Quantitative research on defect of curved components with immersion ultrasonic testing

被引:0
|
作者
Hu, Hongwei [1 ,2 ]
Peng, Lingxing [2 ]
Zhou, Zhenggan [1 ]
Li, Xiongbing [3 ]
Sun, Guangkai [1 ]
机构
[1] School of Mechanical Engineering and Automation, Beihang University, Beijing,100191, China
[2] College of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha,410114, China
[3] CAD/CAM Institute, Central South University, Changsha,410075, China
关键词
Ultrasonic waves - Forecasting - Gaussian beams - Ultrasonic measurement;
D O I
10.7527/S1000-6893.2014.0028
中图分类号
学科分类号
摘要
With the influence of curved surface, ultrasonic beam scattering and focusing will be enhanced during the propagation in curved components. So the acoustic energy is strengthened or weakened, resulting in difficulties of defect quantification. To overcome the disadvantage of high cost and low adaptability of traditional methods such as reference block, a defect quantification method based on ultrasonic measurement model for curved components with immersion ultrasonic testing is studied. Based on multi-Gaussian ultrasonic beam models and defect scattering models under the way of pulse excitation, an immersion ultrasonic measurement model for curved components is proposed. The model is verified by measuring the defect echo waves of a convex specimen and a concave specimen. Taking a flat bottom hole as an example, the defect quantification characterizing curves are established based on the ultrasonic measurement model. The characteristics of ultrasonic beam scattering and focusing in curved components are studied by simulation. Moreover, the relations between the relative defect wave amplitude and the curvature, as well as the defect depth and the defect quantification are analyzed. Therefore, the defects can be quantified by predicting the relative defect wave amplitude. As an example of the application, a steel curved component is studied during its immersion ultrasonic inspection, and the comparisons of the model predictions with experimental results show that the prediction deviation of the relative defect wave amplitudes is less than 1.2 dB, and the quantization error of the defect quantification is not more than 8.7%. So the proposed method is feasible, which can be conveniently and effectively applied to curved components with immersion ultrasonic testing. ©, 2014, Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica. All right reserved.
引用
收藏
页码:3166 / 3173
相关论文
共 50 条
  • [41] QUANTITATIVE STUDIES IN ULTRASONIC WAVE-DEFECT INTERACTION
    GEORGIOU, GA
    BOND, LJ
    ULTRASONICS, 1987, 25 (06) : 328 - 334
  • [42] Ultrasonic full-matrix imaging of curved-surface components
    Ji, Kaipeng
    Zhao, Peng
    Zhuo, Chaojie
    Chen, Jian
    Wang, Xianghong
    Gao, Shiquan
    Fu, Jianzhong
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 181
  • [43] Sensitivity compensation method in ultrasonic inspection for curved components with variable thickness
    Zhou, X.-J. (cmeesky@163.com), 1600, Zhejiang University (47):
  • [44] EVALUATION OF ULTRASONIC DISSIMILAR BONDS BY ULTRASONIC TESTING IMMERSION METHOD C-SCOPE MODE
    Abdel-Aleem, H.
    Khodir, S. A.
    M2D2015: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MECHANICS AND MATERIALS IN DESIGN, 2015, : 1861 - 1874
  • [45] Robotic Ultrasonic Measurement of Residual Stress in Complex Curved Surface Components
    Pan, Qinxue
    Shao, Chang
    Xiao, Dingguo
    Pan, Ruipeng
    Liu, Xiaohao
    Song, Wei
    APPLIED BIONICS AND BIOMECHANICS, 2019, 2019
  • [46] An effective defect identification scheme in pipeline ultrasonic testing
    Song, Shoupeng
    Que, Peiwen
    RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING, 2006, 42 (04) : 255 - 260
  • [47] An effective defect identification scheme in pipeline ultrasonic testing
    Shoupeng Song
    Peiwen Que
    Russian Journal of Nondestructive Testing, 2006, 42 : 255 - 260
  • [48] Ultrasonic Testing of Castings - Optimization of Defect Detection.
    Stelling, H.A.
    Giessereiforschung, 1981, 33 (01): : 21 - 32
  • [49] Development and study of ultrasonic immersion testing system for industrial and metrological application
    Yadav, Kalpana
    Kumar, Rahul
    Dhiman, Nitin
    Yadav, Sanjay
    Dubey, P. K.
    JOURNAL OF INSTRUMENTATION, 2023, 18 (03)