Events

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Event Information:

  • Thu
    05
    Jan
    2023

    SC Seminar: Jan Rottmayer

    11:45Hybrid (Room 32-349 and via Zoom)

    Title: Trailing Edge Noise Reduction by Porous Treatment using Derivative-Free Optimization

    Jan Rottmayer, Chair for Scientific Computing (SciComp), TU Kaiserslautern

    Abstract:

    This talk focuses on the derivative-free optimization algorithm known as Efficient Global Optimization and its application to the noise reduction caused by the blunt trailing edge of an airfoil. We compute noise levels over a range of frequencies and optimize by adjusting porosity and permeability as design parameters.

    In general, lifting bodies are used across a wide range of applications, including transportation and energy generation. They can produce unwanted noise in a variety of ways. On the topic of airfoils, the leading causes of noise are leading- and trailing edge noise. The latter occurs when the boundary layer convects turbulent sources over the trailing-edge. [1] demonstrated noise reduction via porous treatment at the trailing edge. „Porous edges and surfaces can act to reduce the correlation of a transitional or turbulent boundary layer, as well as reducing the convection velocity inside the boundary layer, which is an important determining factor for the magnitude of the scattered acoustic waves.“ [2]
    We explore this idea on the example of an airfoil with blunt trailing edge and partially porous geometry. The trailing-edge porosity is parametrized to reduce the dimension of the design space. Further, the computational costs are reduced by using an Amiet-based trailing edge noise model and a surrogate-based optimization approach.

    [1] T.A. Smith, C.A. Klettner. Airfoil trailing-edge noise and drag reduction at a moderate Reynolds number using wavy geometries; https://doi.org/10.1063/5.0120124; 2022
    [2] T. Geyer, E. Sarradj. Trailing edge noise of partially porous airfoils; https://doi.org/10.2514/6.2014-3039; 2014

    How to join online

    You can join online via Zoom, using the following link:
    https://uni-kl-de.zoom.us/j/63123116305?pwd=Yko3WU9ZblpGR3lGUkVTV1kzMCtUUT09