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Characterization of pressure fluctuations within a controlled-diffusion blade boundary layer using the equilibrium
Radouan Boukharfane1, Matteo Parsani2, Julien Bodart3
1Computer Electrical and Mathematical Science and Engineering Division (CEMSE), Extreme Computing Research Center (ECRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. radouan.boukharfane@kaust.edu.sa.
Scientific Reports
|July 31, 2020
Summary
This study investigates airfoil trailing edge noise using wall-modeled large-eddy simulations (WMLES). The WMLES approach accurately predicts aerodynamic and aeroacoustic data, validating its use for broadband noise prediction.
Area of Science:
- Fluid Dynamics
- Aeroacoustics
- Computational Fluid Dynamics
Background:
- Airfoil trailing edge noise is a significant concern in aerospace applications.
- Understanding the interaction between turbulent boundary layers and airfoils is crucial for noise reduction.
Purpose of the Study:
- To apply wall-modeled large-eddy simulation (WMLES) for predicting airflow over a controlled-diffusion blade.
- To investigate broadband noise generated by turbulent boundary layer interaction with the airfoil trailing edge.
Main Methods:
- Wall-modeled large-eddy simulation (WMLES) was employed.
- Simulations were conducted for various Mach numbers, Reynolds numbers, and angles of attack.
- Results were validated against experimental data and wall-resolved LES (WRLES).
Main Results:
- WMLES accurately predicted mean pressure coefficient, velocity statistics, and Reynolds tensor components.
- Instantaneous flow structures from WMLES closely matched reference data, with minor discrepancies near the leading edge.
- Aeroacoustic noise calculations showed good agreement between WMLES power spectral density profiles and experimental data.
Conclusions:
- WMLES is a reliable method for predicting aerodynamic and aeroacoustic characteristics of airfoils.
- Grid resolution significantly influences flow structures near the leading edge.
- The study confirms WMLES's capability in modeling airfoil trailing edge broadband noise.
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