• Title/Summary/Keyword: Artificial flaws

검색결과 53건 처리시간 0.021초

Ultrasonic Signal Analysis with DSP for the Pattern Recognition of Welding Flaws

  • Kim, Jae-Yeol;Cho, Gyu-Jae;Kim, Chang-Hyun
    • International Journal of Precision Engineering and Manufacturing
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    • 제1권1호
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    • pp.106-110
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    • 2000
  • The researches classifying the artificial flaws in welding parts are performed using the pattern recognition technology. For this purpose the signal pattern recognition package including user defined function is developed and the total procedure is made up the digital signal processing, feature extraction, feature selection, classfier design. Specially it is composed with and discussed using the ststistical classfier such as the linear discriminant function classfier, the empirical Bayesian classfier.

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충격 공진법에 의한 대소 경계조건하 콘크리트 블록 내부결함 신호의 해석 (Analysis of Vibration Modes of Small and Large Concrete Blocks Containing Flaws by Impact Resonance Method)

  • 박석균;윤석수
    • 콘크리트학회지
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    • 제11권1호
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    • pp.161-171
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    • 1999
  • 본 연구는 비파괴 검사방법인 충격 공진법을 이용하여 결함을 갖는 콘크리트 시험체로부터의 반사신호를 정량적으로 해석하기 위한 연구이다. 충격 공진법은 비교적 저주파의 강한 에너지를 콘크리트내에 가하여 그 반사신호로부터 결함이나 경계층 등을 조사하기 때문에 굵은 골재 등을 포함하고 중량물인 콘크리트 구조물의 탐사에 유용하다. 그러나, 보나 기둥 등의 작은 경계를 갖는 콘크리트 시험체를 대상으로 할 경우에는 각 경계로부터 수평방향을 왕복하는 R-파의 영향이 크기 때문에 결함 또는 경계층으로부터의 반사신호인 수직방향으로부터의 P-파의 세기가 충분히 크지 못하면, 결함 등으로부터의 신호를 검출하기 어렵게 된다. 따라서, 본 연구에서는 시험체의 경계조건과 결함의 위치에 따라 발생 가능한 각 진동모드를 정량적으로 해석하는 방법을 연구하여 결함으로부터의 신호를 검출하는 방법에 대해 검토하였다. 그 결과, 각모서리의 길이가 50cm 이내의 작은 경계조건과 50cm의 깊은 두계를 갖는 콘크리트 시험체내의 결함에 대해서도 콘크리트가 부배합 조건이고 결함의 깊이가 30cm이내일 경우 정량적 탐사가 가능하며, 각 모서리의 크기가 충분히 큰 대형 시험체 조건에서는 보다 용이하고 폭넓게 다양한 조건의 결함 등에 대한 정량적 참사가 가능하였다.

Control of Tensile Behavior of Ultra-High Performance Concrete Through Artificial Flaws and Fiber Hybridization

  • Kang, Su-Tae;Lee, Kang-Seok;Choi, Jeong-Il;Lee, Yun;Felekoglu, Burak;Lee, Bang Yeon
    • International Journal of Concrete Structures and Materials
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    • 제10권sup3호
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    • pp.33-41
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    • 2016
  • Ultra-high performance concrete (UHPC) is one of the most promising construction materials because it exhibits high performance, such as through high strength, high durability, and proper rheological properties. However, it has low tensile ductility compared with other normal strength grade high ductile fiber-reinforced cementitious composites. This paper presents an experimental study on the tensile behavior, including tensile ductility and crack patterns, of UHPC reinforced by hybrid steel and polyethylene fibers and incorporating plastic beads which have a very weak bond with a cementitious matrix. These beads behave as an artificial flaw under tensile loading. A series of experiments including density, compressive strength, and uniaxial tension tests were performed. Test results showed that the tensile behavior including tensile strain capacity and cracking pattern of UHPC investigated in this study can be controlled by fiber hybridization and artificial flaws.

