考虑残余应力和硬度影响的齿轮弯曲疲劳寿命预估  

Forecast of bending fatigue life for gears considering the influence of residual stress and hardness

作　　者：赵鹏博 陈勇 尤晖 周兴云 李光鑫 武一民[1] 刘祥环[4] ZHAO Pengbo;CHEN Yong;YOU Hui;ZHOU Xingyun;LI Guangxin;WU Yimin;LIU Xianghuan(Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles,Hebei University of Technology,Tianjin 300401,China;School of Mechanical Engineering,Guangxi University,Nanning 530004,China;Zhejiang Yili Auto Parts Co.,Ltd.,Yiwu 322000,China;Zhuzhou Gear Co.,Ltd.,Zhuzhou 412000,China)

机构地区：[1]河北工业大学天津市新能源汽车动力传动与安全技术重点实验室,天津300401 [2]广西大学机械工程学院,南宁530004 [3]浙江义利汽车零部件有限公司,义乌322000 [4]株洲齿轮有限责任公司,株洲412000

出　　处：《机械强度》2025年第2期53-60,共8页Journal of Mechanical Strength

基　　金：国家重点研发计划(2018YFE0207000);河北省全职引进高端人才项目(20181228)。

摘　　要：为研究残余应力和硬度对齿轮弯曲疲劳性能的影响,以渗碳热处理20MnCrS5钢制齿轮为研究对象,进行复合小径喷丸强化处理,进而实现同一材料的齿轮具有不同硬度和残余应力状态。以最大主应变准则为基础,分别引入残余应力影响项以及残余应力-硬度耦合影响项建立疲劳寿命预测模型。通过喷丸齿轮弯曲疲劳试验确定最优残余应力影响系数和修正系数,对比两种模型的寿命预测精度;通过未喷丸齿轮弯曲疲劳试验验证模型的准确性。结果表明,当单一考虑残余应力影响时,残余应力影响系数最优值为0.09,模型可实现较高的寿命预测精度。同时考虑残余应力和硬度影响,修正系数最优值为0.04,模型具有更高的预测精度。In order to study the influence of residual stress and hardness on bending fatigue performance of gear,the 20MnCrS5 steel gear with carburizing heat treatment was taken as the research object,and composite small diameter shot peening strengthening treatment was carried out to realize the gear with different hardness and residual stress states of the same material.Based on the maximum principal strain criterion,incorporating separate factors for residual stress influence and residual stress-hardness coupling influence were introduced respectively to establish the fatigue life prediction model.Through shot-peened gear bending fatigue tests,optimal values for both the residual stress influence coefficient and correction coefficient were determined.The two models’accuracy for life prediction was contrasted,and the accuracy of these models was further verified through unshot peened gear bending fatigue test.The results show that considering only residual stress influence yielded an optimal value of 0.09 for the residual stress influence coefficient,the model achieving high life predictive accuracy.Whereas considering the effects of residual stresses and hardness,it requires a correction coefficient with an optimal value of 0.04,the model achieve even higher predictive accuracy.

关 键 词：20MnCrS5渗碳齿轮 弯曲疲劳 复合小径喷丸 寿命预估 最大主应变准则 

分 类 号：TG174.44[金属学及工艺—金属表面处理]