基于面面接触结构的高温微动疲劳寿命预测研究

doi:10.3901/JME.2023.18.165

机械工程学报 ›› 2023, Vol. 59 ›› Issue (18): 165-174.doi: 10.3901/JME.2023.18.165

扫码分享

基于面面接触结构的高温微动疲劳寿命预测研究

杨博文, 高强, 王硕, 霍军周

大连理工大学机械工程学院大连 116024

收稿日期:2022-10-08 修回日期:2023-05-16 出版日期:2023-09-20 发布日期:2023-12-07
通讯作者: 霍军周(通信作者),男,1979年出生,博士,教授,博士研究生导师。主要研究方向为软土及硬岩TBM系统设计、性能驱动的机械零部件结构优化设计及测试及复杂机械结构疲劳裂纹扩展及抗损设计。E-mail:huojunzhou@dlut.edu.cn
作者简介:杨博文,女,1992年出生,博士研究生。主要研究方向为重大装备关键结构疲劳寿命预测及智能监测。E-mail:ybw0218@mail.dlut.edu.cn
基金资助:
国家自然科学基金(52275236)和辽宁省“揭榜挂帅”重大科技专项(2022JH1/10400031)资助项目。

Research on High Temperature Fretting Fatigue Life Prediction Based on Surface-to-surface Contact Structure

YANG Bowen, GAO Qiang, WANG Shuo, HUO Junzhou

School of Mechanical Engineering, Dalian University of Technology, Dalian 116024

Received:2022-10-08 Revised:2023-05-16 Online:2023-09-20 Published:2023-12-07

摘要/Abstract

摘要： 航发叶片与轮盘连接处长时小幅相对位移将产生微动疲劳，交变载荷受温度效应对结构造成严重损伤。现有疲劳寿命模型预测未能充分考虑高温对微动疲劳的影响，预测结果与工程实际寿命存在较大差距。因此，需建立一种考虑温度效应微动疲劳寿命预测模型。以航空发动机燕尾榫结构为研究对象，设计高温燕尾榫微动疲劳试验，探讨高温对微动疲劳损伤的影响。基于燕尾榫的高温微动疲劳试验，探究高温对其微动疲劳损伤的影响机制，提出一种考虑温度效应的燕尾榫高温微动疲劳寿命预测模型，并通过试验验证准确性。结果表明：所提模型与试验数据之间具有良好的相关性，证明该模型具有良好的预测精度，其预测误差小于19.24%，预测结果位于±1.5倍分散带内，为航空发动机燕尾榫的结构优化改进与损伤容限设计提供理论依据。

关键词: 温度效应, 微动疲劳, 寿命预测, 燕尾榫

Abstract: The small relative displacement of the connection between the aero-engine blade and the wheel disc for a long time will cause fretting fatigue, and the alternating load will cause serious damage to the structure due to the temperature effect. The existing fatigue life model prediction fails to fully consider the impact of high temperature on fretting fatigue, and there is a large gap between the prediction results and the actual engineering life. Therefore, it is necessary to establish a fretting fatigue life prediction model considering the temperature effect. Taking the structure of the aero-engine dovetail as the research object, the fretting fatigue test of high temperature dovetail tenon is designed, and the influence of high temperature on the fretting fatigue damage is discussed. Based on the high temperature fretting fatigue test of dovetail joints, the influence mechanism of high temperature on its fretting fatigue damage is explored, and a high temperature fretting fatigue life prediction model considering temperature effect is proposed, and the accuracy is verified by experiments. The results show that the proposed model has a good correlation with the experimental data, which proves that the model has good prediction accuracy. Optimization improvement and damage tolerance design provide theoretical basis.

Key words: temperature effect, fretting fatigue, life prediction, dovetail tenon

中图分类号:

TG156

杨博文, 高强, 王硕, 霍军周. 基于面面接触结构的高温微动疲劳寿命预测研究[J]. 机械工程学报, 2023, 59(18): 165-174.

YANG Bowen, GAO Qiang, WANG Shuo, HUO Junzhou. Research on High Temperature Fretting Fatigue Life Prediction Based on Surface-to-surface Contact Structure[J]. Journal of Mechanical Engineering, 2023, 59(18): 165-174.