TOFD 기법을 활용한 원자로 상부헤드관통부 오버레이 용접부 결함 검출 가능성 평가 (A Feasibility Test for Flaw Detection in Overlay Weld of Reactor Upper Head Penetration Using Time of Flight Diffraction Technique)

  • 이정석;김진회
    • 한국압력기기공학회 논문집
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    • 제10권1호
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    • pp.15-19
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    • 2014
  • A Failure or degradation of reactor upper head penetration is a recurring problem due to long term operation at nuclear power plants. And a flaw in the reactor upper head penetration has caused unplanned plant shutdown for repair as well as high economic impact on the plants. Consequently, a detection of flaws is of the utmost importance. Prior to the replacement of reactor upper head penetration, some utilities have repaired the flaws of reactor upper head penetration generated by overlay weld. Until now, only the base metal in reactor upper head penetration has been inspected according to 10 CFR 50.55a and ASME code case N-729-1. Accordingly, it is difficult to detect manufacturing defects and repair defects in overlay weld. This paper presents a case study on the application of Time of Flight Diffraction technique for reactor head penetration mockup with artificial flaws in overlay weld. This study offers a way to understand the flaws detected in reactor upper head penetration overlay weld.

PVDF 수침용 고주파수 초음파 탐촉자의 검출장과 Cr-Ni 강에서의 결함 검출능 측정 (Characteristics of High Frequency Ultrasonic Transducer Employing Polyvinylidene Fluoride and Detectability of Flaw in Cr-Ni Steel)

  • 김병극;이승석
    • 비파괴검사학회지
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    • 제17권1호
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    • pp.23-30
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    • 1997
  • 최근 시료 내부의 미세 결함의 측정을 위하여 초음파의 발생 소자로 polyvinylidene fluoride(PVDF)나 polyvinylidene fluoride trifluoroethylene P(VDF-TrFE) 압전 재료를 사용한 광대역 고주파수 초음파 탐촉자가 이용되고 있다. 중심 주파수 80MHz의 PVDF 수침용 집속형 초음파 탐촉자의 특성과 물과 시료에서의 초음파의 검출장을 측정하였으며 강재 시편에서의 결함 검출능을 측정하였다. 물과 강재 시험편에서 고주파수 초음파의 감쇠가 결함 검출능을 좌우하는 주요 변수이었다. 작은 결정립을 지닌 크롬-니켈강 재료를 사용하여 12mm 깊이에 직경 $50{\mu}m$에서 $560{\mu}m$ 범위의 flat-bottom hole들을 가공한 시편을 준비하였고 C-scan과 B-scan을 수행하였다. 직경 $280{\mu}m$ 이상의 flat-bottom hole들은 검출되었고 파장에 대한 결함 크기의 비가 약 0.48 이하의 결함은 검출되지 않았다. 시편에 초음파의 고주파수 성분이 입사되었으나 약 25MHz 이상의 고주파수 성분이 시편내의 초음파의 전파 경로에서 모두 감쇠되어 더 작은 결함에 대한 검출장이 형성되지 못했다.

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Micro-Crack Healing on Soda-Lime Glass by Chemical Strengthening

  • Kim, Hyeong-Jun;Lee, Sung-Min;Maeng, Jeehun;Kim, Dong-hwan
    • 한국세라믹학회지
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    • 제56권5호
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    • pp.483-488
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    • 2019
  • We studied whether chemical strengthening can heal the flaws on soda-lime silicate glass. Artificial surface cracks were introduced on the glass by sharp indentation with various loads of 0.1 to 10 N. Then, the glasses with flaws were treated by ion-exchanging in KNO3 melt. The change in the dimension of the crack on glass was measured by a digital microscope and a scanning electron microscope. The chemical strengthening treatment enhances the strength of the glass with flaws. It is thought that the melted KNO3 not only forms the depth of the compressed layer of 7.5 ㎛, but also heals the cracks by infiltrating them and expanding the glass on both sides of the cracks. The critical length (2c) of the cracks on soda-lime glass that can be healed by chemical strengthening is 50 ㎛ or less.

