Vibration characteristics analysis of flexible helical gear system with multi-tooth spalling fault: Simulation and experimental study

剥落 结构工程 振动 工程类 有限元法 断层(地质) 刚度 转速 机械工程 声学 地质学 物理 地震学
作者
Zimeng Liu,Erliang Shang,Yifan Huangfu,Hui Ma,Jiazan Zhu,Songtao Zhao,Xinhua Long,Zhanwei Li
出处
期刊:Mechanical Systems and Signal Processing [Elsevier BV]
卷期号:201: 110687-110687
标识
DOI:10.1016/j.ymssp.2023.110687
摘要

Gear systems operating at high speeds and under heavy loads are susceptible to continuous multiple tooth surface spalling. The time-varying meshing stiffness (TVMS) model of helical gear pair with multi-tooth spalling fault is established by combining image recognition method and loaded tooth contact analysis (LTCA) method to target the actual form of the spalling fault, and its effectiveness was verified through finite element method (FEM). The flexible helical gear dynamic model is established by utilizing 8-node shell model and Timoshenko beam model to simulate the gear foundations and shafts, the TVMS in multi-tooth spalling fault condition is introduced as the excitation. The mapping relationship between the meshing process, TVMS and vibration response under the influence of rotational speed, spalling surface morphology scale, spalling depth and location of spalling occurrence is analyzed by combining simulation and experimental results. As the rotational speed increases, the specific meshing frequency coincides with the natural frequency of the gear system, leading to the phenomenon of superharmonic resonance. Continuous multi-tooth spalling fault results in continuous time-domain shocks and the meshing frequency modulation of the rotational frequency of the gear with spalling fault. In the absence of bottoming out, the increase in spalling surface morphology scale exerts a more pronounced influence on the vibration characteristics of the helical gear system compared to the increase in spalling depth. The research results can provide theoretical basis for gear system fault diagnosis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gaogaogao发布了新的文献求助10
刚刚
qianshu发布了新的文献求助10
1秒前
baiqi完成签到,获得积分10
1秒前
明亮电脑完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
3秒前
L~完成签到,获得积分10
4秒前
Starain完成签到,获得积分10
4秒前
今天吃烧麦了吗完成签到,获得积分10
4秒前
所所应助yangxt-iga采纳,获得10
4秒前
5秒前
NexusExplorer应助天马行空采纳,获得10
5秒前
5秒前
科研通AI5应助heli采纳,获得10
5秒前
6秒前
JIAO完成签到,获得积分10
6秒前
memo完成签到,获得积分10
6秒前
6秒前
boyis完成签到,获得积分10
6秒前
马小翠发布了新的文献求助10
6秒前
Hyperme完成签到,获得积分10
7秒前
MaYi完成签到,获得积分10
7秒前
顾影完成签到,获得积分10
8秒前
皮三问发布了新的文献求助20
8秒前
chen完成签到 ,获得积分10
9秒前
哈哈发布了新的文献求助10
9秒前
9秒前
9秒前
NexusExplorer应助小羊羊采纳,获得10
10秒前
Tina完成签到,获得积分10
10秒前
魚子应助fy采纳,获得30
10秒前
zyl应助ldy采纳,获得10
10秒前
乐乐应助典雅凌蝶采纳,获得10
11秒前
科研通AI5应助吱吱采纳,获得10
11秒前
橙子发布了新的文献求助10
12秒前
顾影发布了新的文献求助10
12秒前
zhang完成签到,获得积分10
12秒前
呃呃呃c应助卧镁铀钳采纳,获得20
13秒前
高分求助中
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Diagnostic Pathology: Kidney Diseases 200
Advanced Micropipette Techniques for Cell Physiology 200
Encyclopedia of Ocean Sciences Third Edition 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3827705
求助须知:如何正确求助?哪些是违规求助? 3369930
关于积分的说明 10459808
捐赠科研通 3089768
什么是DOI,文献DOI怎么找? 1700053
邀请新用户注册赠送积分活动 817656
科研通“疑难数据库(出版商)”最低求助积分说明 770318