DOI QR코드

DOI QR Code

Colorization of C-Scan Ultrasonic Image and Automatic Evaluation Algorithm of Welding Quality

C-Scan 초음파 영상 컬러화 및 용접 품질 자동 평가 시스템

  • Kim, Tae-Kyu (School of Electronics Engineering, Kyungpook National University) ;
  • Kwon, Seong-Geun (Department of Electronics Engineering, KyungIl University)
  • Received : 2018.09.13
  • Accepted : 2018.10.23
  • Published : 2018.11.30

Abstract

The NDT using ultrasonic is largely divided into A-Scan and C-Scan methods. Since A-Scan method is subject to subjective judgement by trained personnel, C-Scan method has been introduced, which presents the weld area in two dimensions by placing the transducers two dimensionally used in the A-Scan method. Therefore, it is necessary to develop equipment that can provide weld quality without the help of a welding expert and the presentation of effective C-Scan images. Thus, in this paper, the algorithms that express a low resolution 2-dimensional gray image formed by C-Scan method as a high-resolution color C-Scan image and automatically determine the weld quality from the generated C-Scan color image. The high resolution color C-Scan images proposed in this paper allow the exact shape of the weld point to be expressed, and an objective algorithm to use this image to automatically determine weld quality.

Keywords

MTMDCW_2018_v21n11_1271_f0001.png 이미지

Fig. 4. Gray level matching according to echo signal reflected at the welding point.

MTMDCW_2018_v21n11_1271_f0002.png 이미지

Fig. 5. Proposed block diagram consisting of C-Scan image colorization and automatic welding quality evaluation algorithm.

MTMDCW_2018_v21n11_1271_f0003.png 이미지

Fig. 6. C-Scan image (a) with improved brightness and spatial resolution, (b) filtered by Gaussian filter with variance of 8, (c) by closing operation of the morphology and (d) by color mapping.

MTMDCW_2018_v21n11_1271_f0004.png 이미지

Fig. 7. C-Scan image of (a) binarization of closing image, (b) edge detection, (c) circumscribed circle, and (d) in-scribed circle of welding point.

MTMDCW_2018_v21n11_1271_f0005.png 이미지

Fig. 8. Circumscribed circle and inscribed circle ma-tched on (a) color C-Scan image and (b) weld-ing image.

MTMDCW_2018_v21n11_1271_f0006.png 이미지

Fig. 9. Structure of 2D ultrasonic transducer with 64 channel.

MTMDCW_2018_v21n11_1271_f0007.png 이미지

Fig. 1. (a) Measuring using ultrasonic probe and (b) echo signal presentation in A-Scan mode.

MTMDCW_2018_v21n11_1271_f0008.png 이미지

Fig. 2. (a) Measuring using ultrasonic probe and (b) echo signal presentation in C-Scan mode.

MTMDCW_2018_v21n11_1271_f0009.png 이미지

Fig. 3. (a) Front image and (b) both side expressed im-ageby S-Scan probe

MTMDCW_2018_v21n11_1271_f0010.png 이미지

Fig. 10. (a) C scan color images and (b) welding images found to be“defective.”

MTMDCW_2018_v21n11_1271_f0011.png 이미지

Fig. 11. (a) C scan color images and (b) welding images found to be“good.”

MTMDCW_2018_v21n11_1271_f0012.png 이미지

Fig. 12. (a) C scan color images and (b) welding images found to be“very good.”

References

  1. J.D. Lee, S.J. Lee, J.H. Bang, G.S. Yoon, M.S. Kim, and J.K. Kim, "Weld Quality Evaluation Method for the Resistance Spot Welds using X-Ray Transmission Inspection," Journal of Welding and Joining, Vol. 32, No. 6, pp. 1-7, 2014. https://doi.org/10.5781/JWJ.2014.32.6.1
  2. Y.S. Kim and S.C. Kil, "Latest Technology of Non Destructive Inspection for Welded Structure," Journal of Welding and Joining, Vol. 35, No. 2, pp. 63-70, 2017. https://doi.org/10.5781/JWJ.2017.35.2.10
  3. T.K. Kim, J.D. Seo, D.H. Lee, E.U. Kang, and S.G. Kwon, “Noise Reduction and C-Scan Image Shaping of Ultrasonic Signal for Welding Quality Inspection,” Journal of Korea Multimedia Society, Vol. 20, No. 10, pp. 1662-1670, 2017. https://doi.org/10.9717/KMMS.2017.20.10.1662
  4. S.G. Kwon and S.H. Lee, "Mobile NDT Inspection System Using Ultrasonic," Journal of Korea Multimedia Society, Vol. 19, No. 2, pp. 105-111, 2016. https://doi.org/10.9717/KMMS.2016.19.2.105
  5. NDT Resource Center. https://www.nde-ed.org/index_flash.htm (accessed Jul., 16, 2018).
  6. Y.Yu and S.T. Acton, "Speckle Reducing Anisotropic Diffusion," IEEE Transaction on Image Processing, Vol. 11, No. 11, pp. 1260-1270, 2002. https://doi.org/10.1109/TIP.2002.804276
  7. C.Y. Lee and N.H. Kim, "A Study on Mask-based Edge Detection Algorithm using Morphology," Journal of Korea Institute of Information and Communication Engineering, Vol. 19, No. 10, pp. 2441-2449, 2015. https://doi.org/10.6109/JKIICE.2015.19.10.2441