Experimental Analysis of Surface Defects Detection Method Based on Ultrasonic Signal

被引:0
|
作者
Li, Xingang [1 ]
Wang, Zhenqing [1 ]
Chen, Zeyong [2 ]
Zhou, Limin [3 ]
Yang, Kang [1 ]
机构
[1] Harbin Engn Univ, Smart Struct & Adv Composites Lab, Harbin 150001, Peoples R China
[2] Shenzen Acad Metrol & Qual Inspect, Shenzhen 518055, Peoples R China
[3] Hong Kong Polytech Univ, Dept Mech Engn, Kowloon, Peoples R China
来源
TESTING AND EVALUATION OF INORGANIC MATERIALS I | 2011年 / 177卷
关键词
echo signal; ultrasonic wave; high-frequency; continuous wavelet; WAVE-PROPAGATION;
D O I
10.4028/www.scientific.net/AMR.177.349
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This is an experiment of the damage examination of plate material with the application of elastic waves. By use of two ultrasonic probe attached to the surface of plate material, elastic waves can be injected into the structure and the probe can also receive the echo signal. By comparing the received echo signal of the defect structure and of an intact structure, the purpose of recognizing the existence of defects was achieved by extracting the signal reflection caused by the defective components. A comprehensive research based on ultrasonic wave for nondestructive testing experimental system was done. The Ultrasonic flaw detector produces high-frequency and high-voltage pulse signals and it stimulates the actuators to transmit the elastic waves into the plate material. Another probe receives the echo signals, and as to the diagnosis of the extraction of the echo signal, a good method will be adopted: By the method of continuous wavelet transform, and then study the distribution of time domain and frequency domain. By comparing echo signal, the purpose of identifying the existence of defects is achieved by extracting the echo signal caused by the defective components.
引用
收藏
页码:349 / +
页数:2
相关论文
共 50 条
  • [41] Detection method of manufacturing defects on aircraft surface based on fringe projection
    Xia, Renbo
    Zhao, Jibin
    Zhang, Tianyu
    Su, Run
    Chen, Yueling
    Fu, Shengpeng
    OPTIK, 2020, 208
  • [42] Detection of surface defects based on the optimized scanning laser source method
    Liang, Xiaohu
    Lin, Bin
    Liu, Zaiwei
    Du, Anyao
    WAVE MOTION, 2023, 118
  • [43] EXPERIMENTAL INVESTIGATION OF AN ULTRASONIC SPECTRAL METHOD OF DETERMINING NATURE OF DEFECTS
    VOPILKIN, AK
    ERMOLOV, IN
    STASEEV, VG
    SOVIET JOURNAL OF NONDESTRUCTIVE TESTING-USSR, 1978, 14 (01): : 34 - 43
  • [44] Research on laser ultrasonic defect signal detection technology based on energy analysis
    Zeng, Wei
    Wang, Haitao
    Tian, Guiyun
    Fang, Ling
    Wang, Wen
    Wan, Min
    Yang, Xianming
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2014, 35 (03): : 650 - 655
  • [45] Detection of ultrasonic cavitation based on low-frequency analysis of acoustic signal
    Brabec, Kamil
    Mornstein, Vojtech
    CENTRAL EUROPEAN JOURNAL OF BIOLOGY, 2007, 2 (02): : 213 - 221
  • [46] A Novel Denoising Algorithm of Electromagnetic Ultrasonic Detection Signal Based on Improved EEMD Method
    Gong, Wenkang
    Liu, Qi
    Du, Wenhao
    Xu, Weichen
    Wang, Gang
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2018, 2018
  • [47] Non-linear wavelet shrinkage based method for defect detection in ultrasonic signal
    State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China
    不详
    Jixie Gongcheng Xuebao, 18 (1-6):
  • [48] A method for detecting defects in reinforced concrete structures of underwater tunnels based on ultrasonic echo signal and CNN
    Wang, Wenhui
    Li, Yikai
    Li, Yao
    AIP ADVANCES, 2024, 14 (11)
  • [49] Ultrasonic Detection and Diagnostic Method for the Internal Defects in Epoxy Composite
    Liu, Peng
    Li, Jiahao
    Ye, Zhiwei
    Wu, Zehua
    Qiu, Ning
    Cui, Boyuan
    Wei, Jianwei
    Peng, Zongren
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2024, 31 (06) : 3221 - 3230
  • [50] Study of ultrasonic guided waves signal based on morphology component analysis method
    Li, Xiang
    Li, Xun-Bo
    Chen, Liang
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2013, 41 (03): : 444 - 450