参考文献

[1] XIE Yuanhong,XIAO Yi,LÜ Jiaxin,et al. Influence of creep on preload relaxation of bolted composite joints:Modeling and numerical simulation[J]. Composite Structures,2020,112332(245):1-15.
[2] HAN Qinan,LEI Xusheng,YANG Hao,et al. Effects of temperature and load on fretting fatigue induced geometrically necessary dislocation distribution in titanium alloy[J]. Materials Science and Engineering A,2021,140308(800):1-15.
[3] BHATTI N A,PEREIRA K,WAHAB M A. A continuum damage mechanics approach for fretting fatigue under out of phase loading[J]. Tribology International,2017,117:39-51.
[4] MARIO L,DANIELE B. Fretting fatigue analysis of additively manufactured blade root made of intermetallic Ti-48Al-2Cr-2Nb alloy at high temperature[J]. Materials,2018,11(7):1052-1060.
[5] HU Chen,WEI Dasheng,WANG Yanrong,et al. Experimental and numerical study of fretting fatigue in dovetail assembly using a total life prediction model[J]. Engineering Fracture Mechanics,2018,205:301-318.
[6] SUN Shouyi,LI Lei,YANG Weizhu,et al. RA-based fretting fatigue life prediction method of Ni-based single crystal superalloys[J]. Tribology International,2019,134:109-117.
[7] BHATTI N A,PEREIRA K,WAHAB M A. Effect of stress gradient and averaging on fretting fatigue crack initiation angle and life[J]. Tribology International,2018,131:212-221.
[8] ARAÚJO J A,CASTRO F C,MATOS I M,et al. Life prediction in multiaxial high cycle fretting fatigue[J]. International Journal of Fatigue,2020,105504(134):1-10.
[9] PINTO A L,ARAÚJO J A,TALEMI R. Effects of fretting wear process on fatigue crack propagation and life assessment[J]. Tribology International,2021,106787(156):1-15.
[10] TENG Zhenjie,WU Haoran,HUANG Zhiyong,et al. Effect of mean stress in very high cycle fretting fatigue of a bearing steel[J]. International Journal of Fatigue,2021,106262(149):1-15.
[11] WALVEKAR A A,SADEGHI F. Rolling contact fatigue of case carburized steels[J]. International Journal of Fatigue,2017,95:264-281.
[12] WANG Jingchen,GAO Yukui. Numerical and experimental investigations on fretting fatigue properties of GH4169 superalloy at the elevated temperature[J]. International Journal of Fatigue,2021,106274(149):1-15.
[13] FEI Shen,KE Liaoliang,ZHOU Kun. A debris layer evolution-based model for predicting both fretting wear and fretting fatigue lifetime[J]. International Journal of Fatigue,2021,105928(142):1-10.
[14] SZUSTA J. Low cycle fatigue of metallic materials under uniaxialloading at elevated temperature[J]. International Journal of Fatigue,2018,114:272-281.
[15] ABBASI F,MAJZOOBI G H. An investigation into the effect of elevated temperatures on fretting fatigue response under cyclic normal contact loading[J]. Theoretical and Applied Fracture Mechanics,2018,93:144-154.
[16] SUN Shouyi,LI Lei,YUE Zhufeng,et al. Fretting fatigue failure behavior of Nickel-based single crystal superalloy dovetail specimen in contact with powder metallurgy pads at high temperature[J]. Tribology International,2019,105986(142):1-13.
[17] HAN Qinan,QIU Wenhui,HE Zhiwu,et al. The effect of crystal orientation on fretting fatigue crack formation in Ni-based single-crystal superalloys:In-situ SEM observation and crystal plasticity finite element simulation[J]. Tribology International,2018,125:209-219.
[18] SU Yue,HAN Qinan,QIU Wenhui,et al. High temperature in-situ SEM observation and crystal plasticity simulation on fretting fatigue of Ni-based single crystal superalloys[J]. International Journal of Plasticity,2020,102645(127):1-15.
[19] MACDONALD B E,FU Z Q,WANG X,et al. Influence of phase decomposition on mechanical behavior of an equiatomic CoCuFeMnNi high entropy alloy[J]. Acta Materialia,2019,181:25-35.
[20] RUIZ C,BODDINGTON P H B,CHEN K C. An investigation of fatigue and fretting in a dovetail joint[J]. Experimental Mechanics,1984,24(3):208-217.
[21] HUO Junzhou,YANG Bowen,REN Rong,et al. Research on fretting fatigue life estimation model considering plastic effect[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering,2022,44(4):1-18.

