Advanced Search
CHI Dazhao, GANG Tie, YAO Yingxue, YUAN Yuan, SHENG Chaoyang. Mode for near surface defect detection based on ultrasonic TOFD[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (2): 25-28.
Citation: CHI Dazhao, GANG Tie, YAO Yingxue, YUAN Yuan, SHENG Chaoyang. Mode for near surface defect detection based on ultrasonic TOFD[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (2): 25-28.

Mode for near surface defect detection based on ultrasonic TOFD

More Information
  • Received Date: November 14, 2010
  • Aims at the problem of near surface dead zone in ultrasonic TOFD(time of flight diffraction) method,a modified testing mode named as TOFDW,which employs the three-fold reflected longitudinal wave from the bottom of the piece under testing,is presented based on the conventional TOFD technique.The characteristic of sound propagation in TOFDW mode is analyzed and its detection principle is illustrated.Through artificial defect testing,the features of tested signal and image are cognized,and the testing sensitivity and accuracy of the testing mode are studied.Weld piece is tested and the result is verified by destructive testing.The experimental results show that TOFDW model can identify the near surface defect that cannot be distinguished by using conventional methods,and the artificial defect with buried depth of 1.0 mm can be effectively detected.The model has a high quantitative accuracy,and the average absolute error of artificial defects location is less than 0.3 mm.
  • Related Articles

    [1]XIE Yuxin, GONG Yefei, GU Xinhao, CHEN Xiaobin, WANG Meng, XU Huigang. Research on weld surface defect detection method based on RGB-D feature fusion[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(12): 72-78. DOI: 10.12073/j.hjxb.20230712002
    [2]CHI Dazhao, WANG Ziming, LIU Haichun, LI Qingsheng, GUO Qiang, SU Weigang, JIA Tao. Defect localization based on ultrasonic TOFD B-scan image prediction[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(12): 1-6. DOI: 10.12073/j.hjxb.20240806002
    [3]WANG Rui, GAO Shaoze, LIU Weipeng, WANG Gang. A lightweight and efficient X-ray weld image defect detection method[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(7): 41-49. DOI: 10.12073/j.hjxb.20230630003
    [4]WANG Rui, HU Yunlei, LIU Weipeng, LI Haitao. Defect detection of weld X-ray image based on edge AI[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2022, 43(1): 79-84. DOI: 10.12073/j.hjxb.20210516001
    [5]Yu Peng, Gang Tie. Use total focusing method to image the near-surface planar defect in welded joint[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(12): 36-40. DOI: 10.12073/j.hjxb.2019400309
    [6]CHI Dazhao, GANG Tie. Defect detection method based on ultrasonic clutter wave suppression[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(10): 17-20.
    [7]CHI Dazhao, GANG Tie, ZHAO Libin. Weld defect detection using line-focusing ultrasonic method[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(5): 29-32.
    [8]CHI Dazhao, GANG Tie, YAO Yingxue, YUAN Yuan. Defect detection for red copper weldment using ultrasonic method[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2010, (5): 21-24.
    [9]GUO Li-wei, Gang Tie, Hu xin. Effects of uneven surface on ultrasonic testing results of defects close to surface[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2006, (12): 81-84.
    [10]CHI Da-zhao, GANG Tie, YUAN Yuan, LÜ Pin. Characteristic and recognition of ultrasonic TOFD signal and image for planar defect[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2005, (11): 1-4.

Catalog

    Article views (503) PDF downloads (237) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return