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An analysis of slat noise using prediction models

Abstract : Leading-edge slat noise generated by high-lift devices is one of the major sources of airframe noise. Various numerical, analytical and experimental methodologies have been developed to evaluate and predict leading-edge slat noise. Most recently, GUO proposed a leading-edge slat noise prediction method based on the theory of aerodynamic sound generation and source flow physics. The model relates the far-field noise spectrum to the surface pressure fluctuations and uses the characteristic length, time scales in the surface, pressure statistics, Green’s function and Ffocws William Hawking (FW-H) acoustic analogy for accounting propagation effects. Guo’s leading-edge slat noise prediction requires the determination of a set of numerical constants that should be different for each slat. Furthermore, additional parameters related to the level of radiated noise are needed. These parameters can be directly related to secondary flow parameters such as the shear-layer length and the delta of velocities through it, based on previous studies. This research aims to analyze with the Guo’s model the noise produced by 13 different slat configurations and found the numerical constants through the curve adjustment methodology using numerical results obtained by PowerFLOW software. Finally, numerical constants were related to simple slat flow characteristics (shear-layer length and delta of velocities through the shear layer) using statistical analysis. Equations to obtain specific numerical constants for each slat in the function of those parameters were established. The developed prediction model is validated with an experimental dataset comprising of aeroacoustic measurements of the 30P30N high-lift configuration in the aeroacoustic wind tunnel facility of the University of Twente.
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Submitted on : Tuesday, May 18, 2021 - 2:16:43 PM
Last modification on : Friday, July 2, 2021 - 12:17:03 PM
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Laura Botero-Bolivar, Marijn Sanders, Leandro De Santana, Fernando Catalano. An analysis of slat noise using prediction models. Forum Acusticum, Dec 2020, Lyon, France. pp.1507-1514, ⟨10.48465/fa.2020.0686⟩. ⟨hal-03215257⟩



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