• Title/Summary/Keyword: 용접외부결함 검출

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An Image Processing Algorithm for a Visual Weld Defects Detection on Weld Joint in Steel Structure (강구조물 용접이음부 외부결함의 자동검출 알고리즘)

  • Seo, Won Chan;Lee, Dong Uk
    • Journal of Korean Society of Steel Construction
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    • v.11 no.1 s.38
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    • pp.1-11
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    • 1999
  • The aim of this study is to construct a machine vision monitoring system for an automatic visual inspection of weld joint in steel structure. An image processing algorithm for a visual weld defects detection on weld bead is developed using the intensity image. An optic system for getting four intensity images was set as a fixed camera position and four different illumination directions. The input images were thresholded and segmented after a suitable preprocessing and the features of each region were defined and calculated. The features were used in the detection and the classification of the visual weld defects. It is confirmed that the developed algorithm can detect weld defects that could not be detected by previously developed techniques. The recognized results were evaluated and compared to expert inspectors' results.

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Method of Radiographic Testing and Industrial Application (방사선 투과검사의 방법과 산업적용)

  • Lee, Yong
    • Journal of Welding and Joining
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    • v.12 no.4
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    • pp.35-40
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    • 1994
  • 비파괴검사(NDT)란 시험품에 손상을 주지 않고 내.외부에 존재하는 불연속부(결함)을 찾아내는 방법으로 다음과 같이 그 종류를 분류할 수 있다. (1) 표면결함 검출을 위한 비파괴검사 - 육안검사(VT) : 확대경 등에 의한 치수, 형상확인 - 자분탐상검사(MT) : 강자성체에 적용, 표면(하) 결함검출 - 침투탐상검사(PT) : 금속, 비철금속에 적용, 표면개구 결함검출 - 와류탐상검사(ET) : 도체 표층부(봉, 관 등) (2) 내부결함 검출을 위한 비파괴검사 - 방사선 투과검사(RT) : 결함의 종류, 형상의 판별 우수 - 초음파 탐상검사(UT) : 균열 등 면상 결함검출 등 우수 (3) 기타 비파괴검사 - Strain 측정 : 안전성 평가 - 음향방출시험(AET) - 누설시험(LT) - 중성자 방사선시험(NRT) 이상에서 보는 바와 같이 여러 종류의 비파괴검사가 있으나, 그 중에서 용접부에 적용되는 가장 일반적인 검사방법인 방사선 투과검사에 대해 기술하고자 한다.

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A Study of Inspection of Weld Bead Defects using Laser Vision Sensor (레이저 비전 센서를 이용한 용접비드의 외부결함 검출에 관한 연구)

  • 이정익;이세헌
    • Journal of Welding and Joining
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    • v.17 no.2
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    • pp.53-60
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    • 1999
  • Conventionally, CCD camera and vision sensor using the projected pattern of light is generally used to inspect the weld bead defects. But with this method, a lot of time is needed for image preprocessing, stripe extraction and thinning, etc. In this study, laser vision sensor using the scanning beam of light is used to shorten the time required for image preprocessing. The software for deciding whether the weld bead is in proper shape or not in real time is developed. The criteria are based upon the classification of imperfections in metallic fusion welds(ISO 6520) and limits for imperfections(ISO 5817).

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