基于面面接触结构的高温微动疲劳寿命预测研究

Research on High Temperature Fretting Fatigue Life Prediction Based on Surface-to-surface Contact Structure

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	吴吉展, 魏沛堂, 吴少杰, 刘怀举, 朱才朝. 航空齿轮钢滚动接触疲劳性能预测与表面完整性优化[J]. 机械工程学报, 2024, 60(8): 81-93.
[2]	张军辉, 刘施镐, 徐兵, 黄伟迪, 吕飞, 黄晓琛. 轴向柱塞泵智能化关键技术研究进展及发展趋势[J]. 机械工程学报, 2024, 60(4): 32-49.
[3]	纪佳馨, 彭程, 项冲, 黄乐, 郭飞. 考虑变速条件的斯特封磨损寿命预测方法[J]. 机械工程学报, 2024, 60(3): 191-202.
[4]	张伟, 李如俊, 葛士涛, 彭艳. 基于内禀耗散理论的高周疲劳双尺度伤演分析[J]. 机械工程学报, 2024, 60(20): 120-133.
[5]	刘小峰, 张天瑀, 韦代平, 柏林, 陈兵奎. 复合材料基体裂纹损伤演化的自适应粒子滤波预测[J]. 机械工程学报, 2024, 60(18): 32-42.
[6]	陈健, 孟义兴, 袁慎芳, 徐秋慧, 王卉. 融合导波监测的搭接结构裂纹扩展寿命孪生预测[J]. 机械工程学报, 2024, 60(16): 34-42.
[7]	赵雷, 张利宾, 宋恺, 徐连勇, 韩永典, 郝康达. 新型马氏体耐热钢耦合控制下蠕变-疲劳循环变形研究[J]. 机械工程学报, 2024, 60(16): 118-129.
[8]	朱挺, 陈兆祥, 周笛, 陈震, 胡兵, 潘尔顺. 基于Bayesian-LSTM神经网络的热轧轧辊剩余寿命预测及不确定性评估[J]. 机械工程学报, 2024, 60(11): 181-190.
[9]	何海风, 刘怀举, 朱才朝, 李高萌, 陈地发. 残余应力对齿轮弯曲疲劳的量化影响研究[J]. 机械工程学报, 2023, 59(4): 53-61.
[10]	刘志状, 吴昊. 一种基于参数影响的数据驱动下的疲劳寿命预测方法[J]. 机械工程学报, 2023, 59(4): 71-79.
[11]	王宇, 刘秋发, 彭一真. 非均匀监测条件下滚动轴承剩余寿命预测方法[J]. 机械工程学报, 2023, 59(23): 96-104.
[12]	喻健, 缑百勇, 陈桂勇, 张腾, 马斌麟, 樊祥洪, 陈鑫, 王逸韬. 胶铆混合修理结构疲劳裂纹扩展性能分析[J]. 机械工程学报, 2023, 59(22): 352-368.
[13]	沈天浩, 丁康, 黎杰, 黄如意, 李巍华. 图结构联合时序数据驱动的装备剩余使用寿命预测方法[J]. 机械工程学报, 2023, 59(12): 183-194.
[14]	杨超颖, 刘颉, 周凯波. 基于路图注意力网络的轴承剩余寿命预测方法[J]. 机械工程学报, 2023, 59(12): 195-201.
[15]	郑战光, 覃里杜, 谢昌吉, 潘淑琴, 孙腾. 晶体塑性疲劳指示因子研究方法综述[J]. 机械工程学报, 2022, 58(8): 105-116.