4.6 Article

Fatigue Life Prediction of Rolling Bearings Based on Modified SWT Mean Stress Correction

期刊

出版社

SPRINGER
DOI: 10.1186/s10033-021-00625-9

关键词

Rolling bearings; Fatigue life prediction; Modified SWT model; Mean stress correction

资金

  1. National Natural Science Foundation of China [51875089]

向作者/读者索取更多资源

The study introduces a novel fatigue life prediction model based on modified SWT mean stress correction, taking into account the sensitivity of materials and mean stress on the fatigue life of rolling bearings. By introducing a compensation factor to improve the existing SWT model, the proposed model shows better accuracy and outperforms the traditional SWT model, as validated through experimental data.
The existing engineering empirical life analysis models are not capable of considering the constitutive behavior of materials under contact loads; as a consequence, these methods may not be accurate to predict fatigue lives of rolling bearings. In addition, the contact stress of bearing in operation is cyclically pulsating, it also means that the bearing undergo non-symmetrical fatigue loadings. Since the mean stress has great effects on fatigue life, in this work, a novel fatigue life prediction model based on the modified SWT mean stress correction is proposed as a basis of which to estimate the fatigue life of rolling bearings, in which, takes sensitivity of materials and mean stress into account. A compensation factor is introduced to overcome the inaccurate predictions resulted from the Smith, Watson, and Topper (SWT) model that considers the mean stress effect and sensitivity while assuming the sensitivity coefficient of all materials to be 0.5. Moreover, the validation of the model is finalized by several practical experimental data and the comparison to the conventional SWT model. The results show the better performance of the proposed model, especially in the accuracy than the existing SWT model. This research will shed light on a new direction for predicting the fatigue life of rolling bearings.

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

4.6
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