Journal of the Korean Society of Visualization (한국가시화정보학회지)

The Korean Society of Visualization (한국가시화정보학회)
권호 표지
DOI QR코드

DOI QR Code

A study on the development of the fin-tube heat exchanger pollution ratio evaluation algorithm using Image Processing and Affine Transformation

영상처리 및 어파인변환을 이용한 핀튜브 열교환기 오염율 평가 알고리즘 개발에 관한 연구

  • Park, Sungmin (Graduate School of Department of Mechanical Engineering, Korea Maritime & Ocean University) ;
  • Jung, Myungin (R&D Lab./Reliability, LG Electronics) ;
  • Whang, Kwangil (Department of Mechanical Engineering, Korea Maritime & Ocean University) ;
  • Cho, Gyeongrae (Brain Korea 21, Korea Maritime & Ocean University)
  • Received : 2021.12.28
  • Accepted : 2022.01.27
  • Published : 2022.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Among the various factors that cause the performance decrease of heat exchangers used in many industries, flow path blocking is one of the important and serious factor. In order to solve this problem, proper maintenance and management of the heat exchanger is important and emphasized. In this study, we developed and algorithm that can quantitatively determine and diagnose the normal and blocked areas of fin-tube heat exchanger using pattern analysis, Gaussian Edge Detection, Image Processing and Affine Transformation techniques. The developed algorithms was applied to the actual heat exchanger and the performance was evaluated by comparing with the manual results. From these results, it was proved that the developed algorithm is effective in evaluating the pollution ratio of the fin-tube heat exchanger.

Keywords

Acknowledgement

본 연구는 한국연구재단 이공분야기초연구사업(No 2020R1I1A1A01052771)의 지원으로 수행되었으며 이에 감사드립니다.

References

  1. Kim, G. W. and Rhee, G. H., 2017, "Numerical Visualization Study of Offset Flow Control in a Wavy Fin Heat Exchanger" Proc. KSV Spring Conference, pp.25~26.
  2. Jeong, T. S., Park, S. H., Kim, C. S. and Kim, H. B., 2012, "Flow Visualization Study around the Distributor of Plate-fin Heat Exchangers" Journal of KSV, Vol. 10(3), pp.37~41.
  3. Addepalli, S., Eiroa, D., Lieotrakool, S., Francois, A. L., Guisset, J., Sanjaime, D.,Kazarian, M., Duda, J., Roy, R. and Phillips, P., 2015, "Degradation study of heat exchangers" Procedia Cirp, Vol 38, pp.137~142. https://doi.org/10.1016/j.procir.2015.07.057
  4. Allahkaram, S. R., P. Zakersafaee, and S. A. M. Haghgoo., 2011, "Failure analysis of heat exchanger tubes of four gas coolers" Engineering Failure Analysis, Vol 18(3), pp.1108~1114. https://doi.org/10.1016/j.engfailanal.2010.11.015
  5. Baek, W. S. and Lee, H. W., 2018, "Algorithm for Detecting PSD Boundary Invasion in Subway PSD using Image Processing" Journal of the KIECS, Vol. 13(5), pp.1051~1058.
  6. Kim, J. M., Kim, T. J. and Yu, D. I., 2020, "Research for development of our own image processing code for neutron tomography" Journal of KSV, Vol. 18(1), pp.44~49.
  7. Cho, M. O., Yoon, S. H., Han, W.T. and Kim, J. K., 2015, "Improvement of Image Processing Algorithm of High-Throughput Microscopy for Automated Counting of Asbestos Fibers" Journal of KSV, Vol. 13(3), pp.15~19.
  8. Cho, G. R., Doh, D. H., Kim, H. Y., Jin, G. J. and Kim, D.H, 2019, "Development Tobust Video Stabilization algorithm based Optical Flow" Journal of KSV, Vol. 17(3), pp.66~69.
  9. S. W, Kim and J, M, Song., 2021, "Statistical hypothesis testing using deep learning: Focusing on two sample t-test", Journal of the Korean Data And Information Science Society, Vol 32(1). pp. 25~35. https://doi.org/10.7465/jkdi.2021.32.1.25
  10. D. N, Lee and C, W, Lim., 2019, "Statistical methods for testing tumor heterogeneity", The Korean Journal of Applied Statistics, Vol 32(3). pp. 331~348. https://doi.org/10.5351/KJAS.2019.32.3.331