Design Principles of Controlling Vehicle Gear Whine Noise Based on Loudness Metric

Abstract:

In-vehicle noise is composed of a variety of tonal (frequency-related) components and the tonal components play an important role in the improvement of sound quality for interior vehicle noise. Among them, gear whine noise is the key contributor to total in-vehicle noise and gain a lot of researchers interest. Through their effort, the spl (dBA) is relatively low. However, customers still perceive the tonal components and complain about the vehicle quality. Therefore a better understanding of how tonal components are perceived is necessary for automotive gear transmission designers. In this study, firstly, gear dynamic behavior is briefly introduced to get the gear noise spectrum. Secondly, human hearing mechanism to different tonal components is summed. Then loudness case studies are conducted. Finally, some basic design principles of controlling gear whine noise are proposed based on the results.

• Periodical: Applied Mechanics and Materials (Volumes 477-478)
• Pages: 86-89
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.477-478.86
• Online since: December 2013
• Authors: Dong Guo*, Quan Shi, Wen Li Li, Chuan He Xu
• Keywords: Design Principle, Gear Whine, Loudness, Vehicle

References

[1] Fastl H, Zwicker E: Psychoacoustics: Facts and models. (Springer, 2006).

[2] Abe T, Cheng Y, Nowaczyk K, and Wilson B. K. Practical Methods for Managing the Gear Whine Phenomena. ASME. (2007).

DOI: 10.1115/detc2007-34559

[3] Oh S, Kang K T, Soh K Y, et al. Whine Noise Development of Engine Timing Gear System in Heavy Duty Vehicle. ASME, (2011).

DOI: 10.1115/detc2011-47251

[4] Hammad N, Metwalley S, Abou-El-Nour A, et al. Noise Generating Mechanisms of Vehicle Alternators. SAE Technical Paper, 2005: 01-3616.

DOI: 10.4271/2005-01-3616

[5] Smith, J. Derek. Gear noise and vibration. CRC Press, (2003).

[6] Moore, BCJ. An Introduction to the Psychology of Hearing. Emerald, (2012).

[7] DIN 45631 Calculation of volume and loudness based on the noise spectrum [S] Berlin, Germany, (1991).