Volume 4, Number 2, 2020
|Number of page(s)||12|
|Published online||12 May 2020|
Technical & Applied Article
Understanding the contribution of groove resonance to tire-road noise on different surfaces under various operating conditions
Institute of Vehicle System Technology, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
2 Nihon Michelin Tire Co. Ltd., 163-1073 Tokyo, Japan
3 Manufacture Française des Pneumatiques Michelin, 63040 Clermont-Ferrand Cedex 9, France
* Corresponding author: email@example.com
Accepted: 21 April 2020
Reducing tire-road noise is now becoming more and more important during the tire development process. Tread profile randomization is used to avoid tonal components and reduce groove resonance noise. To better understand the groove resonance contribution to tire-road noise, we performed acoustic measurements on a test bench with two serial tires. We filled the grooves with acoustic foam to highlight the groove resonance’s contribution. We then varied the road surface, the tire load and the driving speed. In the end, we used a multiple linear regression to quantify the interaction between the varying parameters and the groove resonance noise. We show that groove resonance contributes an average of 1.7 dBA to the tire rolling noise of passenger car tires. Groove resonance noise also increases with the driving speed. While the tread pattern and the tire load are responsible for the spectral content of the groove resonance noise, the orientation of the road surface’s texture mainly influences the noise level of the groove resonance. The tire manufacturers should carefully consider these findings when developing noise-optimized patterns. This is especially true for tire approval tests, which take place on tracks and usually have a relatively low texture level that is oriented negatively.
Key words: Tire road noise / Groove resonance / Regression / Pavement / Experimental method
© J. Pinay et al., Published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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