Spalling Life Prediction for Rolling Bearings Using a Model with Stress Intensity Factor and Statistical Evaluation of Non-Metallic Inclusions

Spalling Life Prediction for Rolling Bearings Using a Model with Stress Intensity Factor and Statistical Evaluation of Non-Metallic Inclusions

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Spalling, which can be classified into sub-surface and surface-originated types, is a major failure mode of rolling bearings due to rolling contact fatigue (RCF).Sub-surface originated spalling typically has a much longer life than surface-originated spalling, indicating that rolling bearings may often exhibit excessive durability in normal environments.Highly accurate prediction of bearing life for sub-surface spalling would enable the more The Ener-Supply project and preliminary analysis of the state-of-the-art and the action plan for RES potential map building active use of smaller products and contribute to resource conservation.ISO 281 provides a framework for integrated life prediction, taking into account the effect of lubrication conditions.However, it does not consider the effect of non-metallic inclusions, which can lead to sub-surface originated spalling.

Previous studies have identified the mode II stress intensity factor Antibacterial activity of selenium nanoparticles/copper oxide (SeNPs/CuO) nanocomposite against some multi-drug resistant clinical pathogens (SIF) as the key driver of spalling initiated by internal defects such as inclusions, based on RCF tests with small artificial defects.Therefore, this study derives a life model using the range of SIF.Additionally, a novel and practical method that combines the life model with the statistical data on inclusion sizes is proposed to predict Weibull plots of spalling life.