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Statistical-Empirical Modelling of Aerofoil Noise Subjected to Leading Edge Serrations and Aerodynamic Identification of Noise Reduction Mechanisms

机译:受前缘锯齿影响的翼型噪声的统计经验模型和降噪机制的气动识别

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With the objective of reducing the broadband noise, emitted from the interaction of highly turbulent flow and aerofoil leading edge, sinusoidal leading edge serrations were analysed as an effective passive treatment. An extensive aeroacoustic study was performed in order to determine the main influences and interdependencies of factors, such as the Reynolds number (Re), turbulence intensity (Tu), serration amplitude (A/C) and wavelength (λ/C) as well as the angle of attack (AoA) on the noise reduction capability. A statistical-empirical model was developed to predict the overall sound pressure level and noise reduction of a NACA65(12)-10 aerofoil with and without leading edge serrations in the analysed range of chord-based Reynolds numbers of 2.5·10~5 ≤ Re ≤ 6· 10~5 and a geometrical angle of attack -10 deg ≤ α ≤ +10 deg. The observed main influencing factors match current research results to a high degree, and were quantified in a systematic order for the first time. Moreover, significant interdependencies of the turbulence intensity and the serration wavelength (Tu·λ/C), as well as the serration wavelength and the angle of attack (λ/C· AoA) were observed, validated and quantified. In order to study the noise reduction mechanisms, Particle Image Velocimetry (PIV) measurements were conducted upstream of the aerofoil leading edge and along the interstices of the leading edge serrations. Velocity, turbulence intensity and vorticity in the plane perpendicular to the main flow direction (y/z plane) were analysed and linked to the acoustic findings. It was observed that a noise reduction is accompanied by a reduction of the turbulence intensity within the serration interstices. The reduction in turbulence intensity is more pronounced with large serration amplitudes. However, the impact of the serration wavelength was found to be no function of the turbulence. It is more likely to be affected acoustically by spanwise de-correlation effects as a response to the incoming gusts.
机译:为了减少宽带噪声(由高湍流和翼型前缘相互作用产生的噪声),正弦锯齿状锯齿被分析为一种有效的被动处理方法。为了确定因素的主要影响和相互依赖性,进行了广泛的航空声学研究,例如雷诺数(Re),湍流强度(Tu),锯齿幅度(A / C)和波长(λ/ C)以及降噪能力的迎角(AoA)。建立了统计经验模型,以预测在分析的基于弦的雷诺数为2.5·10〜5≤Re的范围内,带有或不带有前沿锯齿的NACA65(12)-10翼型的整体声压级和降噪≤6·10〜5,几何攻角为-10度≤α≤+10度。观察到的主要影响因素在很大程度上与当前的研究结果相匹配,并且首次以系统的顺序进行了量化。此外,湍流强度和锯齿波长(Tu·λ/ C)以及锯齿波长和攻角(λ/ C·AoA)之间存在显着的相互依赖性,并得到了验证和量化。为了研究降噪机制,在机翼前缘的上游和沿前缘锯齿的间隙进行了粒子图像测速(PIV)测量。在垂直于主流方向(y / z平面)的平面内,分析了速度,湍流强度和涡度,并将其与声学结果联系起来。观察到降噪伴随着锯齿状空隙中湍流强度的降低。锯齿幅度大时,湍流强度的降低更为明显。然而,发现锯齿波长的影响与湍流无关。作为对传入阵风的响应,它更可能受到跨展方向去相关效应的声学影响。

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