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Evaluation of wall pressure spectrum models for fan noise prediction

Sanjose, Marlene, Galand, Natacha, Garnier, Teddy et Moreau, Stéphane. 2023. « Evaluation of wall pressure spectrum models for fan noise prediction ». Communication lors de la conférence : Acoustics Week in Canada (Montreal, QC, Canada, Oct. 03-06, 2023).

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Résumé

As new concepts for rotating machines in applications ranging from unmanned aerial vehicles to small wind turbines for urban areas emerge as possible future innovations, it is important to consider noise levels when evaluating the acceptability of such concepts. At the design stage, it is important to be able to rely on rapid predictions of noise for rotating machines. The current work focuses on low cost broadband noise prediction for low speed rotating machines. The main focus is on the rotor self-noise caused by the scattering of turbulent eddies at the trailing edge of the rotor blades. The objective is to improve noise predictions based on the Amiet approach, which is informed by Reynolds Averaged Navier-Stokes results. With this approach, advanced Wall Pressure Spectrum (WPS) models are essential when the rotor is operated under high load conditions. In the present work, several empirically based wall pressure spectrum models are evaluated. The performance of the models is highly dependent on whether they are tested in their training domain of boundary layer parameters. The models have been calibrated on flat plate or airfoil flows. In the present work, the models are evaluated on three low speed axial fans. Fan applications present several challenges related to three-dimensional boundary layers and secondary flows. The first fan is a fan used in automotive engine cooling systems, the second is typical of ventilation systems that are essential in any passenger compartment, and the third is characteristic of drone propellers for recreational and localized use. First, the boundary layer near the trailing edge of the fan blades is characterized and compared with the training range of the models. Then, the far-field sound power levels obtained with Amiet's approach and the WPS models are compared with experimental measurements from published databases.

Type de document: Communication (Communication)
Informations complémentaires: Résumé disponible : https://awc.caa-aca.ca/index.php/AWC/AWC23/paper/view/1144
Chercheur(-euse):
Chercheur(-euse)
Sanjosé, Marlène
Affiliation: Génie mécanique
Date de dépôt: 20 août 2024 19:55
Dernière modification: 03 sept. 2026 16:24
URI: https://espace2.etsmtl.ca/id/eprint/29327

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