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2020 | OriginalPaper | Chapter

Prediction of Trailing-Edge Noise for Separated Turbulent Boundary Layers

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Abstract

This paper presents a semi-empirical low-order prediction of the trailing-edge noise of separated turbulent boundary layers. The prediction focuses on obtaining the low-frequency spectral peak of the far-field sound pressure level by modeling the measured wavenumber-frequency spectrum using regression analysis and integrating that spectrum in the manner of Howe’s radiation model. Surface pressure fluctuations upstream of the trailing-edge of a DU96-W-180 blade section were measured using miniature pressure transducers, and the trailing-edge noise was measured using a directional microphone. The prediction showed that the far-field sound pressure level reached its maximum below the frequency limit of the directional microphone measurement, between 400 Hz–500 Hz depending on the freestream velocity and the predicted spectrum varied between \(\pm 0.5\) dB given the inaccuracies of the regression model.

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Literature
1.
go back to reference Brooks, T.F., Pope, S., Marcolini, M.A.: Airfoil self-noise and prediction. Technical report, NASA-RP-1218 (1989) Brooks, T.F., Pope, S., Marcolini, M.A.: Airfoil self-noise and prediction. Technical report, NASA-RP-1218 (1989)
2.
go back to reference Schüle, C.Y., Rossignol, K.S.: A separated flow model for semi-empirical prediction of trailing edge noise. In: Dillman, A., et al. (eds.) New Results in Numerical and Experimental Fluid Mechanics IX, vol. 124, pp. 639–647. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-319-03158-3 Schüle, C.Y., Rossignol, K.S.: A separated flow model for semi-empirical prediction of trailing edge noise. In: Dillman, A., et al. (eds.) New Results in Numerical and Experimental Fluid Mechanics IX, vol. 124, pp. 639–647. Springer, Heidelberg (2014). https://​doi.​org/​10.​1007/​978-3-319-03158-3
Metadata
Title
Prediction of Trailing-Edge Noise for Separated Turbulent Boundary Layers
Author
Alexandre Suryadi
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-25253-3_73

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