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Showing 1 to 4 of 4 for “"Airfoil self-noise"”.

  1. Airfoil Self-Noise Prediction Using Neural Networks for Wind Turbines

    … prediction method has been developed to compute self-noise of airfoils typically used in wind turbines. The neural networks were trained using experimental data corresponding to tests of several different airfoils over a range of flow conditions. The experimental data corresponds to the NACA …

    vt Repository record for Airfoil Self-Noise Prediction Using Neural Networks for Wind Turbines (opens in a new tab)

  2. Numerical studies of the flow around an airfoil at low Reynolds number

    A study of the flow around airfoils at low-Reynolds numbers has been performed, by a combination of direct numerical simulation (DNS) and linear stability analysis. The behaviour of laminar separation bubbles formed on a NACA-0012 airfoil at Rec = 5 £ 104 and incidence 5± is investigated. Initially …

    soton Repository record for Numerical studies of the flow around an airfoil at low Reynolds number (opens in a new tab)

  3. Hybrid wing-body aircraft noise and performance assessment

    Hybrid wing-body aircraft noise generation and boundary layer ingestion (BLI) performance trends with increased fan face Mach number inlet designs are investigated. The presented topics are in support of the NASA subsonic fixed wing project, which seeks to lower noise and increase performance by …

    mit Repository record for Hybrid wing-body aircraft noise and performance assessment (opens in a new tab)

  4. Bio-Inspired Axial Fan Design, 3D Printing Fabrication and Characterization for Noise and Flow Performance Optimization

    Noise pollution from mechanical ventilation systems is an increasingly critical issue in the context of global energy transition, post-pandemic air quality requirements, and stringent environmental acoustic regulations. In this context, axial-flow fans represent a key technological component, …

    trento Repository record for Bio-Inspired Axial Fan Design, 3D Printing Fabrication and Characterization for Noise and Flow Performance Optimization (opens in a new tab)