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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:预测轴承钢疲劳性能的新方法:从X射线显微断层扫描和超声波测量到轴承寿命分布

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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的方法来预测轴承疲劳寿命与钢微结构的分布,即钢中残余夹杂物的浓度,形态和性质。在实验方面,使用X射线断层扫描和高频超声测试来提供所需的夹杂特性。基于物理的模型用于计算裂纹成核和裂纹扩展到表面的循环次数。为了进行统计预测,根据超声波数据提供的桁条浓度,夹杂物和/或桁条在轴承钢中随机分布。将模型预测的疲劳寿命分布与通过在平板洗衣机上进行的疲劳测试确定的实验分布进行了成功比较。最后,表明该模型能够预测桁条方向对疲劳寿命的影响。

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