An algorithm to separate wind tunnel background noise from turbulent boundary layer excitation

Zhao, Xin; Yang, Mingsui; Zhou, Jie; Lei, Juanmian

doi:10.1016/j.cja.2019.03.035

Cited by 6 publications

(1 citation statement)

References 34 publications

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“…Compared with tonal noise, fan broadband noise is generated by many sources, such as the interaction of upstream turbulence with the rotor blades, and the interaction of viscous wakes caused by the rotor blades and downstream stator vanes, etc. [6,7]. This paper focuses on the interaction of viscous wakes caused by rotor blades and stator vanes.…”

Section: Introductionmentioning

confidence: 99%

Broadband Noise Reduction of a Two-Stage Fan with Wavy Trailing-Edge Blades

Gao,

Chen,

Tong

et al. 2024

Aerospace

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In this paper, a numerical investigation is performed to study the broadband noise of a fan stage with wavy trailing-edge blades. A study of the wavelength and ratio of amplitude to wavelength (H/L) is conducted to better understand the noise reduction effect of wavy trailing-edge blades. A rotor–stator interaction broadband noise prediction method based on the result of a Reynolds-averaged Navier–Stokes equation is used. The results show that all wavy trailing-edge configurations reduce the sound power level of the fan stage. The noise reduction effect of H20L10 is the best among all the wavy trailing-edge configurations, and the sound power level is reduced by 2.4 dB at 1000 Hz. When the H/L remains unchanged, the noise reduction effect of the wavy trailing-edge configuration increases with the increase in wavelength. When the wavelength remains unchanged, the noise reduction effect of the wavy trailing-edge configuration with an H/L of 2 is the best. The use of wavy trailing-edge configurations reduces the turbulent kinetic energy and turbulent integral length scale upstream of the stator by changing the wake of the rotor, thereby reducing the rotor–stator interaction broadband noise of the fan stage.

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Section: Introductionmentioning

confidence: 99%