Master‘s thesis: Development of a CFD simulation framework to easily replicate experiments performed in LSTM’s aeroacoustic wind-tunnel
Background:
Over the past 20 years, LSTM’s aeroacoustic wind-tunnel was used to analyze the fluid dynamics and acoustics of various generic configurations, such as:
- Noise generated by the flow over a forward-facing step [1,2]
- Noise generated by obstacles subject to wall-bounded flows [2]
- Transmission of noise through a panel [3]
In this thesis, we’d like to review these experiments and develop a CFD simulation model that allows us to replicate the wind tunnel’s test conditions and efficiently perform scale-resolving aeroacoustics simulations
of the above test scenarios.
[1] Hahn, C.: „Experimentelle Analyse und Reduktion aeroakustischer Schallquellen an einfachen Modellstrukturen“, Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg, 2008
[2] Becker, S.: „Lokale Messverfahren und deren Anwendung zur Bestimmung der Strömungs- und Turbulenzeigenschaften wandgebundener Strömung“, Habilitation, Mensch & Buch, 2009
[3] Müller, S.: „Fluid-Struktur-Akustik-Kopplung bei der Überströmung dünner Platten“, Dissertation, Friedrich-Alexander-Universität Erlangen-Nürnberg, 2015
[4] Erbig, L. et al.: “Rod-Airfoil Wind Tunnel Testing, a Classic Revisited: Validation of Aeroacoustics Numerical Modelling in the Near and Far Field”, AIAA 2024-3289, 2024.
Tasks:
You will learn how to perform scale-resolving aeroacoustics simulations and how to correctly correlate simulation and experimental results, which gives you insights into
- Turbulence modeling for scale-resolving simulations
- Hybrid aeroacoustic simulation methods
- Experimental techniques to acquire transient pressure and velocity signals
The project will be conducted in collaboration with Siemens Digital Industries Software and the candidate will interact with research and application engineers from Siemens and LSTM.
Requirements:
- Basic knowledge in aeroacoustics and CFD modeling
- Ability to conduct a numerical simulation campaign (parametric studies, report writing)
- Advanced oral and writing skills in English
Starting date: anytime
Advisor:
