• 한국해양공학회지
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• 제29권2호
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• pp.199-206
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• 2015

Regular high-strength carbon steel is currently the most commonly used pipe material for onshore and offshore pipelines. The corrosion of offshore pipelines is a major problem as they age. The collapse of these structures as a result of corrosion may have a heavy cost is lives and assets. Therefore, their monitoring and screening is a high priority for maintenance, which may ensure the integrity and safety of a structure. Monitoring risers and subsea pipelines effectively can be accomplished using eddy current inspection to detect the average remaining wall thickness of corroded low-alloy carbon steel pipelines through corrosion scaling, paint, coating, and concrete. A test specimen for simulating the offshore pipeline is prepared as a standard specimen for an analysis and experiment with differential bobbin eddy current sensors. Using encircling coils, the signals for the defect in the simulated specimen are analyzed and evaluated in experiments. Differential bobbin eddy current sensors can diagnose the defects in a specimen, and experiments have been carried out using the developed bobbin eddy current sensor. As a result, the most optimum coil parameters were selected for designing differential bobbin eddy current sensors.

• 한국구조물진단유지관리공학회 논문집
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• 제25권6호
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• pp.41-49
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• 2021

시멘트 혼입 폴리머계 방수재는 일반적으로 현장에서 배합하여 도포 형태로 사용되는 경우로 시공 시 발생되는 기포, 요철로 인한 불균일한 도막두께 등에 대한 시공능력을 보완해야 할 필요가 있다. 본 연구의 최종 목적은 폴리머 방수재의 현장 적용 시 시공방법을 도장·도포하는 단일공정에 그치지 않고 시트를 부착하는 공정을 추가하여 이에 대한 성능을 검토하는 것이다. 이에 대하여 재료, 환경, 제작방법 등을 검토하여 적용성을 평가하였다.

• 한국압력기기공학회 논문집
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• 제19권2호
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• pp.93-101
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• 2023

In this study, a deep learning algorithm was used to diagnose electric potential signals obtained through CIPS and DCVG, used indirect inspection methods to confirm the soundness of buried pipes. The deep learning algorithm consisted of CNN(Convolutional Neural Network) model for diagnosing the electric potential signal and Grad CAM(Gradient-weighted Class Activation Mapping) for showing the flaw prediction point. The CNN model for diagnosing electric potential signals classifies input data as normal/abnormal according to the presence or absence of flaw in the buried pipe, and for abnormal data, Grad CAM generates a heat map that visualizes the flaw prediction part of the buried pipe. The CIPS/DCVG signal and piping layout obtained from the 3D finite element model were used as input data for learning the CNN. The trained CNN classified the normal/abnormal data with 93% accuracy, and the Grad-CAM predicted flaws point with an average error of 2m. As a result, it confirmed that the electric potential signal of buried pipe can be diagnosed using a CNN-based deep learning algorithm.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 추계학술대회 논문집
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• pp.192-196
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• 2005

Key part of main equipment in a gas turbine may be likely to be damaged due to operation under high temperature, high pressure, high-speed rotation, etc. Accordingly, the cost for maintenance increases and the damaged parts may cause generation to stop. The number of parts for maintenance also increases, but diagnostics technology fur the maintenance actually does not catch up with the demand. Blades are made of precipitation hardening Ni superalloy IN738 and the like for keeping hot strength. The surface of a blade is thermal-sprayed, using powder with main compositions such as Ni, Cr, Al, etc. in order to inhibit hot oxidation. Conventional regular maintenance of the coating layer of a blade is made by FPI (Fluorescent Penetrant Inspection) and MTP (Magnetic Particle Testing). Such methods, however, are complicated and take long time and also require much cost. In this study, defect diagnostics were tested for the coating layer of an industrial gas turbine blade, using an infraredthermography camera. Since the infrared thermography method can check a temperature distribution on a wide range of area by means of non-contact, it can advantageously save expenses and time as compared to conventional test methods. For the infrared thermography method, however, thermo-load must be applied onto a tested specimen and it is difficult to quantify the measured data. To solve the problems, this essay includes description about producing a specimen of a gas turbine blade (bucket), applying thermo-load onto the produced specimen, photographing thermography images by an infrared thermography camera, analyzing the thermography images, and pre-testing for analyzing defects on the coating layer of the gas turbine blade.

