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非线性超声脉冲反转法在铝合金焊缝疲劳寿命预测中的应用

万楚豪, 刚铁, 刘斌

万楚豪, 刚铁, 刘斌. 非线性超声脉冲反转法在铝合金焊缝疲劳寿命预测中的应用[J]. 焊接学报, 2015, 36(2): 27-30,34.
引用本文: 万楚豪, 刚铁, 刘斌. 非线性超声脉冲反转法在铝合金焊缝疲劳寿命预测中的应用[J]. 焊接学报, 2015, 36(2): 27-30,34.
WAN Chuhao, GANG Tie, LIU Bin. Nonlinear ultrasonic evaluation of fatigue life of aluminum alloy welded joint based on pulse-inversion technique[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(2): 27-30,34.
Citation: WAN Chuhao, GANG Tie, LIU Bin. Nonlinear ultrasonic evaluation of fatigue life of aluminum alloy welded joint based on pulse-inversion technique[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(2): 27-30,34.

非线性超声脉冲反转法在铝合金焊缝疲劳寿命预测中的应用

基金项目: 国家自然科学基金资助项目(51175113);国际合作基金资助项目(2007DFR70070)

Nonlinear ultrasonic evaluation of fatigue life of aluminum alloy welded joint based on pulse-inversion technique

  • 摘要: 以不同疲劳寿命的铝合金焊缝为例研究了疲劳过程中的超声波非线性效应,同时建立了非线性参数与疲劳寿命的关系曲线(S-N曲线).采用脉冲反转法对非线性超声信号进行处理.结果表明,经过脉冲反转法获得的S-N曲线与经过滤波模块获得的S-N曲线相比谐波幅值提高了一倍,所以脉冲反转法可以提高非线性超声检测法表征疲劳损伤程度能力,而S-N曲线在疲劳过程中呈先缓慢增长后快速增长,最后下降的趋势,此趋势对应了材料疲劳的3个阶段,而金相组织验证了曲线的准确性,所以通过非线性超声脉冲反转法来预测疲劳寿命是可行的.
    Abstract: Fatigue is a common phenomenon in welded structures, therefore prediction of fatigue life of welded joints in-service is an on-going and unsolved challenge with conventional linear ultrasonic test method. In this paper, nonlinear ultrasonic distortion effect of the crack during the initiation and propagation process in different fatigue cycles of the aluminum alloy joints was studied and the curve of nonlinear coefficient and fatigue cycles was established simultaneously. The pulse-inversion technique was used for signal processing. The experimental results showed that the harmonic wave amplitude of S-N curves processed by pulse-inversion technique is increased one time compared with that by filtering module. Therefore, the pulse-inversion technique can improve the detection capabilities of nonlinear ultrasonic test technique. Experimental results showed that the S-N curve changes slightly in the fatigue crack initiation stage, then increases rapidly with the increase of fatigue cycles, and it begins to decrease when fatigue crack extends to the macroscopic crack. The experiments of microstructures verify the precision of curve. It can be concluded that the nonlinear ultrasonic technology base on the pulse-inversion can be effectively used to predict the fatigue life of aluminum alloy welded joint.
  • [1] 李向伟,兆文忠,郑成德.基于质量模糊评判模型的焊缝疲劳寿命评估[J].焊接学报, 2010, 31(8):49-52. Li Xiangwei, Zhao Wenzhong, Zheng Chengde. Weld fatigue life assessment based on fuzzy quality evaluation model[J]. Transactions of the China Welding Institution, 2010, 31(8):49-52.
    [2] 刘雪松,李书齐,王苹,等. 6N01-T5铝合金焊接接头疲劳断裂分析[J].焊接学报, 2009, 30(10):25-28. Liu Xuesong, Li Shuqi, Wang Ping, et al. Fatigue failure analysis of 6N01-T5 aluminum alloy welded joints[J]. Transactions of the China Welding Institution, 2009, 30(10):25-28.
    [3] 朱荣华,刚铁.铝合金疲劳裂纹扩展声发射监测[J].焊接学报, 2013, 34(3):29-32. Zhu Ronghua, Gang Tie, Fatigue crack propagation of aluminum alloy based on acoustic emission monitoring[J]. Transactions of the China Welding Institution, 2013, 34(3):29-32.
    [4] Jhang K Y. Applications of nonlinear ultrasonics to the NDE of material degradation[J]. Ieee Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2000, 47(3):540-548.
    [5] Nagy P B. Fatigue damage assessment by nonlinear ultrasonic materials characterization[J]. Ultrasonics, 1998,36(1):375-381.
    [6] Buck O, Morris W L, Richardson J M. Acoustic harmonic generation at unbonded interfaces and fatigue cracks[J]. Applied Physics Letters, 1978, 33(5):371-373.[7] Rothenfusser M, Mayr M, Baumann J. Acoustic nonlinearities in adhesive joints[J]. Ultrasonics, 2000, 38(1):322-326.[8] Hirsekorn S. Nonlinear transfer of ultrasound by adhesive joints-a theoretical description[J]. Ultrasonics, 2001, 39(1):57-68.[9] Wegner A, Koka A, Janser K, et al. Assessment of the adhesion quality of fusion-welded silicon wafers with nonlinear ultrasound[J]. Ultrasonics, 2000, 38(1):316-321.
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出版历程
  • 收稿日期:  2014-10-31

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