4.5 Article

A novel analytical model for evaluating the time-varying meshing stiffness of helical gears under irregular pitting failure

期刊

ARCHIVE OF APPLIED MECHANICS
卷 -, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1007/s00419-023-02460-x

关键词

Helical gear mesh stiffness; Pitting model; Potential energy method; Finite element method

向作者/读者索取更多资源

In this study, an irregular-shaped pitting model is constructed by the slicing method, and the calculation equations for time-varying meshing stiffness (TVMS) under the irregular pitting model are derived considering the effect of axial stiffness. A randomly distributed tooth surface pitting evolution model is established by the random pitting generation function, and the effects of different failure degrees of pitting on the TVMS are evaluated. The faulty helical gear pairs are simulated in Solidworks using the finite element method (FEM), confirming the effectiveness of the proposed irregular pitting evolution model and calculation method.
Helical gear teeth are subject to spalling, pitting and other failures under prolonged operation, which can contribute to a reduction in the time-varying meshing stiffness (TVMS) of the gear. The shape of the depression formed by the absence of the gear tooth surface is irregular in practice. Firstly, an irregular-shaped pitting model is constructed by the slicing method. On the premise of improving the transition curve, the TVMS calculation equations under the irregular pitting model are derived considering the effect of axial stiffness. Then, a randomly distributed tooth surface pitting evolution model was established by the random pitting generation function, and the effects of three different failure degrees from slight to severe pitting on the TVMS are evaluated. Eventually, the faulty helical gear pairs are constructed in Solidworks and simulated by the finite element method (FEM), verifying that the irregular pitting evolution model and calculation method proposed in this paper are effective.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据