Quantitative detection and evaluation of Rayleigh ultrasonic wave for fatigue crack on turbine blade surface

被引:4
|
作者
Meng, Jiajian [1 ]
Zhen, Yu [2 ]
Zhang, Kaisheng [3 ]
Zhang, Jianhai [1 ]
Zhao, Hongwei [1 ]
Li, Junrong [1 ]
机构
[1] Jilin Univ, Sch Mech & Aerosp Engn, Changchun 130022, Peoples R China
[2] China FAW Grp Corp, Changchun 130000, Peoples R China
[3] Harbin Dege Biotechnol Co Ltd, Harbin 150000, Peoples R China
基金
中国国家自然科学基金;
关键词
Rayleigh ultrasonic wave; Turbine blades; Normalized amplitude; Micro-cracks;
D O I
10.1016/j.apacoust.2023.109558
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, different characteristics of micro-cracks on the surface of turbine blades have been successfully evaluated based on the detection of Rayleigh ultrasonic wave by numerical simulation and experimental study. The quantitative relationship between the maximum amplitude of Rayleigh ultrasonic wave and the features of cracks including width, depth, excitation position, and inclination angle was established. Numerical calculations of different curvature models show that curvature has no significant effect on the propagation of Rayleigh ultrasonic wave. According to the developed multi-functional ultrasonic equipment, cracks on complex surfaces can be detected by clamping two probes on the arc guide rail. The experimental results verify the validity of the numerical simulations. It gives an excellent basis for the effective automatic detection of cracks on the surface of turbine blades. This research provides a suitable method and new equipment for rapid quantitative inspection of turbine blades.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Turbine blade fatigue crack growth
    Salzman, RN
    Rieger, NF
    Wang, LT
    PROCEEDINGS OF 2004 ASME POWER, 2004, : 333 - 339
  • [2] Crack growth prediction and fatigue damage evaluation on wind turbine blade
    Architectural and Engineering Institute, Shenyang University of Technology, Shenyang
    110870, China
    不详
    110870, China
    不详
    361023, China
    Taiyangneng Xuebao, 1 (41-48): : 41 - 48
  • [3] Fatigue crack detection performance comparison in a composite wind turbine rotor blade
    Taylor, Stuart G.
    Park, Gyuhae
    Farinholt, Kevin M.
    Todd, Michael D.
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2013, 12 (03): : 252 - 262
  • [4] Nonlinear ultrasonic wave modulation for online fatigue crack detection
    Sohn, Hoon
    Lim, Hyung Jin
    DeSimio, Martin P.
    Brown, Kevin
    Derriso, Mark
    JOURNAL OF SOUND AND VIBRATION, 2014, 333 (05) : 1473 - 1484
  • [5] Detection of surface breaking fatigue crack on a complex aircraft structure with Rayleigh surface waves
    Na, Jeong K.
    Blackshire, James L.
    Kuhr, Samule J.
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2009, 2009, 7295
  • [6] Detection mechanism of delamination in thermal barrier coatings of turbine blade using a Rayleigh wave EMAT
    Zhang, Yuange
    Pei, Cuixiang
    Deng, Jie
    Liu, Tianhao
    Chen, Hong-En
    Chen, Zhenmao
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2024, 74 (04) : 405 - 413
  • [7] Fatigue crack initiation and vibration prediction life of turbine blade
    Lecheb, S.
    Djedid, T.
    Chellil, A.
    Nour, A.
    Cherigui, M.
    Kebir, H.
    2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO), 2013,
  • [8] ATTENUATION OF ULTRASONIC RAYLEIGH-WAVES BY A GROWING FATIGUE CRACK
    LOHANICK, AW
    LIPSCHUL.FP
    IEEE TRANSACTIONS ON SONICS AND ULTRASONICS, 1974, SU21 (01): : 86 - 86
  • [9] Fatigue crack detection in metallic members using ultrasonic Rayleigh waves with time and frequency analyses
    Halabe, UB
    Franklin, R
    MATERIALS EVALUATION, 2001, 59 (03) : 424 - 431
  • [10] RAYLEIGH-WAVE INTERACTIONS WITH A GROWING FATIGUE CRACK
    LOHANICK, AW
    LIPSCHUL.FP
    BULLETIN OF THE AMERICAN PHYSICAL SOCIETY, 1973, 18 (01): : 95 - 95