This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Wind Noise Source Identification by Inverse Method in Wind Tunnel Test
Technical Paper
2017-01-1784
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Wind noise in automobile is becoming more and more important as customer requirements increase. On the other hand great progress has been made on engine and road noises. Thus, for many vehicles, wind noise is the major acoustic source during road and motorway driving.
As for other noises, automobile manufacturers must be able for a new car project to specify, calculate and measure each step of the acoustic cascading:
- Source
- Transfers, both solid and air borne
In the case of automotive wind noise, the excitation source is the dynamic pressure on the vehicle’s panels. This part of the cascading is the one influenced by the exterior design. Even if many others components (panels, seals, cabin trims) have a big influence, the exterior design is a major issue for the wind noise. The wind noise level in the cabin can sometimes change significantly with only a small modification of the exterior design.
This paper addresses the problem of measuring the wind noise excitation source, and especially the low wavenumber part of the pressure on a vehicle’s panel. First, it reminds the phenomena existing in a turbulent flow, their consequences on the dynamic pressure on panels and the transfer function due to the panel. Then it presents a new Force Analysis Method which is specific to panels: the Panel Inverse Method (PIM). This new inverse method uses the numerical error done by a finite difference scheme to extract the efficient part of the pressure for wind noise. The advantages, inconveniences, limits and some improvements of the method are presented. Finally, the method is validated by various tests, including wind tunnel measurements on Renault Clio 4 and Laguna 3.
Recommended Content
Authors
Topic
Citation
Baudet, G., "Wind Noise Source Identification by Inverse Method in Wind Tunnel Test," SAE Technical Paper 2017-01-1784, 2017, https://doi.org/10.4271/2017-01-1784.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 | ||
Unnamed Dataset 5 | ||
Unnamed Dataset 6 |
Also In
References
- Illy H. , Ricot D. Etude de la structure de l'excitation aéroacoustique de vitrages automobiles CFM 2009 Marseille France 2009
- Hekmati A. , Ricot D. , Druault P. Vibroacoustic behavior of a plate excited by synthesized aeroacoustic pressure fields 16th AIAA/CEAS Aeroacoustics Conference Stockholm Sweden 2010
- Schell , A. and Cotoni , V. Prediction of Interior Noise in a Sedan Due to Exterior Flow SAE Int. J. Passeng. Cars - Mech. Syst. 8 3 1090 1096 2015 10.4271/2015-01-2331
- Pezerat C. Prospects for vibroacoustic methods in automotive industry SIA 2010 Le Mans France 2010
- Leclere Q. , Pezerat C. Time domain identification of loads on plate like structures using an array of acoustic velocity sensors Acoustics’08 Paris France 2008
- Leclere Q. , Pezerat C. Vibration source identification using corrected finite difference schemes Journal of Sound and Vibration 331 1366 1377 2012
- Lecoq D. , Pezerat C. , Thomas J.-H. Mesure des bas nombres d’onde dans un champ de pressions pariétales turbulentes par une méthode inverse basée sur l’acquisition en 13 points des vibrations induites par l’écoulement CFA 2014 Poitiers France 2014
- Souffleries Aéroacoustiques Automobiles - 2 Avenue Volta, 78180 Montigny-le-Bretonneux http://www.soufflerie2a.com/