence and its potential to advance scalable models. This project aims to unravel the connections between the statistical geometry of wall-turbulence and the dynamical interactions of its instantaneous motions. Predicting the complex behaviour of turbulent fluid flow over surfaces in relative motion is central to atmospheric modelling for climate and agriculture, and reducing the environmental effect of fossil fuel usage. Wall-turbulence statistics organise according to a predictable geometric structure, and the notorious complexity of turbulent wall-flow dynamics could be clarified through its inherent geometry. This project expects to construct a basis for predicting engineering and atmospheric wall-flows, which would enhance atmospheric flow prediction, reduce energy consumption and further environmental sustainability.Read moreRead less
Self-similar scale interactions in turbulent boundary layers. Predicting and controlling turbulent fluid flow next to a solid surface (the turbulent boundary layer) is of critical importance to ensuring a sustainable energy and environmental future. While recent research has yielded a clearer physical understanding of these flows, converting this understanding into tools useful to engineering practice remains a central obstacle. The proposed research directly addresses this fundamental challenge ....Self-similar scale interactions in turbulent boundary layers. Predicting and controlling turbulent fluid flow next to a solid surface (the turbulent boundary layer) is of critical importance to ensuring a sustainable energy and environmental future. While recent research has yielded a clearer physical understanding of these flows, converting this understanding into tools useful to engineering practice remains a central obstacle. The proposed research directly addresses this fundamental challenge by precisely connecting the eddy interactions of the turbulence to the mathematical equations that rigorously describe these flows. As such it holds breakthrough potential toward the development of turbulent boundary layer prediction and control schemes that do not rely on ad hoc models or assumptions.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.
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Taming turbulence with long-chain polymers. Aerodynamics, hydrodynamics and the efficiency of pumping oil, gas and water through long pipelines can be dramatically improved by reducing the high friction loss caused by turbulent flow. This project will develop the world's largest laboratory turbulent pipe flow facility to test efficiency gains and limitations of polymer addition.
Discovery Early Career Researcher Award - Grant ID: DE200101650
Funder
Australian Research Council
Funding Amount
$412,700.00
Summary
Intelligent active control of flow-induced vibration. This project aims to develop advanced and effective control methods using an innovative interdisciplinary approach for flow-induced vibration for a wide range of generic elements of engineering structures. This project expects to generate new scientific knowledge of fluid-structure interaction that is essential for the prediction and control of flow-induced vibration. The expected outcomes of this project are artificial intelligence based act ....Intelligent active control of flow-induced vibration. This project aims to develop advanced and effective control methods using an innovative interdisciplinary approach for flow-induced vibration for a wide range of generic elements of engineering structures. This project expects to generate new scientific knowledge of fluid-structure interaction that is essential for the prediction and control of flow-induced vibration. The expected outcomes of this project are artificial intelligence based active control methods for flow-induced vibration. Ultimately, this project should provide significant benefits, such as advances in scientific knowledge and improved technologies for the areas of energy, transport, buildings and infrastructure.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100203
Funder
Australian Research Council
Funding Amount
$956,700.00
Summary
Novel diagnostics capabilities in reacting, particle-laden flows. This project aims to establish innovative capabilities for advanced diagnostics techniques to be applied in reacting, particle-laden flows over a range of pressures. The complementary measurements are expected to provide an unprecedented understanding of the dynamics of liquid fragments and solid particles in flames. The resulting data, and improved knowledge, will set the framework for more effective predictive methods that assis ....Novel diagnostics capabilities in reacting, particle-laden flows. This project aims to establish innovative capabilities for advanced diagnostics techniques to be applied in reacting, particle-laden flows over a range of pressures. The complementary measurements are expected to provide an unprecedented understanding of the dynamics of liquid fragments and solid particles in flames. The resulting data, and improved knowledge, will set the framework for more effective predictive methods that assist in the design of cleaner and efficient processes that benefit a range of applications, from engine design to the generation of new fuels, and the flame synthesis of novel materials.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100416
Funder
Australian Research Council
Funding Amount
$365,446.00
Summary
A predictive tool for low-emission gas turbine combustors. This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable en ....A predictive tool for low-emission gas turbine combustors. This project aims to develop a powerful tool for prediction of combustion noise using high-fidelity simulations. Combustion-generated sound is a major inhibitor to the development of low-emission, highly-efficient gas turbines as it can initiate "thermoacoustic instability", leading to engine failure in extreme cases. This project will lead to the advancement of fast start-up, low-emission, gas turbines which can complement renewable energy technologies to provide reliable electricity to Australians.Read moreRead less