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
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.
Ultrasonic production of skim milk. Milk will be skimmed using ultrasonic waves and tiny bubbles that separate the fat droplets from whole milk, saving energy and cleaning costs. It will also be possible to precisely select different nutritional compounds from the rich resource that is whole milk, enabling future health products.