Evaluation of Measured Anisotropic Turbulent Two-Point Correlation Data for the Accurate Prediction of the Turbulence Noise Sources

Kamruzzaman, Mohammad; Lutz, Thorsten; Иванов, А. В.; Herrig, Andreas; Wuerz, Werner; Kraemer, Ewald

doi:10.2514/6.2009-3313

Cited by 11 publications

(13 citation statements)

References 8 publications

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“…Overall, a wall-normal variation in Λ y|vv of around 3 mm is experienced for all cases, showing similar values between the streamwise measurement locations and an overall increase in integral length scale at locations further from the wall, indicating an increase in turbulent structure size as expected. A similar trend has been observed in Kamruzzaman et al (2009). There is a difference of values between the cases along the same wall-normal location of no more than 0.5 mm, with the downstream location initially showing lower values, and exhibiting a crossover at y/δ = 0.6.…”

Section: Vertical Integral Length Scalesupporting

confidence: 84%

Boundary layer characterization and acoustic measurements of flow-aligned trailing edge serrations

et al. 2016

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Section: Vertical Integral Length Scalesupporting

confidence: 84%

Boundary layer characterization and acoustic measurements of flow-aligned trailing edge serrations

et al. 2016

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“…This issue is discussed in Ref. 23. Looking at the Rnoise predictions it is obvious, that the general shape is also close to the measurements and the levels for isotropic case (e.g., isoke) are underpredicted whereas the case with anisotropy modelling matches excellently.…”

Section: Far-field Trailing-edge Noise Spectramentioning

confidence: 87%

“…(23), with factor 4 in place of 8 in Eqn. (23). The present P͑k l , k 3 , ͒ model is symmetric about k 3 and only, thus a factor of 4 should be used in place of 8.…”

Section: Wall Pressure Fluctuations Point Frequency Spectrummentioning

confidence: 99%

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Comprehensive evaluation and assessment of trailing edge noise prediction based on dedicated measurements

Kamruzzaman¹,

Herrig²,

Krämer³

et al. 2011

Noise Control Eng. J.

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An extensive assessment and step by step validation of turbulent boundary-layer trailing-edge interaction (TBL-TE) noise prediction was conducted based on the boundary layer properties calculated by three different aerodynamics methods, XFOIL, Wilcox EDDYBL and the RANS solver FLOWer. For this purpose detailed measurements of turbulent boundary-layer properties like two-point turbulent velocity correlations, the spectrum of the associated wall pressure fluctuations (WPFs) and the emitted trailing-edge noise have been performed in the Laminar Wind Tunnel (LWT). The measurements were performed for the NACA 0012 airfoil. Most of the investigated cases show that the numerical WPF and far-field radiated noise models capture the measured peak amplitude level as well as the peak position remarkably well, if the turbulence noise source parameters are estimated properly including turbulence anisotropy effects. © 2011 Institute of Noise Control Engineering.

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“…A short overview about all these measurements are given. For detail information about the experimental set‐up and procedure, see Herrig, Herrig et al and Kamruzzaman et al Experimental studies of the general aerodynamic properties such as polars, c p distributions and integral BL parameters have also been conducted. Detailed discussions and validations of this measurement data can be seen in Würz et al and Kamruzzaman et al and are out of the scope of the present study.…”

Section: Experimental Set‐upmentioning

confidence: 99%

Validations and improvements of airfoil trailing‐edge noise prediction models using detailed experimental data

et al. 2011

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This paper describes an extensive assessment and a step by step validation of different turbulent boundary‐layer trailing‐edge noise prediction schemes developed within the European Union funded wind energy project UpWind. To validate prediction models, measurements of turbulent boundary‐layer properties such as two‐point turbulent velocity correlations, the spectra of the associated wall pressure fluctuations and the emitted trailing‐edge far‐field noise were performed in the laminar wind tunnel of the Institute of Aerodynamics and Gas Dynamics, University of Stuttgart. The measurements were carried out for a NACA 643‐418 airfoil, at Re = 2.5 ×106, angle of attack of −6° to 6°. Numerical results of different prediction schemes are extensively validated and discussed elaborately. The investigations on the TNO‐Blake noise prediction model show that the numerical wall pressure fluctuation and far‐field radiated noise models capture well the measured peak amplitude level as well as the peak position if the turbulence noise source parameters are estimated properly including turbulence anisotropy effects. Large eddy simulation based computational aeroacoustic computations show good agreements with measurements in the frequency region higher than 1 kHz, whereas they over‐predict the sound pressure level in the low‐frequency region. Copyright © 2011 John Wiley & Sons, Ltd.

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Evaluation of Measured Anisotropic Turbulent Two-Point Correlation Data for the Accurate Prediction of the Turbulence Noise Sources

Cited by 11 publications

References 8 publications

Boundary layer characterization and acoustic measurements of flow-aligned trailing edge serrations

Boundary layer characterization and acoustic measurements of flow-aligned trailing edge serrations

Comprehensive evaluation and assessment of trailing edge noise prediction based on dedicated measurements

Validations and improvements of airfoil trailing‐edge noise prediction models using detailed experimental data

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