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标 题: A Comprehensive Model for Assessing the Impact of Steel Cleanliness on Bearing Performance
评估钢材洁净度对轴承性能影响的综合模型
作 者: Ai, Xiaolan
关键词: bearing fatigue life  [轴承疲劳寿命]
rolling contact fatigue  [ 滚动接触疲劳]
steel cleanliness  [ 钢材洁净度]
inclusions  [ 包含]
出版年: 2015
期刊名: Journal of Tribology
摩擦学杂志
年卷期: 2015, vol.137, no.1
摘 要: Steel cleanliness as measured by nonmetallic inclusion content in steel plays a major role in affecting bearing durability. A high-fidelity virtual bearing life test model was developed to predict the impact of inclusions on bearing fatigue life. This model analyzes distributions of inclusion size, shape, orientation, and location, and computes stress alterations to bearing material due to inclusions and the resulting life reduction. Comparisons between model predictions and experimental test results were made, confirming the validity of the model. Parametric studies were conducted to explore the effects of inclusion counts, inclusion size distributions, and the effect of overall bearing size on bearing life. A regression equation was proposed based on simulation results, linking the bearing life reduction factor (LRF) to the accumulative inclusion length within the stressed volume under contact load.

钢中非金属夹杂物含量的洁净度在影响轴承寿命方面起着重要作用。为此,开发了一种高保真的虚拟轴承寿命测试模型,用于预测夹杂物对轴承疲劳寿命的影响。该模型分析了夹杂物的尺寸、形状、取向和位置分布,并计算因夹杂物导致的轴承材料应力变化及其引起的寿命降低。通过将模型预测结果与实验测试结果进行对比,验证了模型的有效性。同时开展了参数研究,探讨了夹杂物数量、夹杂物尺寸分布以及整体轴承尺寸对轴承寿命的影响。基于仿真结果,提出了回归方程,将轴承寿命降低系数(LRF)与接触载荷下受力区域内的累积夹杂物长度联系起来。
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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