4.7 Article

An efficient three-dimensional dynamic contact model for cylindrical gear pairs with distributed tooth flank errors

期刊

MECHANISM AND MACHINE THEORY
卷 152, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mechmachtheory.2020.103930

关键词

Distributed tooth flank errors; Dynamic time-dependent mesh stiffness; Dynamic composite mesh error; Dynamic transmission error; Dynamic load distribution

资金

  1. Natural Science Basic Research Program of Shaanxi [2020JQ-807, 2019JQ-695, 2018JM5046]
  2. National Natural Science Foundation of China [51535009, 51605040]
  3. National Key R&D Program of China [2018YFB2001501]

向作者/读者索取更多资源

Coupled loaded tooth contact analysis (LTCA) model and lumped-parameters model, an efficient three-dimensional dynamic contact model for cylindrical gear pairs with distributed tooth flank errors is established. The solution scheme of the proposed model is constructed using a combination of the loaded tooth contact algorithm and the Newmark integration method. The dynamic load distributions at different input speeds can be determined, and the dynamic time-dependent mesh stiffness and dynamic composite mesh error are proposed and calculated. The proposed model is validated by comparing the obtained numerical results with the experimental results from the published works, and has much higher efficiency compared with three-dimensional dynamic contact finite element method. The effects of helix angle, mesh damping, distributed tooth flank errors and output torque on the vibration behaviors and dynamic load distributions of cylindrical gear pairs under different working conditions are investigated and discussed. The proposed model can also be used to predict the vibration behaviors and the instantaneous three-dimensional dynamic contact state of cylindrical gear pairs with different distribution forms of tooth flank errors and various tooth surface modifications. (C) 2020 Elsevier Ltd. All rights reserved.

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

4.7
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