首页> 外文会议>Symposium on bearing steel technology: Developments in rolling bearing steels and testing >A New Methodology for Predicting Fatigue Properties of Bearing Steels: From X-Ray Micro-Tomography and Ultrasonic Measurements to the Bearing Lives Distribution
【24h】

A New Methodology for Predicting Fatigue Properties of Bearing Steels: From X-Ray Micro-Tomography and Ultrasonic Measurements to the Bearing Lives Distribution

机译:一种预测轴承钢的疲劳性能的新方法:从X射线微型层面和超声测量到轴承寿命分布

获取原文

摘要

This work aims at developing a new methodology for predicting the distribution of fatigue lives of bearings versus steel microstructure, namely, concentration, morphology, and properties of residual inclusions in steel. On the experimental side, X-ray micro-tomography and high frequency ultrasonic testing are used to provide the required inclusion characteristics. A physically based model is used to compute the number of cycles to crack nucleation and crack propagation up to the surface. For the statistics predictions, the inclusions and/or stringers are distributed randomly in the bearing steel according to the concentration of stringers provided by ultrasonic data. The distributions of the fatigue lives predicted by the model are compared successfully to the experimental distributions determined by fatigue tests performed on flat washer machines. Finally, it is shown that the model is able to predict the influence of the orientation of stringers on the fatigue lives.
机译:这项工作旨在开发一种新方法,以预测轴承与钢微观结构的疲劳寿命分布,即浓度,形貌和钢中残留夹杂物的性质。在实验侧,使用X射线微型层析造影和高频超声波检测来提供所需的包涵特性。物理上基于物理的模型用于将循环次数计算成裂缝成核和裂缝扩展到表面。对于统计预测,夹杂物和/或纵梁根据超声数据提供的桁条浓度随机分布在轴承钢中。将模型预测的疲劳寿命的分布成功比较至通过在平底垫圈机上进行的疲劳试验确定的实验分布。最后,表明该模型能够预测桁条取向对疲劳生活的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号