Jan Rottmayer

(RPTU Kaiserslautern-Landau, AG Scientific Computing)
hosted by Seminar Series on Scientific Computing

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

( MPI-SWS talk in Kooperation mit dem Fachbereich Informatik)

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 Darcy coefficient 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]https://www.scicomp.uni-kl.de/events/ https:/aip.scitation.org/doi/10.1063/5.0120124 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]https://www.scicomp.uni-kl.de/events/" https:/arc.aiaa.org/doi/10.2514/6.2014-3039 T. Geyer, E. Sarradj. Trailing edge noise of partially porous airfoils; https://doi.org/10.2514/6.2014-3039; 2014

Time:	Thursday, 05.01.2023, 11:45
Place:	Hybrid (Room 32-349 and via Zoom)
Video:	https://uni-kl-de.zoom.us/j/63123116305?pwd=Yko3WU9ZblpGR3lGUkVTV1kzMCtUUT09

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