The Effects of Suspension Component Stiffness on the Road Noise: A Sensitivity Study and Optimization

Abstract Over the last years, SEA has been recognized as a useful tool to model and analyze the high-frequency vibro-acoustic behavior of fully assembled complex structures. This paper discusses the experimental derivation of the loss factor model of a passenger car. The paper outlines the different steps which need to be taken to obtained a fully validated experimental SEA model. This includes the subdivision into subsystems, the PIM measurement campaign, the derivation of the loss factors and their associated confidence levels and the model validation. The paper further details how the experimental SEA model was used to quantify and investigate the airborne and structure-borne contributions to the interior noise level for a road noise test condition. The operational power inputs to the vehicle were indirectly determined from operational response measurements. A contribution analysis showed that airborne noise sources dominated structure-borne noise sources above 500Hz. A sensitivity study allowed to propose an effective design modification. This modification was implemented and successfully tested on the road.

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The Study of Tire Pattern Noise by Using Wavelet Transform

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.105-107.267 ◽

2011 ◽

Vol 105-107 ◽

pp. 267-270 ◽

Cited By ~ 1

Author(s):

Sung Wook Hwang ◽

Jin Hyuk Han ◽

Ki Duck Sung ◽

Sang Kwon Lee

Keyword(s):

Fourier Transform ◽

Wavelet Transform ◽

The Other ◽

Road Noise ◽

Signal Process ◽

The Road ◽

Pattern Noise ◽

On The Road ◽

Non Stationary Signal ◽

The Relationship

Tire noise is classified by pattern noise and road noise in a vehicle. Especially pattern noise has impulsive characteristics since it is generated by impacting of tire’s block on the road. Therefore, a special signal process is needed other than traditional Fourier Transform, because the characteristic of signal is varying with time. On the other hand, the pattern noise is a kind of non-stationary signal and is related to the impulsive train of pitch sequence of a block. In this paper, Wavelet Transform is applied to verify the impulse signal caused by impact of block and groove and to verify the relationship between the pattern noise and the train of pitch sequence.

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