作者：张振1,2, 陈春俊1,2, 孙琦1
作者单位：1. 西南交通大学机械工程学院, 四川 成都 610031;
2. 西南交通大学 轨道交通运维技术与装备四川省重点实验室, 四川 成都 610031
关键词：齿轮;齿根裂纹;时变啮合刚度;势能法;劣化特性
摘要：
为研究相邻双齿根裂纹故障下的直齿轮时变啮合刚度劣化特性，根据直齿轮啮合原理以及时变啮合刚度的变化特性，采用具有较高计算精度的势能法，对不同工况下的双齿根裂纹故障区间刚度以及双故障齿的双齿啮合周期刚度劣化特性进行仿真计算分析。结果表明，两故障齿的最大裂纹深度对故障区间刚度劣化率的影响占主导地位；在双故障齿的双齿啮合周期中，最先啮入的故障齿裂纹深度对该区间刚度劣化率的影响占主导地位。研究结论揭示直齿轮双齿根裂纹故障刚度劣化过程，可为齿根裂纹故障诊断与在线监测提供理论基础和指导。
Research on gear stiffness degradation characteristics of gear with double root cracks
ZHANG Zhen1,2, CHEN Chunjun1,2, SUN Qi1
1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
2. Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu 610031, China
Abstract: In order to study the time-varying mesh stiffness degradation characteristics of spur gears under adjacent double-tooth root cracks, based on the spur gear meshing principle and the variation characteristics of time-varying mesh stiffness, and using the potential energy method with higher calculation accuracy for different working conditions. The simulation of the double-tooth root crack fault interval stiffness and the double-tooth meshing period stiffness degradation characteristics of the double-faulted teeth is carried out. The results show that the two fault teeth’s maximum crack depth is of the dominant influence on the stiffness degradation rate of the fault interval; in the double-tooth meshing period of the two fault teeth, the crack depth of the first faulted tooth is of the dominant influence on the stiffness degradation rate. The research reveals the process of fault stiffness degradation of spur gear double-tooth root cracks, which provides theoretical basis and guidance for fault diagnosis and online monitoring of root crack.
Keywords: gear;tooth root crack;time-varying mesh stiffness;potential energy principle;degradation characteristics
2020, 46(5):127-133 收稿日期: 2019-12-05;收到修改稿日期: 2020-01-15
基金项目: 国家自然科学基金项目(51975487)
作者简介: 张振(1995-),男,贵州遵义市人,硕士研究生,专业方向为机械动力学仿真与信号分析
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