中国机械工程 ›› 2024, Vol. 35 ›› Issue (03): 394-404.DOI: 10.3969/j.issn.1004-132X.2024.03.002

• 机械基础工程 • 上一篇    下一篇

含Ni量、渗氮层深度及喷丸强化对42CrMo齿轮弯曲疲劳性能影响研究

武忠睿1;陈地发1;吴吉展1;杨玉典2;刘怀举1   

  1. 1.重庆大学高端装备机械传动全国重点实验室,重庆,400044
    2.中国航发中传机械有限公司,长沙,410200
  • 出版日期:2024-03-25 发布日期:2024-04-22
  • 通讯作者: 刘怀举(通信作者),男,1986年生,教授、博士研究生导师。研究方向为高性能机械传动等。E-mail:huaijuliu@cqu.edu.cn。
  • 作者简介:武忠睿,男,1998年生,硕士研究生。研究方向为齿轮抗疲劳设计与基础数据建设。
  • 基金资助:
    国家重点研发计划(2022YFB3402801);重庆市杰出青年科学基金(CSTB2023NSCQ-JQX0016)

Study on Influences of Ni Content, Nitriding Hardening Depth, and Shot Peening on Bending Fatigue Performance of 42CrMo Gears

WU Zhongrui1;CHEN Difa1;WU Jizhan1;YANG Yudian2;LIU Huaiju1   

  1. 1.State Key Laboratory of Mechanical Transmission for Advanced Equipment,
    Chongqing University,Chongqing,400044
    2.AECC Zhongchuan Transmission Machinery Co.,Ltd.,Changsha,410200

  • Online:2024-03-25 Published:2024-04-22

摘要: 针对不同含Ni量、渗氮层深度和喷丸强化组合的42CrMo齿轮开展弯曲疲劳试验,探究了不同工艺组合的齿轮弯曲疲劳极限提升效果,为齿轮抗疲劳制造提供工艺指导。基于随机森林算法分析了不同工艺组合齿轮的表面硬度、渗氮层深度、表面残余应力和含Ni量对弯曲疲劳极限的贡献度,采用多元回归建立了考虑表面硬度、渗氮层深度、表面残余应力和含Ni量的齿轮弯曲疲劳极限预测公式。预测值与试验值相比,最大误差可以控制在7.80%以内,为工程应用中快速、低成本评估齿轮弯曲疲劳极限提供了理论依据。

关键词: 弯曲疲劳, 含镍量, 渗氮层深度, 喷丸, 疲劳极限预测

Abstract:  Single tooth bending fatigue tests were conducted on 42CrMo gears with different combinations of Ni content, nitriding hardening depth, and shot peening. The effectiveness of different process combinations on improving the bending fatigue limit of gears was investigated, providing process guidance for gear fatigue resistance manufacturing. Additionally, the contribution of surface hardness, nitriding hardening depth, surface residual stress, and Ni content to the bending fatigue limit of gears with different process combinations was analyzed using the random forest algorithm. A multiple regression model considering surface hardness, nitriding hardening depth, surface residual stress, and Ni content was established to predict the bending fatigue limit of gears. Comparing the predicted values with experimental values, the maximum error is controlled within 7.80%, providing a theoretical basis for the rapid and low-cost assessment of gear bending fatigue limit in engineering applications.

Key words: bending fatigue, Ni content, nitriding hardening depth, shot peening, fatigue limit prediction

中图分类号: