• Archives of Reconstructive Microsurgery
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• 제23권2호
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• pp.76-81
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• 2014

Purpose: Anteromedial surface of the leg is susceptible to trauma, which frequently induces soft tissue defect. When the size of a soft tissue defect is small to moderate, a local muscle flap is an easy and reliable alternative to a free flap. The authors performed medial hemisoleus flaps for reconstruction of soft tissue defects on the anteromedial surface of legs. The aim of this study was to evaluate clinical outcomes and effectiveness of the medial hemisoleus flap. Materials and Methods: Twelve patients underwent the medial hemisoleus flap for reconstruction of a soft tissue defect on the anteromedial surface of the leg from February 2009 to December 2013. There were eight males and four females with a mean age of 47.8 years (15 to 69 years). The mean size of defects was $4.7{\times}4.2cm$ ($2{\times}2$ to $9{\times}6cm$). Flap survival and postoperative complications were evaluated. Results: Mean follow-up period was 39.6 months (7 to 64 months) and all flaps survived. There were two cases of negligible necrosis of distal margin of the flap, which were healed after debridement. All patients were capable of full weight bearing ambulation at the last follow-up. Conclusion: The medial hemisoleus flap is a simple, reliable procedure for treatment of a small to moderate sized soft tissue defect on the anteromedial surface of the leg.

• Journal of Periodontal and Implant Science
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• 제39권4호
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• pp.385-390
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• 2009

Purpose: In this study we evaluated the morphologic aspects of defects created by a piezoelectric ultrasonic scaler with scaler tip on casting gold alloy using scanning electron microscope (SEM) images and defect surface profiles. Methods: 54 blocks of type III casting gold alloy (Firmilay, Jellenko Inc, CA, USA) were scaled by a piezoelectric ultrasonic scaler (P-MAX, Satelec, France) with scaler tip (No. 1 tip) on a sledge device. 2-dimensional profiles of defects on all samples were investigated by a surface profilometer (a-Step 500, KLA-Tencor, CA, USA). The selected working parameters were lateral force (0.5 N, 1.0 N, 2.0 N), mode (P mode, S mode), and power setting (2, 4, 8). SEM images were obtained. Defect surface profiles were made on Microsoft Excel program using data obtained by a surface profilometer. Results: Among P mode samples, there were similarities on defect surface profiles and SEM images regardless of lateral force. The defects created in P mode were narrow and shallow although the depth and the width increased as power setting changed low (2) to high (8). In P mode samples, the defect depth was the greatest when lateral force of 0.5 N was applied. However all the depths were smaller than 1 m. SEM images of Lateral force of 0.5 N, S mode, power setting 2 and 4 were similar to that of P mode, but the other SEM images of S mode showed discernible changes. Defect depth of S mode samples was the greatest when lateral force of 1.0 N was applied. Conclusions: Within the limitations of this study, it can be concoluded that removing capability of piezoelectric scaler with scaler tip becomes maximized as power level becomes higher but the capability is restricted when excessive lateral force is applied on scaler tip.

• 비파괴검사학회지
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• 제34권2호
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• pp.135-140
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• 2014

최근 압력용기가 다양한 산업분야에서 사용되고 있다. 압력용기의 내부 또는 외부에 결함이 발생하면 대형 사고를 유발하게 된다. 압력용기의 외부에 발생하는 결함은 육안검사를 통해 어느 정도 해결이 가능하지만, 압력용기 내부에 발생하는 결함은 육안검사로는 측정하기 어렵다. 이러한 형태의 결함을 측정하기 위해서는 비파괴검사가 적합하다. 전단간섭법은 광계측을 이용한 비파괴검사법 중 하나이며, 비접촉식으로 전체 측정영역에 대해 실시간으로 한 번의 실험을 통해 결함을 측정할 수 있다는 장점을 지니고 있다. 본 논문에서는 레이저 스페클 전단간섭법을 이용하여 측정할 수 있는 압력용기의 내부에 존재하는 결함 크기를 평가하였다. ASTM A53 Gr.B 재질로 제작된 압력용기 시험편 내부에 인위적인 결함을 가공하고 공압을 이용하여 압력용기에 내압을 가하여 결함을 측정하였다. 실험을 통해 0.2 MPa의 압력차에서도 압력용기의 원래 두께의 25 %의 깊이로 발생한 결함까지는 측정 가능함을 확인하였다.

