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<p>Surface defects, such as pitting and spalling, are the main failure root for the rolling bearings in many industrial applications. Identifying the defect evolution mechanism is critical for the life prediction of the rolling bearings. A three-dimensional model is established based on the continuum damage mechanics (CDM) theory, and the octahedral shear stress is applied so that the multiaxial fatigue can be evaluated effectively. A partial model is first utilized to analyze the dynamic stress variation behavior, in which the continuous motion process is discretized into a series of static analysis steps. As a result, the stress distribution and damage rate during the damage initiation and propagation period are depicted. Thereafter, the failure location, propagation path, and final defect morphology are described systematically. By comparing the simulated life curve with the RMS (root mean square) trend of the vibration signal collected in an accelerated life degradation test, i.e., XJTU-SY dataset, it can be concluded that the results show reasonable consistency between each other. The fatigue life of the rolling bearing in different loading conditions is further compared, which verifies the model’s capability to depict the full-life-cycle damage evolution and its applicability in more engineering fields.</p>

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Surface Defect Initiation and Evolution Mechanism of the Full-Life-Cycle Rolling Bearing and Its Vibration-Based Verification

  • 期刊论文

  • 发表日期：

    2025年6月24日

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  • Jianyu Zhang,
  • Mingda Shi,
  • Xiaozhong Du

摘要

Surface defects, such as pitting and spalling, are the main failure root for the rolling bearings in many industrial applications. Identifying the defect evolution mechanism is critical for the life prediction of the rolling bearings. A three-dimensional model is established based on the continuum damage mechanics (CDM) theory, and the octahedral shear stress is applied so that the multiaxial fatigue can be evaluated effectively. A partial model is first utilized to analyze the dynamic stress variation behavior, in which the continuous motion process is discretized into a series of static analysis steps. As a result, the stress distribution and damage rate during the damage initiation and propagation period are depicted. Thereafter, the failure location, propagation path, and final defect morphology are described systematically. By comparing the simulated life curve with the RMS (root mean square) trend of the vibration signal collected in an accelerated life degradation test, i.e., XJTU-SY dataset, it can be concluded that the results show reasonable consistency between each other. The fatigue life of the rolling bearing in different loading conditions is further compared, which verifies the model’s capability to depict the full-life-cycle damage evolution and its applicability in more engineering fields.