• Title/Summary/Keyword: Thinning Defect

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Defect Detection of Wall Thinned Straight Pipe using Shearography and Lock-in Infrared Thermography (전단간섭계와 적외선열화상을 이용한 감육 직관의 결함검출)

  • Kim, Kyeong-Suk;Jung, Hyun-Chul;Chang, Ho-Seob;Kim, Ha-Sig;La, Sung-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.11
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    • pp.55-61
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    • 2009
  • The wall thinning defect of nuclear power pipe is mainly occurred by the affect of the flow accelerated corrosion (FAC) of fluid. This type of defect becomes the cause of damage or destruction of in carbon steel pipes. Therefore, it is very important to measure defect which is existed not only on the welding part but also on the whole field of pipe. This study use dual-beam Shearography, which can measure the out-of-plane deformation and the in-plane deformation by using another illuminated laser beam and simple image processing technique. And this study proposes Infrared thermography, which is a two-dimensional non-contact nondestructive evaluation that can detect internal defects from the thermal distribution by the inspection of infrared light radiated from the object surface. In this paper, defect of nuclear power pipe were, measured using dual-beam shearography and infrared thermography, quantitatively evaluated by the analysis of phase map and thermal image pattern.

Estimation of Collapse Moment for Wall Thinned Elbows Using Fuzzy Neural Networks

  • Na, Man-Gyun;Kim, Jin-Weon;Shin, Sun-Ho;Kim, Koung-Suk;Kang, Ki-Soo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.24 no.4
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    • pp.362-370
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    • 2004
  • In this work, the collapse moment due to wall-thinning defects is estimated by using fuzzy neural networks. The developed fuzzy neural networks have been applied to the numerical data obtained from the finite element analysis. Principal component analysis is used to preprocess the input signals into the fuzzy neural network to reduce the sensitivity to the input change and the fuzzy neural networks are trained by using the data set prepared for training (training data) and verified by using another data set different (independent) from the training data. Also, two fuzzy neural networks are trained for two data sets divided into the two classes of extrados and intrados defects, which is because they have different characteristics. The relative 2-sigma errors of the estimated collapse moment are 3.07% for the training data and 4.12% for the test data. It is known from this result that the fuzzy neural networks are sufficiently accurate to be used in the wall-thinning monitoring of elbows.

Microvascular Reconstruction of Nose Defect Using Auricular Free Flap (이개유리피판을 이용한 비 결손부 재건)

  • Nam, Dong-Woo;Lee, Jong-Wook;Burm, Jin-Sik;Chang, Young-Chul;Chung, Chul-Hoon;Oh, Suk-Joon
    • Archives of Reconstructive Microsurgery
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    • v.5 no.1
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    • pp.56-61
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    • 1996
  • The nasal ala and columella represent a difficult location for reconstruction, especially when defect area is covered with scar. Local flap, such as forehead flap or nasolabial flap, may result in additional facial scarring and bulkiness that require multiple thinning revisions. Recent delineation of vascular territories of the ear has allowed the use of vascularized auricular free flap in the reconstruction of large ala and columella defects. Authors reconstructed two cases of full thickiness defect of the ala and columella with auricular free flap. The pedicle of this flap is the superficial temporal artery and vein. The donor vessels were anastomosed to the facial artery and vein. The results were satisfactory cosmetically and functionally.

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Design of Hierarchical Classifier for Classifying Defects of Cold Mill Strip using Neural Networks (신경회로망을 이용한 냉연 표면흠 분류를 위한 계층적 분류기의 설계)

  • Kim, Kyoung-Min;Lyou, Kyoung;Jung, Woo-Yong;Park, Gwi-Tae;Park, Joong-Jo
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.4
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    • pp.499-505
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    • 1998
  • In developing an automated surface inspect algorithm, we have designed a hierarchical classifier using neural network. The defects which exist on the surface of cold mill strip have a scattering or singular distribution. We have considered three major problems, that is preprocessing, feature extraction and defect classification. In preprocessing, Top-hit transform, adaptive thresholding, thinning and noise rejection are used Especially, Top-hit transform using local minimax operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, and histogram ratio features are calculated. The histogram ratio feature is taken from the gray-level image. For defect classification, we suggest a hierarchical structure of which nodes are multilayer neural network classifiers. The proposed algorithm reduced error rate by comparing to one-stage structure.

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Effect of Internal Pressure on the Behavior of Wall Thinned Elbow under In-Plane Bending (In-plane 굽힘 조건에서 감육엘보우 거동에 미치는 내압의 영향)

  • Kim, Jin-Weon;Kim, Tae-Soon;Park, Chi-Yong
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.268-273
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    • 2004
  • This study is conducted to clarify the effect of internal pressure on the deformation and collapse behaviors of wall thinned elbow under in-plane bending moment. Thus the nonlinear three-dmensional finite element analyses were performed to obtain the moment-rotation curve of elbow contatining various wall thinning defects located at intrados and extrados under in-plane bending (closing and opening modes) with internal pressure of $0{\sim}15MPa.$ From the results of analysis, the effect of internal of collapse moment of elbow on the global deformation behavior of wall thinned elbow was discussed, and the dependence of collapse moment of elbow on the magnitude of internal pressure was investigated under different loading mode, defect location, and defect shape.

