Fatigue Life Prediction Model of Cylindrical Gears Based on the Energy Accumulation Curve

Liu Shicong; Yang Jianwei; Li Xin; Gao Xiang

doi:10.16578/j.issn.1004.2539.2023.08.013

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Fatigue Life Prediction Model of Cylindrical Gears Based on the Energy Accumulation Curve

Test·Analysis | 更新时间：2023-08-22

- Fatigue Life Prediction Model of Cylindrical Gears Based on the Energy Accumulation Curve
- Journal of Mechanical Transmission Vol. 47, Issue 8, Pages: 97-103(2023)
- 作者机构：
  
  北京建筑大学机电与车辆工程学院，北京 100044
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2023.08.013
  CLC：
- Published：15 August 2023，
  
  Received：06 June 2022，
  
  Revised：23 September 2022，
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刘诗骢,杨建伟,李欣等.基于能量累计曲线的圆柱齿轮疲劳寿命预测模型[J].机械传动,2023,47(08):97-103.

Liu Shicong,Yang Jianwei,Li Xin,et al.Fatigue Life Prediction Model of Cylindrical Gears Based on the Energy Accumulation Curve[J].Journal of Mechanical Transmission,2023,47(08):97-103.
刘诗骢,杨建伟,李欣等.基于能量累计曲线的圆柱齿轮疲劳寿命预测模型[J].机械传动,2023,47(08):97-103. DOI： 10.16578/j.issn.1004.2539.2023.08.013.

Liu Shicong,Yang Jianwei,Li Xin,et al.Fatigue Life Prediction Model of Cylindrical Gears Based on the Energy Accumulation Curve[J].Journal of Mechanical Transmission,2023,47(08):97-103. DOI： 10.16578/j.issn.1004.2539.2023.08.013.

摘要

圆柱齿轮应用广泛，建立适用范围广、便于计算的圆柱齿轮弯曲疲劳寿命预测模型有重大意义。通过齿轮弯曲疲劳试验结合有限元模型仿真结果，计算得到了不同应力幅值下齿根处能量累计曲线；在能量累计曲线的基础上，得到不同应力幅值下的断裂累计能曲线。基于Palmgren-Miner线性累积损伤理论和以上曲线，提出了一种圆柱齿轮弯曲疲劳寿命预测模型。采用该模型分析了不同应力幅值下的圆柱齿轮弯曲疲劳试验结果，均处于模型预测结果3倍范围内，证明该模型可以较为准确地预测圆柱齿轮弯曲疲劳寿命。

Abstract

It is of great significance to establish a cylindrical gear bending fatigue life prediction model with a wide range of applications and easy calculation. Through the gear bending fatigue test combined with the simulation results of the finite element model

the energy accumulation curve at the root of the tooth under different stress amplitudes is calculated. On the basis of the energy accumulation curve

the fracture cumulative energy curve under different stress amplitudes is obtained

and a cylindrical gear bending fatigue life prediction model is proposed based on the Palmgren-Miner linear cumulative damage theory and the above curve. Combined with the test results of gear bending fatigue tests under different stress amplitudes

the test results are all within the ± 3 life factor scatter bands

which proves that the model can accurately predict the gear bending fatigue life.

关键词

圆柱齿轮能量累计疲劳寿命预测疲劳试验有限元分析

Keywords

Cylindrical gearEnergy accumulationFatigue life predictionFatigue testFinite element analysis

references

薛齐文，许旭，王生武.基于疲劳驱动力能量损伤参数修正的非线性疲劳寿命预测［J］.中国铁道科学，2020，41（2）：99-105.

XUE Qiwen，XU Xu，WANG Shengwu.Nonlinear fatigue life prediction based on energy damage parameter correction of fatigue driving force［J］.China Railway Science，2020，41（2）：99-105.

李铭，谢里阳，张宇，等.齿轮的概率寿命预测与弯曲疲劳试验［J］.机械工程学报，2017，53（18）：169-175.

LI Ming，XIE Liyang，ZHANG Yu，et al.Probabilistic life prediction and bending fatigue test of gears［J］.Journal of Mechanical Engineering，2017，53（18）：169-175.

林小燕，魏静，赖育彬，等.齿轮的剩余强度模型及其动态可靠度［J］.哈尔滨工程大学学报，2017，38（9）：1476-1483.

LIN Xiaoyan，WEI Jing，LAI Yubin，et al.Residual strength model of gear and its dynamic reliability［J］.Journal of Harbin Engineering University，2017，38（9）：1476-1483.

高振奎，秦晓宇，马晓红，等.550 kV断路器用密封杆疲劳分析及试验研究［J］.机电工程，2018，35（2）：158-161.

GAO Zhenkui，QIN Xiaoyu，MA Xiaohong，et al.Fatigue analysis and experimental study of sealing rod for 550 kV circuit breaker［J］.Journal of Mechanical & Electrical Engineering，2018，35（2）：158-161.

