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标 题: A method for predicting subsurface fatigue life of rolling bearings based on macro-micro coupling model
基于宏观-微观耦合模型预测滚动轴承内部疲劳寿命的方法
作 者: Li, Chang
Chen, Zhengwei
Liu, Zhaotai
Han, Xing
Chen, Xinxue
关键词: Rolling bearing  [滚动轴承]
Voronoi model  [ 沃罗诺伊模型]
grain heterogeneity  [ 谷物异质性]
fatigue Life  [ 疲惫的生活]
SIMULATION  [ 模拟]
STEEL  [ 钢铁]
出版年: 2022
期刊名: Proceedings of the Institution of Mechanical Engineers, Part J. Journal of engineering tribology
机械工程师学会会刊,J部分。工程摩擦学杂志
年卷期: 2022, vol.236, no.6
摘 要: The fatigue life of the bearing can be predicted effectively by combining the multifield coupling condition of the working process with the internal microstructure. In this paper, a bearing fluid lubrication model is established based on the computational fluid dynamics method, and the calculation result is coupled to the thermal-solid model by the grid mapping method. Through this method, a bearing thermal-fluid-solid multifield coupling dynamics model is established to obtain the evolution information of bearings. Simultaneously, the micro-characterization experiments of SKF6406 bearing (M50 bearing steel) were carried out by electron backscatter diffraction, scanning electron microscope and nano-indentation. The microstructure model of bearing containing micro-inclusions was established by the Voronoi method. On this basis, the microscopic stress distribution characteristics and the motion law of bearing microstructure under the multifield coupling action are solved. In the end, the fatigue life prediction method of rolling bearing was established.

通过将工作过程中的多场耦合条件与内部微观结构相结合,可有效预测轴承的疲劳寿命。本文基于计算流体动力学方法建立了轴承液态润滑模型,并采用网格映射法将其计算结果与热-固耦合模型进行衔接。通过该方法,构建了轴承热-流-固多场耦合动力学模型,以获取轴承的演化信息。同时,利用电子背散射衍射、扫描电子显微镜和纳米压痕技术对SKF6406轴承(M50轴承钢)进行了微观特性表征实验。基于Voronoi方法建立了含微夹杂物轴承的微观结构模型。在此基础上,求解了轴承在多场耦合作用下的微观应力分布特征及微观结构运动规律。最终,建立了滚动轴承的疲劳寿命预测方法。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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