Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Defect Detection of Brazing Joint in Heat Exchanger Using X-ray Image

X-선을 이용한 열교환기 브레이징 접합부 결함 검출

  • 김진영 (동명대학교 메카트로닉스공학과) ;
  • 서상우 (동명대학교 기계시스템공학과)
  • Received : 2011.06.21
  • Accepted : 2011.09.07
  • Published : 2011.10.01
Download PDF
⟨ Previous Next ⟩

Abstract

The quality of brazing joints is one of the most important factors that have an effect on the performance of the brazing joint-based heat exchangers with the growing use in industry recently. Therefore, it is necessary to inspect the brazing joints in order to guarantee the performance of the heat exchangers. This paper presents a non-destructive method to inspect the brazing joints of the heat exchangers using X-ray. Firstly, X-ray cross-sectional images of the brazing joints are obtained by using CT (Computerized Tomography) technology. Cross-sectional image from CT is more useful to detect the inner defects than the traditional transmitted X-ray image. Secondly, the acquired images are processed by an algorithm proposed for the defect detection of brazing joint. Finally, two types of brazing joint are examined in a series of experiments to detect the defects in brazing joints. The experimental results show that the proposed algorithm is effective for defect detection of the brazing joints in heat exchangers.

Keywords

References

  1. W. Y. Kim, B. H. Jung, and S. Y. Lee, "A characteristic of microstructures in bonding interlayer of brazed titanium to copper," Journal of the Korean Welding Society (in Korean), vol. 13, no. 3, pp. 106-115, Oct. 1995.
  2. J. W. Jo, J. M. Jung, Y. S. Choi, S. H. Jung, and H. K. Jung, "A defect detection of thin welded plate using an ultrasonic infrared imaging," Journal of control, automation and systems engineering (in Korean), vol. 13, no. 11, pp. 1060-1066, Nov. 2007. https://doi.org/10.5302/J.ICROS.2007.13.11.1060
  3. J. W. Jo, Y. S. Choi, and S. H Jung, "A brazing defect detection using an ultrasonic infrared imaging inspection," Journal of the Korean society for nondestructive testing (in Korean), vol. 27, no. 5, pp. 426-431, Oct. 2007.
  4. S. Y. Lee and C. H. Kim, "Measurements of micro-defects in the aluminum thixoformed part using CT (Computed Tomography) technology," Transactions of materials processing : Journal of the Korean society for technology of plastics (in Korean), vol. 18, no. 5, pp. 422-427, Jul. 2009. https://doi.org/10.5228/KSPP.2009.18.5.422
  5. Y. J. Kim, J. Y. Koo, S. S. Lee, and H. W. Kim, "High resolution computerized tomography system using the microfocus X-ray for inspection of small specimens," Journal of the Korean society for nondestructive testing (in Korean), vol. 18, no. 3, pp. 181-190, Feb. 1998.
  6. J. Y. Kang, "Brazing defect," Journal of the Korean Welding Society (in Korean), vol. 18, no. 2, pp. 11-13, Dec. 2000.
  7. R. C. Gonzalez, R. E. Woods, Digital Image Processing, Prentice Hall, 2008.
  8. Baxes, Gregory A., Digital Image Processing: Principles and Applications, Wiley, 1994.
  9. D. J. Kang, and J. E. Ha, Digital Image Processing, Infinitybooks, 2010.
  10. J. Canny, "A computation approach to edge detection," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, 1984.
  11. J. Y. Kim and S. W. Seo, "Inspection of brazing joint defects in the heat exchanger using X-ray," Int. Conf. on Control, Automation and Systems, pp. 1862-1866, 2010.
  12. R. O. Duda and P. E. Hart, "Use of the Hough Tran. to Detect Lines and Curves in Pictures," Comm. of the ACM, vol. 15, no. 1, pp. 11-15, 1972. https://doi.org/10.1145/361237.361242
  13. C. Kimme, D. H. Ballard, and J. Sklansky, "Finding circles by an array of accumulators," Comm. of the ACM, vol. 1, no. 2, pp. 120-122, 1975.