考虑预裂纹的滚动轴承疲劳寿命预测

Fatigue life prediction of rolling bearings considering pre-cracks

为了分析裂纹对轴承疲劳寿命的影响,提高对轴承疲劳寿命预测的准确性,以行星轮系太阳轮轴传动端深沟球轴承为研究对象,针对4种不同挡位工况进行了裂纹分析,研究探讨了轴承裂纹对轴承疲劳寿命的影响。首先,对不考虑裂纹的轴承疲劳寿命进行了仿真分析,考虑了预裂纹对轴承疲劳寿命的影响,对疲劳寿命结果进行了对比;然后,分析了轴承在已产生裂纹状态下的剩余疲劳寿命;最后,采用轴承疲劳寿命试验机,对轴承裂纹分析进行了疲劳寿命试验验证,并将轴承疲劳寿命试验结果和仿真结果进行了对比分析。研究结果表明:预裂纹的引入会导致轴承变形量大幅度增加,寿命下降率最高可达48%;如果在微裂纹已经产生时继续使用轴承,HM1挡位剩余疲劳寿命占比最小,为0.059%;预裂纹的引入使轴承疲劳寿命的仿真预测与实际寿命最小误差仅为5.9%;裂纹会对轴承的疲劳寿命产生较大影响,预裂纹的引入可使疲劳寿命的仿真预测更接近实际,提高轴承疲劳寿命预测的准确性。

In order to analyze the effect of cracks on bearing fatigue life and improve the accuracy of fatigue life prediction,taking the deep groove ball bearing at the transmission end of the planetary gear system and the sun gear shaft as the research object,the crack analysis of the bearing was carried out according to four different gear conditions to discuss the influence of bearing crack on the bearing fatigue life.Firstly,the fatigue life of the bearing without considering the crack was analyzed,the influence of pre-crack on bearing fatigue life was considered,and the bearing fatigue life results were compared.Then,the remaining fatigue life of the bearing in the cracked state was analyzed.Finally,fatigue life test was carried out for bearing crack analysis by using bearing fatigue life testing machine.The bearing fatigue life test results and simulation results were compared and analyzed.The results show that the introduction of pre-cracks leads to a significant increase in the deformation of the bearing,and the life-span decline rate is as high as 48%;if the bearing continues to be used when micro-cracks have occurred,the proportion of residual fatigue life of the HM1 gear is the smallest,which is 0.059%.The introduction of pre-crack makes the simulation prediction of bearing fatigue life closer to reality life,and the minimum error is only 5.9%;cracks can reduce the fatigue life of bearings,and the introduction of pre-cracks can make the simulation prediction of fatigue life closer to the reality,and improve the accuracy of bearing fatigue life prediction.