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Burst Test and Finite Element Analysis for Failure Pressure Evaluation of Nuclear Power Plant Pipes (원전 배관 손상압력 평가를 위한 파열시험 및 유한요소해석)

  • Yoon, Min Soo;Kim, Sung Hwan;Kim, Taesoon
    • Journal of the Korean Society of Safety
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    • v.30 no.1
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    • pp.144-149
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    • 2015
  • This study aims to quantitatively evaluate failure pressure of wall-thinned elbow under combined load along with internal pressure, by conducting real-scale burst test and finite element analysis together. For quantitative evaluation, failure pressure data was extracted from the real-scale burst test first, and then finite element analysis was carried out to compare with the test result. For the test, the wall-thinning defect of the extrados or intrados inside the center of 90-degree elbow was considered and the loading modes to open or close the specimen maintaining a certain load or displacement were applied. Internal pressure was applied until failure occurred. As a result, when the bending load was applied under the load control condition, the intrados of the defect was more affected by failure pressure than the extrados, and the opening mode was more vulnerable to failure pressure than the closing mode. When the bending load was applied under the displacement control, it was hardly affected by failure pressure though it was slightly different from the defect position. The result of the finite element analysis showed a similar aspect with the test. Moreover, when major factors such as material properties and pipeline thickness were calibrated to accurate values, the analytical results was more similar to the test results.

Structural Integrity Evaluation of SG Tube with Surface Wear-type Defects (표면 마모결함을 고려한 증기발생기 세관의 구조건전성 평가)

  • Kim, Jong-Min;Huh, Nam-Su;Chang, Yoon-Suk;Hwang, Seong-Sik;Kim, Joung-Soo;Kim, Young-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.12 s.255
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    • pp.1618-1625
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    • 2006
  • During the last two decades, several guidelines have been developed and used for assessing the integrity of a defective steam generator (SG) tube that is generally caused by stress corrosion cracking or wall-thinning phenomenon. However, as some of SG tubes are also failed due to fretting and so on, alternative failure estimation schemes are required for relevant defects. In this paper, parametric three-dimensional finite element (FE) analyses are carried out under internal pressure condition to simulate the failure behavior of SG tubes with different defect configurations; elliptical wear, tapered and flat wear type defects. Maximum pressures based on material strengths are obtained from more than a hundred FE results to predict the failure of SG tube. After investigating the effect of key parameters such as defect depth, defect length and wrap angle, simplified failure estimation equations are proposed in relation to the equivalent stress at the deepest point in wear region. Comparison of failure pressures predicted by the proposed estimation scheme with corresponding burst test data showed a good agreement.

TWO CASES OF LARGE ODONTOGENIC KERATOCYST(OKC) IN THE MANDIBLE (하악골에 광범위하게 발생한 치성각화낭종 2례)

  • Shim, Kwang-Sup
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.18 no.2
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    • pp.279-285
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    • 1996
  • The odontogenic keratocyst(OKC) was used of term and described some of clinical, radiological and microscopic features by Philipsen 1956. The microscopic finding of OKC is characterized by the production of keratin, Which sometimes fills the lumen and thinning of epithelium of cyst. The most clinical importance of OKC is its extraordinary recurrence rate owing to the incomplete removal of the cyst wall. The final diagnosis of OKC should be evaluated by histologic findings and follow-up of any case of OKC with annual roentgenograms and clinical evaluations is essential for at least five years after surgery. This article is report of 2 cases of large OKC involved both molar portion and symphysis of mandible with facial asymmetry, severe bone destruction and paresthesia of lower lip on clinically, roentgenographically. By the postoperative findings the patients showed normal regeneration of bone defect area without recurrence signs by panorama films after surgery.

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Development of a Sensornetwork based Wireless NDT Service Model for High-pressurized Piping Wall Thinning Defect Inspections in a NPP (원전 고압배관 감육검사를 위한 센서네트워크 기반 무선 NDT 서비스 모델 개발)

  • Choi, Yoo-Rark;Lee, Jae-Cheol
    • 한국IT서비스학회:학술대회논문집
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    • 2008.11a
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    • pp.469-471
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    • 2008
  • 원자력발전소에는 매우 복잡하고 긴 배관 시스템이 작동되고 있다. 이 배관은 매우 높은 온도와 압력에 견디게 설계 및 제작 되었으나, 사용연수의 증가에 따라 배관이 깎이는 감육현상이 발생하며, 이로 인한 배관 파단 사고가 발생하고 있다. 이러한 감육현상은 배관의 곡관부에서 자주 발생하는데, 이를 감시하기 위하여 지금까지는 초음파를 이용한 배관 두께 측정을 해오고 있다. 그러나 이 검사 결과의 신뢰성이 없고, 유선 검사 방식을 채택함으로 인한 장비 설치 문제로 극히 일부 배관의 곡관부에 대한 감시만 수행되고 있는 문제가 있다. 본 논문에서는 펄스 와전류 기법과 일체형 소형 무선 센서를 이용하여 이러한 문제를 해결할 수 있는 방안을 제안한다.

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