0
RESEARCH PAPERS: Other Vibration and Sound Papers

Prediction Method of Gear Noise Considering the Influence of the Tooth Flank Finishing Method

[+] Author and Article Information
Teruo Masuda, Toru Abe

Kobe Steel, Ltd., Kobe, Hyogo, Japan

Kanji Hattori

Osaka Chain & Machinery, Ltd., Kaizuka, Osaka, Japan

J. Vib., Acoust., Stress, and Reliab 108(1), 95-100 (Jan 01, 1986) (6 pages) doi:10.1115/1.3269309 History: Received June 12, 1985; Online November 23, 2009

Abstract

Simple and accurate prediction methods of gear unit noise have been desired. This paper offers a new prediction equation for spur and helical gears under speed reduction service. A semi-empirical equation was developed by means of the addition of a dynamics term to Kato’s equation which represented the overall noise level by using gear’s specification data. As the proposed method takes into account the gear error characteristics in the vibration analysis of gear pairs, it can calculate the noise levels considering the influence of the tooth flank finishing method. It is shown that the predicted values agree with the measured values in an experiment within a range of approximately 5dB, under almost all the operating conditions and for all test gears having different finishing methods such as hobbing, Niles-type grinding and Maag-type grinding. Moreover, good agreement with data of some actual gear units indicates that the developed method may be used for general application.

Copyright © 1986 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In