1.河北工业大学 天津市新能源汽车动力传动与安全技术重点实验室,天津 300130
2.广西大学 机械工程学院,南宁 530004
蒲祥润,男,2000年生,山东济南人,在读硕士研究生;主要研究方向为旋转机械的故障诊断;E-mail:a17854190711@163.com。
收稿:2024-07-04,
纸质出版:2026-05-15
移动端阅览
蒲祥润,陈勇,李光鑫,等. 斜齿轮疲劳点蚀故障动力学仿真与试验研究[J]. 机械强度,2026,48(5):49-57.
PU Xiangrun,CHEN Yong,LI Guangxin,et al. Dynamic simulation and test research on fatigue pitting failure of helical gear pairs[J]. Journal of Mechanical Strength,2026,48(5):49-57.
蒲祥润,陈勇,李光鑫,等. 斜齿轮疲劳点蚀故障动力学仿真与试验研究[J]. 机械强度,2026,48(5):49-57. DOI: 10.16579/j.issn.1001.9669.2026.05.006.
PU Xiangrun,CHEN Yong,LI Guangxin,et al. Dynamic simulation and test research on fatigue pitting failure of helical gear pairs[J]. Journal of Mechanical Strength,2026,48(5):49-57. DOI: 10.16579/j.issn.1001.9669.2026.05.006.
目的
2
针对齿面点蚀这一斜齿轮接触疲劳的主要失效形式,深入研究点蚀程度对齿轮系统振动特性的影响规律。
方法
2
首先,构建了斜齿轮副多自由度非线性动力学模型;其次,基于实际点蚀的几何形状和位置,采用改进的势能法结合有限元法,系统分析了不同点蚀程度下的时变啮合刚度;最后,将该关键参数代入动力学模型,模拟从轻微到严重点蚀状态下的时频域振动响应,并与故障演化阶段的试验数据进行了对比验证。
结果
2
结果表明,仿真所得的基频谐波、故障特征频率及边频带分布等关键指标与试验结果呈现较好的一致性。研究成果为斜齿轮副的故障诊断与健康预测提供了重要的依据与技术支撑。
Objective
2
Pitting corrosion on tooth surfaces is a primary failure mode in helical gear contact fatigue
significantly affecting the operational stability of gear systems. This study aims to investigate the influence of pitting severity on vibration characteristics.
Methods
2
Firstly
a multi-degree-of-freedom nonlinear dynamic model of a helical gear pair was established. Secondly
based on the actual pitting morphology and location
the time-varying mesh stiffness under varying degrees of pitting was analyzed using an improved potential energy method combined with the finite element method. Finally
this crucial parameter was incorporated into the dynamic model to simulate vibration responses in both time and frequency domains
ranging from mild to severe pitting conditions.
Results
2
The simulation results show a great agreement with the test data in terms of fundamental frequency harmonics
fault characteristic frequencies
and sideband distributions. These findings provide a foundation and technical basis for the fault diagnosis and health prognosis of helical gear pairs.
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