刘永平.考虑损伤缺陷的颚式破碎机齿轮传动寿命预测方法［J］.机械设计与制造工程，2021，50（1）：63-67.

LIU Yongping.Life prediction method of jaw crusher gear transmission considering damage defects［J］.Machine Design and Manufacturing Engineering，2021，50（1）：63-67.

张眸青，方实年，蒲春雷，等.基于疲劳试验与数值分析方法的齿根裂纹扩展规律及寿命预测研究［J］.机械传动，2022，46（2）：1-6.

ZHANG Mouqing，FANG Shinian，PU Chunlei，et al.Research on tooth root crack propagation law and life prediction based on fatigue test and numerical analysis method［J］.Journal of Mechanical Transmission，2022，46（2）：1-6.

LIN Y，LIU S，ZHAO X，et al.Fatigue life prediction of engaging spur gears using power density［J］.Proceedings of the Institution of Mechanical Engineers，Part C：Journal of Mechanical Engineering Science，2018，232（23）：4332-4341.

HE H F，LIU H J，ZHU C C，et al.Study on the gear fatigue behavior considering the effect of residual stress based on the continuum damage approach［J］.Engineering Failure Analysis，2019，104：531-544.

SHEN H，LI Z，QI L，et al.A method for gear fatigue life prediction considering the internal flow field of the gear pump［J］.Mechanical Systems & Signal Processing，2018，99（15）：921-929.

PATIL V，CHOUHAN V，PANDYA Y.Geometrical complexity and crack trajectory based fatigue life prediction for a spur gear having tooth root crack［J］.Engineering Failure Analysis，2019，105（C）：444-465.

ČULAR I，VUCKOVIC K，ŽEZELJ D，et al.Analytical approach for low and high cycle bending fatigue life prediction of carburized gear steel specimens［J］.Engineering Failure Analysis，2020，108（C）：104328.

VUCKOVIC K，ČULAR I，MASOVIC R，et al.Numerical model for bending fatigue life estimation of carburized spur gears with consideration of the adjacent tooth effect［J］.International Journal of Fatigue，2021，153：106515.

王明旭，李永祥，秦超，等.A35CrNiMo感应淬火齿轮弯曲疲劳强度试验［J］.机械设计与研究，2018，34（6）：66-69.

WANG Mingxu，LI Yongxiang，QIN Chao，et al.Bending fatigue strength test of A35CrNiMo induction hardened gear［J］.Machine Design & Research，2018，34（6）：66-69.

吕中和，杨建伟.地铁列车减速器直齿轮弯曲疲劳有限元分析与试验［J］.科学技术与工程，2017，17（8）：165-170.

LÜ Zhonghe，YANG Jianwei.Finite element analysis and test of bending fatigue of spur gears of subway train reducer［J］.Science Technology and Engineering，2017，17（8）：165-170.

熊中杰.随机风速下风力发电机组齿轮箱疲劳断裂寿命研究［D］.南京：南京理工大学，2019：48-61.

XIONG Zhongjie.Fatigue fracture life of wind turbine gearbox under random wind speed［D］.Nanjing：Nanjing University of Science & Technology，2019：48-61.

吕中和.地铁车辆齿轮箱传动齿轮弯曲疲劳寿命研究［D］.北京：北京建筑大学，2018：15-37.

LÜ Zhonghe.Research on bending fatigue life of transmission gears of subway vehicle gearboxes［D］.Beijing：Beijing University of Civil Engineering and Architecture，2018：15-37.

高翔，杨建伟，李欣，等.两级载荷作用下城轨列车传动齿轮弯曲疲劳寿命预测［J］.机械科学与技术，2022，41（11）：1765-1772.

GAO Xiang，YANG Jianwei，LI Xin，et al.Bending fatigue life prediction of urban rail train transmission gears under two-level loads［J］.Mechanical Science and Technology for Aerospace Engineering，2022，41（11）：1765-1772.

ONTIVEROS V，AMIRI M，KAHIRDEH A，et al.Thermodynamic entropy generation in the course of the fatigue crack initiation［J］.Fatigue & Fracture of Engineering Materials & Structures，2017，40（3）：423-434.

CALLOCH S，DOUDARD C，CUGY P，et al.A probabilistic two-scale model for high-cycle fatigue life predictions［J］.Fatigue & Fracture of Engineering Materials and Structures，2005，28（3）：279-288.

LEI D，ZHANG P，HE J，et al.Fatigue life prediction method of concrete based on energy dissipation［J］.Construction and Building Materials，2017，145：419-425.

SEGHIR R，BODELOT L，CHARKALUK E，et al.Numerical and experimental estimation of thermomechanical fields heterogeneity at the grain scale of 316I stainless steel［J］.Computational Materials Science，2011，53（1）：464-473.

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