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

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

Engineering Fluid Dynamics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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 language	English
Title of host publication	Forum Acousticum 2020
Publication status	Published - 2020
Event	Forum Acousticum, E-FA 2020 - Online Event Duration: 7 Dec 2020 → 11 Dec 2020

Conference

Conference	Forum Acousticum, E-FA 2020
Abbreviated title	E-FA 2020
City	Online Event
Period	7/12/20 → 11/12/20

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@inproceedings{a973b0456af5454faaae09f389a26498,

title = "Analysis of a semi-empirical leading-edge slat noise prediction model",

abstract = "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{\textquoteright}s semianalytical model. Fourteen slat configurations were simulatedusing the Lattice Boltzmann Method (LBM) implemented in PowerFLOWR commercial software. These results show an elementary relation between the four semiempirical constants proposed in Guo{\textquoteright}s slat model and importantflow 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 fromRANS 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 AeroacousticWind Tunnel at Rec = 1 x 106 and M = 0.15 showed good overall agreement between noise measurements and the proposed slat noise prediction model.",

author = "{Botero Bolivar}, Laura and Sanders, {Martinus Petrus Johannes} and {De Santana}, {Leandro Dantas} and Venner, {Cornelis H.} and Catalano, {Fernando Martini}",

year = "2020",

language = "English",

booktitle = "Forum Acousticum 2020",

note = "Forum Acousticum, E-FA 2020, E-FA 2020 ; Conference date: 07-12-2020 Through 11-12-2020",

}

TY - GEN

T1 - Analysis of a semi-empirical leading-edge slat noise prediction model

AU - Botero Bolivar, Laura

AU - Sanders, Martinus Petrus Johannes

AU - De Santana, Leandro Dantas

AU - Venner, Cornelis H.

AU - Catalano, Fernando Martini

PY - 2020

Y1 - 2020

N2 - 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 simulatedusing the Lattice Boltzmann Method (LBM) implemented in PowerFLOWR commercial software. These results show an elementary relation between the four semiempirical constants proposed in Guo’s slat model and importantflow 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 fromRANS 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 AeroacousticWind Tunnel at Rec = 1 x 106 and M = 0.15 showed good overall agreement between noise measurements and the proposed slat noise prediction model.

AB - 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 simulatedusing the Lattice Boltzmann Method (LBM) implemented in PowerFLOWR commercial software. These results show an elementary relation between the four semiempirical constants proposed in Guo’s slat model and importantflow 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 fromRANS 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 AeroacousticWind Tunnel at Rec = 1 x 106 and M = 0.15 showed good overall agreement between noise measurements and the proposed slat noise prediction model.

M3 - Conference contribution

BT - Forum Acousticum 2020

T2 - Forum Acousticum, E-FA 2020

Y2 - 7 December 2020 through 11 December 2020

ER -

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

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Conference

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