Trailing edge scattering noise prediction based on wavenumber-frequency spectrum of pressure fluctuation
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摘要:
基于湍流边界层脉动压力波数-频率谱建模的TNO模型是一种翼型尾缘散射噪声快速预测模型。但TNO(荷兰国家应用科学研究院)模型所采用的波数-频率谱忽略了脉动压力源项中的湍流-湍流项(TT项),导致中高频段噪声预测存在较大偏差。为此,优化模型的流场输入,并引入Chase I模型的TT项,以提高模型的准确性。基于风洞实验获得的NACA0018翼型远场噪声数据,验证了改进后模型的有效性,结果显示:相较于原始模型采用XFOIL方法计算流场作为波数-频率谱的输入,采用RANS方法来计算流场输入更为准确;关于高波数区波数-频率谱幅值的预测,是否引入TT项对预测结果的影响较大;改进后的尾缘散射噪声快速预测方法对高频段噪声的预测精度有明显提升;改进前的TNO模型存在噪声预测偏差随着攻角的增大而增大的问题,改进后的模型对此问题有明显缓解。
Abstract:TNO model, which is built based on the modeling of the wavenumber-frequency spectrum of turbulent boundary layer fluctuation pressure, is a rapid prediction method for trailing edge scattering noise. However, the wavenumber-frequency spectrum used in the TNO (Netherlands Organization for Applied Scientific Research) model omitted the turbulence-turbulence (TT) term from the fluctuating pressure source terms, leading to significant deviations in noise prediction at mid-to-high frequencies. To address this, the flow field input of the model was optimized, and the TT term of the Chase I model was introduced to improve the accuracy of the model. Based on the far-field noise data of NACA0018 airfoil obtained from wind tunnel experiments, the effectiveness of the improved model was verified. The results showed that compared with the original model using XFOIL method to calculate the flow field as the input of wavenumber frequency spectrum, using RANS method to calculate the flow field input was more accurate; the introduction of TT term had a significant impact on the prediction of wavenumber frequency spectrum amplitude in high wavenumber regions; the improved fast prediction method for trailing edge scattering noise significantly improved the prediction accuracy of high-frequency noise; the original TNO model had an issue that noise prediction deviations increased with the angle of attack, but this was substantially mitigated in the improved model.
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