Fatigue life prediction of composite suspension considering residual stress and crack propagation

被引:11
|
作者
Wang, Shuci [1 ]
Liu, Xintian [1 ]
Huang, Bixiong [1 ]
Liao, Haiyu [1 ]
机构
[1] Shanghai Univ Engn Sci, Sch Mech & Automot Engn, Longteng Rd 333, Shanghai 201620, Peoples R China
关键词
Composite; adhesive bonding; fatigue crack propagation; residual stress; mechanical property; ADHESIVELY-BONDED JOINTS; FRACTURE-TOUGHNESS; GROWTH; BEHAVIOR; CORROSION; METAL; MODEL;
D O I
10.1177/09544070221091683
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Composite materials are widely used in the automobile industry, compared with traditional mechanical connection, in terms of efficiency and manufacture cost structure, adhesively-bonded joints are usually the material most appropriate connection technology. Adhesively-bonded joints have good performance under fatigue load and the stress concentration is smaller. Lack of reliable design methods, long-term aging behavior, and fatigue life assessment of the adhesive joint, which are limits the bonded joints technology popularization and application. In order to describe the crack propagation process more accurately, an improved generalized crack propagation model was proposed to predict the fatigue life of composite bonded parts. The crack propagation process is divided into three stages, and the influence of machining technology, residual stress, and actual temperature in the process of machining are considered. The model provides an effective theoretical basis for accurately predicting the residual life of composite bonded structures. Experimental and simulation results show that the proposed model expands the prediction range of the existing theoretical model, and the prediction accuracy is significantly improved.
引用
收藏
页码:1299 / 1312
页数:14
相关论文
共 50 条
  • [1] Random fatigue life prediction of composite components for double-wishbone suspension considering an improved crack propagation model
    Zhang, Xiaoying
    Liu, Xintian
    Wang, Shuci
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2023,
  • [2] Fatigue life prediction analysis of automobile suspension system bracket considering residual stress due to thermal stress
    Kim, Kee Joo
    Lee, Jae-Woong
    Park, Jun-Hyub
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2024, 38 (06) : 3047 - 3051
  • [3] The influence of crack face contact on the prediction of fatigue crack propagation in residual stress fields
    Schnubel, D.
    Huber, N.
    [J]. ENGINEERING FRACTURE MECHANICS, 2012, 84 : 15 - 24
  • [4] PREDICTION OF FATIGUE CRACK-PROPAGATION CURVE CONSIDERING EFFECT OF MEAN STRESS
    HASEGAWA, M
    KAWADA, Y
    [J]. BULLETIN OF THE JSME-JAPAN SOCIETY OF MECHANICAL ENGINEERS, 1975, 18 (117): : 215 - 222
  • [5] Analysis of the retardation in fatigue crack propagation considering the redistribution of residual stress induced by overload
    Jo, Young Chun
    Bang, Jun Kee
    Song, Ha Cheol
    Jang, Chang Doo
    [J]. PROCEEDINGS OF THE SEVENTEENTH (2007) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 1- 4, PROCEEDINGS, 2007, : 3452 - +
  • [6] Fatigue life prediction of eccentric springs for the automobiles considering residual stress
    Shi, Xiaowen
    Liu, Xintian
    Zhu, Mengyu
    [J]. FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2023, 46 (07) : 2424 - 2438
  • [7] A new model for the fatigue life prediction considering residual stress relaxation
    Lee, TK
    Nam, YY
    Han, SH
    Shin, BC
    [J]. PROCEEDINGS OF THE TWELFTH (2002) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 4, 2002, : 214 - 219
  • [8] Effect of Compressive Residual Stress on Fatigue Crack Propagation
    Morikage, Y.
    Igi, S.
    Oi, K.
    Jo, Y.
    Murakami, K.
    Gotoh, K.
    [J]. PRESSURE VESSEL TECHNOLOGY: PREPARING FOR THE FUTURE, 2015, 130 : 1057 - 1065
  • [9] Fatigue life prediction model of metallic materials considering crack propagation and closure effect
    Que Wu
    Xintian Liu
    Zhiqiang Liang
    Yansong Wang
    Xiaolan Wang
    [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020, 42
  • [10] Fatigue life prediction model of metallic materials considering crack propagation and closure effect
    Wu, Que
    Liu, Xintian
    Liang, Zhiqiang
    Wang, Yansong
    Wang, Xiaolan
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2020, 42 (08)