Wind Noise Source Characterization and How It Can Be Used To Predict Vehicle Interior Noise

2014 ◽  
Author(s):  
Denis Blanchet ◽  
Anton Golota ◽  
Nicolas Zerbib ◽  
Lassen Mebarek
Keyword(s):  
Noise Source ◽  
Interior Noise ◽  
Source Characterization ◽  
Vehicle Interior ◽  
Wind Noise ◽  
Vehicle Interior Noise

Numerical investigation on the contribution of underbody flow-induced noise on vehicle interior noise

2021 ◽  
pp. 095440702110044
Author(s):  
Yiping Wang ◽  
Mintao Du ◽  
Chuqi Su ◽  
Wenguang Wu
Keyword(s):  
Noise Source ◽  
Interior Noise ◽  
Experimental Result ◽  
Aerodynamic Noise ◽  
Acoustic Response ◽  
Vehicle Model ◽  
Vehicle Interior ◽  
Wind Noise ◽  
Flow Induced Noise ◽  
Computational Fluid Dynamics Cfd

Aerodynamic noise transmitted through greenhouse panels and sealing often dominates the higher frequencies of the interior noise level, whereas the underbody area contributes mainly to low and middle frequencies. A method that unsteady Computational Fluid Dynamics (CFD) for exterior airflow combined with Finite Element Method (FEM) for interior acoustic response was used. To validate the accuracy of this method, the interior wind noise of a simplified vehicle model proposed by Hyundai was computed. The comparison between the computational and experimental result showed that this method had enough accuracy to compute the interior wind noise induced by the exterior flow field. Then, the same method was used to compute the wind noise transmitted through the underbody of a passenger car. The characteristic of the noise source and noise inside the cabin was revealed, and the contribution of underbody flow-induced noise to the interior noise was also investigated. Finally, the influence of the underbody panels thicknesses on the interior wind noise was evaluated.

A CFD/SEA Approach for Prediction of Vehicle Interior Noise due to Wind Noise

2009 ◽  
Author(s):  
Philippe Moron ◽  
Robert Powell ◽  
Dave Freed ◽  
Franck Perot ◽  
Bernd Crouse ◽  
...  
Keyword(s):  
Interior Noise ◽  
Vehicle Interior ◽  
Wind Noise ◽  
Vehicle Interior Noise

Vehicle interior noise and vibration prediction by combination analyses of Component and Operational TPA

2021 ◽  
Vol 263 (5) ◽  
pp. 1833-1844
Author(s):  
Takuma Tanioka ◽  
Junji Yoshida
Keyword(s):  
Test Bench ◽  
Noise Source ◽  
The Body ◽  
Interior Noise ◽  
Vehicle Model ◽  
Vehicle Interior ◽  
Noise And Vibration ◽  
Vehicle Interior Noise ◽  
Vibration Prediction ◽  
Operational Test

In this study, we propose an analytical method consisting of Operational TPA (OTPA) and Component TPA (CTPA) to predict the vehicle interior noise and vibration without the vehicle operational test in case the noise source such as engine was modified. In the proposed method, the blocked force of the noise source was obtained at a test bench and the vibration at the source attachment point on the vehicle was calculated by CTPA. After then, the response point signal (interior noise / vibration) is estimated from several reference point signals including the calculated vibration by OTPA. For the verification of this method, a simple vehicle model which is composed of four tires and a motor was prepared in addition to a test bench. OTPA was firstly applied to the vehicle model to analyze the contribution from tires and a motor to the body vibration (response point). The blocked force of a modified motor was obtained by CTPA at the test bench and the force was used to predict the response point by OTPA. Finally, the estimated interior vibration was compared with the actual measured response point vibration when the motor was replaced on the vehicle model and the accuracy was verified.

Vehicle Moonroof Design for Wind Noise

2004 ◽  
Author(s):  
Yuksel Gur ◽  
Apoorva Agarwal ◽  
James Michnya
Keyword(s):  
Wind Tunnel ◽  
Flow Behavior ◽  
Analytical Techniques ◽  
Interior Noise ◽  
Vehicle Interior ◽  
Wind Noise ◽  
Test Track ◽  
Vehicle Interior Noise ◽  
Generation Mechanisms ◽  
Dynamics Simulations

A study was undertaken to address excessive moonroof wind noise in some vehicles. Mathematical models were developed to understand noise generation mechanisms associated with the moonroof system, and these models were used to investigate ways to reduce vehicle interior noise levels. Extensive acoustic & vibration testing was performed on vehicles in the wind tunnel and on the test track. The wind tunnel and test track data were analyzed in a sound quality laboratory for root cause analysis. CFD (computational fluid dynamics) simulations were performed to understand flow behavior over the moonroof in both modes of operations (vented and fully retracted). An experimental moonroof deflector optimization study was developed and conducted to identify the necessary design changes to minimize the vehicle interior noise level for fully retracted condition. Variability studies were also performed on the moonroof flushness, deflector height, and retraction distance. Through extensive analyses, using both experimental and analytical techniques, the main causes of wind noise associated with moonroof system were identified. Vehicle moonroof design recommendations were generated for significant wind noise reductions.

Plane Wave Resonance in the Tire Air Cavity as a Vehicle Interior Noise Source

1995 ◽  
Vol 23 (1) ◽  
pp. 2-10 ◽  
Author(s):  
J. K. Thompson
Keyword(s):  
Closed Form Solution ◽  
Form Solution ◽  
Interior Noise ◽  
Cavity Resonance ◽  
Test Results ◽  
Vehicle Interior ◽  
Air Cavity ◽  
Vehicle Interior Noise ◽  
Wave Resonance ◽  
Resonance Frequencies

Abstract Vehicle interior noise is the result of numerous sources of excitation. One source involving tire pavement interaction is the tire air cavity resonance and the forcing it provides to the vehicle spindle: This paper applies fundamental principles combined with experimental verification to describe the tire cavity resonance. A closed form solution is developed to predict the resonance frequencies from geometric data. Tire test results are used to examine the accuracy of predictions of undeflected and deflected tire resonances. Errors in predicted and actual frequencies are shown to be less than 2%. The nature of the forcing this resonance as it applies to the vehicle spindle is also examined.

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