• 한국건설관리학회논문집
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• 제6권3호
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• pp.128-134
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• 2005

방수공사의 중요성에 의해 그간 다양한 방수 재료 및 공법이 개발되었고 옥상바닥 방수공법으로 현재 합성고분자의 신장성, 탄성, 내구성 등이 뛰어날 폴리우레탄 도막방수재가 많이 보편화되어 성능이 높아지면서 시장점유율도 급증하게 되었다. 이에 방수성은 향상되었지만 이것 또한 방수결함이 빈번히 발생되고 있어 하자발생률이 감소되지는 않고 있는 실정이다. 이러한 측면에서 본 연구는 옥상방수에 있어서 폴리우레탄 도박방수를 중심으로 방수결함 유형 및 하자원인을 분석함으로써 향후 하자 재발방지를 위한 기초 자료로 활용하고자 한다. 순천지역을 대상으로 한 13개 현장 조사 결과 바탕의 평면불량으로 인한 물고임 현상이 $25\%$로 가장 많이 나타났고, 바탕의 건조불량으로 인한 부풀음 박리 현상이 $15\%$ 순으로 나타났으며 들뜸 $14\%$, 파단 $11\%$, 기타 순으로 결함이 발생되었다.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권2호
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• pp.68-71
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• 2006

Active thermography has been used for several years in the field of remote non-destructive testing. It provides thermal images for remote detection and imaging of damages. Also, it is based on propagation and reflection of thermal waves which are launched from the surface into the inspected component by absorption of modulated radiation. For energy deposition, it use external heat sources (e.g., halogen lamp or convective heating) or internal heat generation (e.g., microwaves, eddy current, or elastic wave). Among the external heat sources, the ultrasound is generally used for energy deposition because of defect selective heating up. The heat source generating a thermal wave is provided by the defect itself due to the attenuation of amplitude modulated ultrasound. A defect causes locally enhanced losses and consequently selective heating up. Therefore amplitude modulation of the injected ultrasonic wave turns a defect into a thermal wave transmitter whose signal is detected at the surface by thermal infrared camera. This way ultrasound thermography(UT) allows for selective defect detection which enhances the probability of defect detection in the presence of complicated intact structures. In this paper the applicability of UT for fast defect detection is described. Examples are presented showing the detection of defects in PCB material. Measurements are performed on various kinds of typical defects in PCB materials (both Cu metal and non-metal epoxy). The obtained thermal image reveals area of defect in row of thick epoxy material and PCB.

• Journal of Welding and Joining
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• 제16권3호
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• pp.64-73
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• 1998

This paper is concerned with defects detection and evaluation of heat affected zone (HAZ) in austenitic stainless steel type 304 by ultrasonic wave and neural network. In experiment, the reflected ultrasonic defect signals from artificial defects (side hole, vertical hole, notch) of HAZ appears as beam distance of prove-defect, distance of probe-surface, depth of defect-surface on CRT. For defect classification simulation, neural network system was organized using total results of ultrasonic experiment. The organized neural network system was learned with the accuracy of 99%. Also it could be classified with the accuracy of 80% in side hole, and 100% in vertical hole, 90% in notch about ultrasonic pattern recognition. Simulation results of neural network agree fairly well with results of ultrasonic experiment. Thus were think that the constructed system (ultrasonic wave - neural network) in this work is useful for defects dection and classification such as holes and notches in HAZ of austenitic stainless steel 304.

• 대한기계학회논문집
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• 제11권2호
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• pp.191-197
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• 1987

본 논문에서는 이상과 같이 그 중요성이 인정되는 작은 표면피로균열의 성장 특성을 조사하기 위하여 연강과 중탄소강에 두 종류의 작은 표면결함을 가공한 네가지 종류의 시험편을 제작하고, 응력비 R=-1인 소야식 회전굽힘 피로시험을 통하여 작은 표면결함이 피로강도에 미치는 영향과 그 성장특성을 조사한 후 응력확대계수 K를 사 용하는 방법과 반복전스트레인 확대계수범위 .DELTA. $K_{\epsilon}$t/를 비교 검토하여 그 유효성 을 조사하고 이를 파괴역학적 측면에서 고찰하였다.다.

• 한국표면공학회:학술대회논문집
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• 한국표면공학회 2000년도 춘계학술발표회 초록집
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• pp.7-7
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• 2000

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 B
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• pp.819-821
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• 2001

This paper describes a characteristics of MFL according to the position of Hall sensor Magnetic Flux Leakage(MFL) Method is used to detect surface defect in ferromagnetic plate. A plate has a surface defect and magnetizing equipment are producted to perform Non-Destructive Testing(NDT) using MFL. The SM 45C carbon steel plate is adopted to this experiment. there is a artifical defect with a twice of thickness and a half of depth of plate. Magnetizing equipment is composed of yoke made by layer-built of silicon sheet steel, NdFeB magnetic and iron brushes. Detecting defect is performed by MFL NDT using Hall sensor. It is shown that magnetic flux detected by Hall sensor is affected according to the position of Hall sensor through MFL experiment and numerical analysis.

• 제어로봇시스템학회논문지
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• 제21권10호
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• pp.982-987
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• 2015

The inspection machine in SMT (Surface Mount Technology) line detects the assembly defects such as missing, misalignment, loosing, or tombstone. We propose a new method to classify the defect types of chip components by processing the image of PCB. Two original images are obtained from horizontal lighting and vertical lighting. The image of the component is divided into two soldering regions and one packaging region. The features are extracted by appling the PCA (Principle Component Analysis) to each region. The MLP (Multilayer Perceptron) and SVM (Support Vector Machine) are then used to classify the defect types by learning. The experimental results are presented to show the usefulness of the proposed method.