Discovery Early Career Researcher Award - Grant ID: DE150101528
Funder
Australian Research Council
Funding Amount
$345,000.00
Summary
Resolving the mechanics of wall-mounted finite airfoil noise production. Noise from air transportation and wind turbines is a rapidly growing component of environmental noise pollution that must be reduced to improve public health and well-being. A submarine must also have a low acoustic signature to ensure its stealthiness. The common source of noise generation among these technologies is the airfoil, yet we do not understand how they create noise in real, complex environments. This project aim ....Resolving the mechanics of wall-mounted finite airfoil noise production. Noise from air transportation and wind turbines is a rapidly growing component of environmental noise pollution that must be reduced to improve public health and well-being. A submarine must also have a low acoustic signature to ensure its stealthiness. The common source of noise generation among these technologies is the airfoil, yet we do not understand how they create noise in real, complex environments. This project aims to understand how fluid flow interacts with a wall-mounted finite airfoil to produce sound. The project aims to identify the noise producing physics via a novel wind tunnel experiment and numerical study. This enhanced understanding will create better airfoil noise prediction and control strategies in the future.Read moreRead less
Resolving the mechanics of turbulent noise production. This project aims to dramatically develop our capacity to quieten modern transport, energy and defence technologies through a better understanding of how fluid turbulence creates sound. The outcome of the project will be a quieter modern environment leading to improved public health, an improved environment and a more secure nation.
High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. Thi ....High-fidelity simulations for new models that reduce noise pollution. This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. This project, exploiting proven high-fidelity simulation and machine-learning techniques to overcome limitations to produce the scientific knowledge required for practical noise mitigation. Benefits include quieter aerospace, marine and renewable energy technologies, creating more pleasant communities.Read moreRead less
Resolving the mechanics of wind turbine noise production. This project will investigate how wind turbines produce noise. It will do this by developing the most sophisticated wind turbine noise experiment in the world, which will allow the construction of better designed wind farms, better public policy and new noise control technologies.
Understanding and predicting submarine hydrofoil noise. Australia needs to develop a more sophisticated underwater flow-induced noise research and development capability if it is to achieve its ambitious naval plans set out under the Defence White Paper. This project will develop an experimentally validated model to predict submarine noise for the purposes of submarine design, operation and procurement.
Towards an event based model of combustion generated sound. This proposal will develop new tools for predicting combustion generated sound. Since combustion noise often limits system performance, these new tools could be used to significantly reduce emissions of greenhouse gases and other pollutants from power generation and transportation.