Fatigue behavior and life prediction of A7N01 aluminium alloy welded joint

被引：16
|
作者：
Liu Xue-song [1 ]
Zhang Liang [1 ]
Wang Lin-sen [1 ,2 ]
Wu Shuang-hui [1 ]
Fang Hong-yuan [1 ]
机构：
[1] Harbin Inst Technol, State Key Lab Adv Welding & Joining, Harbin 150001, Peoples R China
[2] Dongfang Boiler Grp Co Ltd, Welding Proc Sect, Zigong 643001, Peoples R China
来源：
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA | 2012年 / 22卷 / 12期
关键词：
aluminium alloy; A7N01 aluminum alloy; welded joint; crack initiation; fatigue; fatigue life; life prediction; CRACK GROWTH-BEHAVIOR; ZN-MG ALLOY; MECHANICAL-PROPERTIES; AGING TREATMENT;
D O I：
10.1016/S1003-6326(11)61552-5
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
Fatigue characteristics of A7N01 aluminium alloy welded joint were investigated and a fatigue crack initiation life-based model was proposed. The difference of fatigue crack initiation life among base metal, weld metal and heat affected zone (HAZ) is slight. Furthermore, the ratio of fatigue crack initiation life (N-i) to fatigue life to failure(N-f) is a material dependent parameter, 26.32%, 40.21% and 60.67% for base metal, HAZ and weld metal, respectively. Total fatigue life predicted using the presented model is in good agreement with the experimental data and that using Basquin's model. The observation results of fatigue fracture surfaces, using scanning electron microscope (SEM), demonstrate that fatigue crack initiates from smooth surface due to welding process for weld metal, blowhole in HAZ causes fatigue crack initiation, and the crushed second phase particles play an important part in fatigue crack initiation in base metal.
引用
收藏
页码：2930 / 2936
页数：7
相关论文
共 50 条
  • [21] Research on Salt Fog Corrosion Behavior of Welded Joint of 7N01-T4 Aluminum Alloy for High-speed Train
    Wang, Xiaomin
    Zhao, Junjing
    Gou, Guoqing
    ADVANCED MATERIALS, PTS 1-4, 2011, 239-242 : 2822 - +
  • [22] Precipitation kinetics and structure of η precipitates in 7N01 aluminium alloy
    Zhang, Kang
    Wu, Yu
    Zhang, P. J.
    Ma, P. Z.
    Chen, J. Q.
    Chen, Hui
    MATERIALS SCIENCE AND TECHNOLOGY, 2019, 35 (02) : 173 - 180
  • [23] Fatigue life prediction of gas metal arc welded crucifrom joints of AA7075 aluminium alloy failing from root region
    Ravindra, B.
    Kumar, T. Senthil
    Balasubramanian, V.
    TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2011, 21 (06) : 1210 - 1217
  • [24] Stress corrosion behavior of friction stir welding joint of 7N01 aluminum alloy
    Pan, Yuzhe
    Wang, Yu
    Guo, Fuqiang
    Zhang, Tiehao
    Matsuda, Kenji
    Wu, Dongting
    Zhang, Yongang
    Zou, Yong
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2021, 15 (15): : 1130 - 1144
  • [25] Microstructure and fatigue damage mechanism of 6082-T6 aluminium alloy welded joint
    Zhu, Minqi
    Yang, Shanglei
    Bai, Yishan
    Fan, Cong
    MATERIALS RESEARCH EXPRESS, 2021, 8 (05)
  • [26] Residual Stress Evaluation and Fatigue Life Prediction in the Welded Joint by X-ray Diffraction
    Yoo, Keun Bong
    Hwang, Kwon Tae
    Chang, Jung Chel
    Kim, Jae Hoon
    SECOND INTERNATIONAL CONFERENCE ON SMART MATERIALS AND NANOTECHNOLOGY IN ENGINEERING, 2009, 7493
  • [27] A comparative study on mechanical performance of traditional and magnetically assisted resistance spot welds of A7N01 aluminum alloy
    Qi, Lin
    Zhang, Qingxin
    Ma, Yunwu
    Xu, Ye
    Han, Xiaohui
    Li, Yongbing
    JOURNAL OF MANUFACTURING PROCESSES, 2021, 66 : 133 - 144
  • [28] Experiments and Modeling of Fatigue Behavior of Friction Stir Welded Aluminum Lithium Alloy
    Cisko, Abby R.
    Jordon, James B.
    Avery, Dustin Z.
    Liu, Tian
    Brewer, Luke N.
    Allison, Paul G.
    Carino, Ricolindo L.
    Hammi, Youssef
    Rushing, Timothy W.
    Garcia, Lyan
    METALS, 2019, 9 (03):
  • [29] Numerical predictions of the fatigue life of aluminium welded joints
    Livieri, Paolo
    Tovo, Roberto
    1ST MEDITERRANEAN CONFERENCE ON FRACTURE AND STRUCTURAL INTEGRITY (MEDFRACT1), 2020, 26 : 46 - 52
  • [30] The Fatigue Life Prediction of Aluminium Alloy using Genetic Algorithm and Neural Network
    Susmikanti, Mike
    PADJADJARAN INTERNATIONAL PHYSICS SYMPOSIUM 2013 (PIPS-2013): CONTRIBUTION OF PHYSICS ON ENVIRONMENTAL AND ENERGY CONSERVATIONS, 2013, 1554 : 174 - 177
12345