적외선열화상을 이용한 복합소재대차의 결함평가 (Thermographic Defects Evaluation of Railway Composite Bogie)

  • 김정국;권성태;김정석;윤혁진
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 춘계학술대회 논문집
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    • pp.548-553
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    • 2011
  • The lock-in thermography was employed to evaluate the defects in railway bogies. Prior to the actual application on railway bogies, in order to assess the detectability of known flaws, the calibration reference panel was prepared with various dimensions of artificial flaws. The panel was composed of polymer matrix composites, which were the same material with actual bogies. Through lock-in thermography evaluation, the optimal frequency of heat source was determined for the best flaw detection. Based on the defects information, the actual defect assessments on railway bogie were conducted with different types of railway bogies, which were used for the current operation. In summary, it was found that the novel infrared thermography technique could be an effective way for the inspection and the detection of surface defects on bogies since the infrared thermography method provided rapid and non-contact investigation of railway bogies.

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초음파검사시 ASME와 RCC-M CODE에 따른 결함 크기측정 및 허용기준 비교평가 (The Comparison of Acceptance Criteria and Flaw Size Measurement between ASME and RCC-M Code in Ultrasonic Examination)

  • 김병철;임형택;이종포;주영상
    • 비파괴검사학회지
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    • 제8권1호
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    • pp.6-11
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    • 1988
  • The comparison and analysis of flaw detectability, flaw sizing methods and allowable criteria in accordance with the applicable codes, ASME and RCC-M Code, in ultrasonic examination of pressure vessel in nuclear power plants were studied. Accordding to the codes, calibration blocks were made. The artificial flaws such as disc and band types in test specimens were machined. They were detected and evaluated with etch code requirements and measured values were compared with the actual flaws.

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Ultrasonic Phased Array Techniques for Detection of Flaws of Stud Bolts in Nuclear Power Plants

  • Lee, Joon-Hyun;Choi, Sang-Woo
    • 비파괴검사학회지
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    • 제26권6호
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    • pp.440-446
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    • 2006
  • The reactor vessel body and closure head are fastened with the stud bolt that is one of crucial parts for safety of the reactor vessels in nuclear power plants. It is reported that the stud bolt is often experienced by fatigue cracks initiated at threads. Stud bolts are inspected by the ultrasonic technique during the overhaul periodically for the prevention of failure which leads to radioactive leakage from the nuclear reactor. The conventional ultrasonic inspection for stud bolts was mainly conducted by reflected echo method based on shadow effect. However, in this technique, there were numerous spurious signals reflected from every oblique surfaces of the thread. In this study, ultrasonic phased array technique was applied to investigate detectability of flaws in stud bolts and characteristics of ultrasonic images corresponding to different scanning methods, that is, sector and linear scan. For this purpose, simplified stud bolt specimens with artificial defects of various depths were prepared.

미소결함의 형상인식을 위한 디지털 신호처리 적용에 관한 연구 (A Study on the Application of Digital Signal Processing for Pattern Recognition of Microdefects)

  • 홍석주
    • 한국생산제조학회지
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    • 제9권1호
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    • pp.119-127
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    • 2000
  • In this study the classified researches the artificial and natural flaws in welding parts are performed using the pattern recognition technology. For this purpose the signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing feature extraction feature selection and classifi-er selection is teated by bulk,. Specially it is composed with and discussed using the statistical classifier such as the linear discriminant function the empirical Bayesian classifier. Also the pattern recognition technology is applied to classifica-tion problem of natural flaw(i.e multiple classification problem-crack lack of penetration lack of fusion porosity and slag inclusion the planar and volumetric flaw classification problem), According to this result it is possible to acquire the recognition rate of 83% above even through it is different a little according to domain extracting the feature and the classifier.

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