Experimental‐based study of gear vibration characteristics incorporating the fractal topography of tooth surface

Author:

Lei Qi'ao1,Yuan Lei1,Yu Xin1,Sun Yunyun1ORCID,Li Hongguang2

Affiliation:

1. School of Power and Mechanical Engineering Wuhan University Wuhan Hubei Province China

2. State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China

Abstract

AbstractMicroscopic roughness is inevitable on the gear meshing surface, which is also a key parameter affecting the dynamic response. The surface roughness exhibits self‐affine characteristics across multiscales. To explore the influence of surface fractal topography on the vibration amplitude of the gear system under different rotational speeds and loads, an experimental setup of spur gear transmission is devised. The fractal dimension and fractal roughness of the meshing surface are calculated by the power spectral density method. The relationships between gear response and fractal parameters are revealed experimentally. Results indicate that a rougher tooth surface, that is, a smaller fractal dimension or larger fractal roughness, corresponds to an intense vibration amplitude. The sensitivity of dynamic response to the tooth surface topography varies at different rotational speeds and loads. Under low speed and light load conditions, the fractal dimension and fractal roughness have a more obvious influence on the dynamic response of the gear transmission system. With the increase of speed and load, the macroworking conditions gradually become the main factor attributed to vibration amplitude.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Reference47 articles.

1. A novel tooth surface modification methodology for wide-faced double-helical gear pairs

2. Rotordynamics analysis of a single helical gear transmission system for high speed applications

3. Nonlinear dynamic modeling and analysis of spur gear based on gear compatibility conditions

4. The fault diagnosis of gear based on kernel density estimation;Song H;J Computat Methods Sci Eng,2018

5. Gear fault diagnosis using autogram analysis;Adel A;Adv Mech Eng,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3