Journal of the Korean institute of surface engineering (한국표면공학회지)

The Korean Institute of Surface Engineering (한국표면공학회)
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Defect detection of vacuum insulation panel using image analysis based on corner feature detection

코너 특정점 기반의 영상분석을 활용한 진공단열재 결함 검출

  • Kim, Beom-Soo (Department of Mechanical System Engineering, Gyeongsang National University) ;
  • Yang, Jeonghyeon (Department of Mechanical System Engineering, Gyeongsang National University) ;
  • Kim, Yeonwon (Division of Marine Mechatronics, Mokpo National Maritime University)
  • 김범수 (경상국립대학교 기계시스템공학과) ;
  • 양정현 (경상국립대학교 기계시스템공학과) ;
  • 김연원 (목포해양대학교 해양메카트로닉스공학부)
  • Received : 2022.12.06
  • Accepted : 2022.12.15
  • Published : 2022.12.31
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Abstract

Vacuum Insulation Panel (VIP) is an high energy efficient insulation system that facilitate slim but high insulation performance, based on based on a porous core material evacuated and encapsulated in a multi-barrier envelope. Although VIP has been on the market for decades now, it wasn't until recently that efforts have been initiated to propose a standard on aging testing. One of the issues regarding VIP is its durability and aging due to pressure and moisture dependent increase of the initial low thermal conductivity with time. It is hard to visually determine at an early stage. Recently, a method of analyzing the damage on the a material surface by applying image processing technology has been widely used. These techniques provide fast and accurate data with a non-destructive way. In this study, the surface VIP images were analyzed using the Harris corner detection algorithm. As a result, 171,333 corner points in the normal packaging were detected, whereas 32,895 of the defective packaging, which were less than the normal packaging. were detected. These results are considered to provide meaningful information for the determination of VIP condition.

Keywords

Acknowledgement

본 과제(결과물)는 2022년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업의 결과물입니다.(2022RIS-002)

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