Volume 40 Issue 3
Mar.  2025
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YU Rongke, FENG Heying, ZHAO Kun, et al. Trailing edge scattering noise prediction based on wave number-frequency spectrum of pressure fluctuation[J]. Journal of Aerospace Power, 2025, 40(3):20230450 doi: 10.13224/j.cnki.jasp.20230450
Citation: YU Rongke, FENG Heying, ZHAO Kun, et al. Trailing edge scattering noise prediction based on wave number-frequency spectrum of pressure fluctuation[J]. Journal of Aerospace Power, 2025, 40(3):20230450 doi: 10.13224/j.cnki.jasp.20230450

Trailing edge scattering noise prediction based on wave number-frequency spectrum of pressure fluctuation

doi: 10.13224/j.cnki.jasp.20230450
  • Received Date: 2023-07-12
    Available Online: 2024-06-07
  • TNO (Netherlands Organization for Applied Scientific Research) model, which is built based on the modeling of the wave number-frequency spectrum of turbulent boundary layer fluctuation pressure, is a rapid prediction method for trailing edge scattering noise. However, the wave number-frequency spectrum used in the TNO model omitted the TT (turbulence-turbulence) 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 wave number frequency spectrum, using RANS (Reynolds-averaged Navier-Stokes) method to calculate the flow field input was more accurate; the introduction of TT term had a significant impact on the prediction of wave number frequency spectrum amplitude in high wave number 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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