Research on dynamic characteristics of transmission system considering tooth root crack

被引：0
|
作者：
Mo S. [1 ,2 ,3 ,4 ]
Hu Q. [1 ]
Wang L. [1 ]
Cen G. [5 ]
机构：
[1] School of Mechanical Engineering, Tiangong University, Tianjin
[2] School of Mechanical Engineering, Guangxi University, Nanning
[3] State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan
[4] Jiangsu Wanji Transmission Technology Co. Ltd., Jiangsu, Taizhou
[5] Ningbo Zhongda Leader Transmission Equipment Co. Ltd., Zhejiang, Ningbo
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2023年 / 51卷 / 12期
关键词：
energy method; failure mechanism; root crack; time-varying meshing stiffness; vibration displacement;
D O I：
10.13245/j.hust.239084
中图分类号：
学科分类号：
摘要：
The energy method was used to study the influence of crack depth along tooth thickness, crack inclination angle and propagation length along tooth width on time-varying meshing stiffness, load distribution and transmission error of gear. A cylindrical gear translation-torsion dynamics model was established by the centralized parameter method to simulate the dynamic response of different types of cracks in the gear system, and time-frequency analysis was used to study the dynamics of the gear transmission system under the cracked state.The results show that with the increase of crack depth along tooth thickness, length along tooth width and crack inclination angle, the time-varying meshing stiffness of the gear decreases, the transmission error increases, and the load distribution of gear is affected.Taking the time-varying meshing stiffness as the dynamic excitation of the gear system, it is found that the dynamic response of the vibration displacement of the driving gear in the y-axis direction increases and shows a periodic change consistent with the time-varying meshing stiffness under the fault.Crack failures in gear trains can be effectively diagnosed using statistical indicators such as root mean square and crag, with crag being the most sensitive to crack failures. © 2023 Huazhong University of Science and Technology. All rights reserved.
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页码：68 / 72
页数：4
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