Analysis of a semi-empirical leading-edge slat noise prediction model

Laura Botero Bolivar, Martinus Petrus Johannes Sanders, Leandro Dantas De Santana, Cornelis H. Venner, Fernando Martini Catalano

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In this paper semi-empirical formulas are presented that relate macroscopic flow parameters observed in the slat cove and semi-empirical constants proposed in Guo’s semianalytical model. Fourteen slat configurations were simulated
using the Lattice Boltzmann Method (LBM) implemented in PowerFLOW
R commercial software. These results show an elementary relation between the four semiempirical constants proposed in Guo’s slat model and important
flow parameters, e.g., the shear-layer path length and the maximum shear velocity. Consequently, those four semi-empirical constants were rewritten in terms of two empirical constants which values can be derived from
RANS simulations. The proposed noise prediction model is consequently validated against wind tunnel aeroacoustics tests performed with the 30P30N high-lift device model. Experiments performed in the UTwente Aeroacoustic
Wind Tunnel at Rec = 1 x 106 and M = 0.15 showed good overall agreement between noise measurements and the proposed slat noise prediction model.
Original languageEnglish
Title of host publicationForum Acousticum 2020
Publication statusPublished - 2020
EventForum Acousticum, E-FA 2020 - Online Event
Duration: 7 Dec 202011 Dec 2020


ConferenceForum Acousticum, E-FA 2020
Abbreviated titleE-FA 2020
CityOnline Event

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