• 대한약침학회지
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• 제25권4호
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• pp.382-389
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• 2022

Objectives: The Korean Industrial Standard (KS) for sterile acupuncture needles was established in 2009 based on research on the quality control of acupuncture needles. We aimed to determine the quality of acupuncture needles available in South Korea in 2021 by examining their surface condition and chemical composition using field-emission scanning electron microscopy (FE-SEM) and energy-dispersive X-ray spectroscopy (EDS). Methods: In South Korea, there are 23 brands of acupuncture needles, and we examined 10-15 needles from each brand, resulting in a total of 285 needles. The microstructures of the needles were assessed by SEM. Using SEM images, we evaluated the acupuncture needle tips for the following defects/aspects: scratches, lumps, detached coating, bent tip, and tip sharpness. EDS was used to determine the chemical composition of the selected acupuncture needles. Results: Overall, 88.4% of 285 needles were found to have at least one type of abnormality. The most frequently observed abnormalities were scratches and dents on the surface (68.1%), followed by detached coating (63.2%), and lumps (61.8%); blunt tips were observed in about 24% of them. Of 252 needles with at least one defect, 86.9% had two or more types of defects. The ratio of the number of needles with any defect to that of needles without any defect varied among brands, ranging from 50% to 100%. Regarding foreign materials, higher proportions of Si and O were observed on the needles, indicating incomplete or detached silicone coating. Conclusion: The quality of acupuncture needles varied among brands, suggesting that further improvements can be made through various inspection methods.

• 한국구조물진단유지관리공학회 논문집
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• 제18권5호
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• pp.1-8
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• 2014

본 연구에서는 유황을 폴리머화하여 내화학성능이 요구되는 구조물의 콘크리트 표면보호재로 활용할 수 있도록 성능을 검토하였다. 평가 결과, 유황폴리머 표면도포재의 중력식 스프레이가 적절한 것으로 나타났으며, 도포횟수는 왕복 3회 이상 도포했을 때 1MPa 이상의 부착강도 확보가 가능하였다. 표면보호재가 도포될 콘크리트 표면조건은 상온조건 ($20{\sim}30^{\circ}C$) 이상에서 높은 부착강도를 나타내었으며, 온도가 높을수록 부착강도가 증가하였다. 표면보호재의 채움재 혼입량에 따른 강도특성 평가결과, 20~40% 정도 혼입된 채움재는 유황폴리머의 수축을 저감시키는 효과를 나타내어 강도 향상에 기여하였다. 또한, 플라이애시 보다는 규사 혼입시 부착강도가 높았고, 동시 혼입시 가장 우수한 부착강도 특성을 나타내었다. 화학저항성은 플라이애시 및 규사를 각각 20% 대체한 배합에서 부착강도 저하가 최소로 되어 우수한 내화학성을 나타내었다. 염소이온 침투에 대한 성능평가를 수행한 결과, 표면보호재를 도포하지 않은 시험체에 비하여 유황폴리머 표면보호재를 도포한 경우, 29~48% 정도 염소이온침투저항성이 증대되었다. 표면보호재의 도포조건, 압축강도, 부착강도, 화학저항성, 염해저항성 등을 모두 고려하여 볼 때, 본 연구범위에서는 유황폴리머에 채움재로서 규사와 플라이애시를 각각 20%씩 대체하는 것이 적절한 수준인 것으로 판단된다.

• 한국안전학회지
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• 제9권1호
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• pp.28-30
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• 1994

Ultrasonic for MoSi$_2$/Y. C. Kim, C. K. Namkoong/MoSi$_2$in the silicides has excellence in the oxidation and corrosion resistence. When the solid state bonding sintered-MoSi$_2$/metal or the thermal sprayed coating by powder-MoSi$_2$on the metal are carried out, the defects may be occured at the bonded surface. So, the method for evaluating the existence of the defects by non-destructive inspection is strongly desired. Here, the characteristics of ultrasonic for sintered-MoSi$_2$are elucidated and the possibility of the detection of defects using by ultrasonic is investigated.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.1
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• pp.472-475
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• 2003

In this paper, insulating varnish has been used for field magnet and armature impregnated insulating material of electric locomotive and traction motor. When it was duplicated coating, it could be accuse internal void, and which could change electrical characteristics. We used to boundary elemental method of simulation tool, and improved optimal insulating design of insulating varnish according to measuring electric distribution in void of specimen.

• 한국수산과학회지
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• 제49권3호
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• pp.293-300
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• 2016

In the present study, we investigated the quality, sensory characteristics and commercialization potential of a rice collet snack made with the addition of dried shrimp. “Mild” and “spicy” snack products were produced with an edible oil coating and mixed seasoning powder coating, respectively. The approximate composition of the mild and spicy snacks, respectively, were 2.44% and 2.24% for moisture, 8.52% and 8.64% for crude protein, 18.36% and 26.54% for crude lipids, 1.28% and 1.38% for ash, 1.1% and 1.2% for salt, and 0.61 and 0.62 for pH. The L (lightness), a (redness), b (yellowness), and ⊿E (color difference) values were higher for the mild snack than the spicy snack. The mild and spicy snack had values of 7,776.4 and 7,655.8 mg/100 g for total amino acids, and 221.6 and 253.5 mg/100 g for total free amino acids, respectively. The TBA (thiobarbituric acid) value did not differ significantly between the two types of snack. The hardness value of the spicy snack was higher than that of the mild snack, but there were no significant differences in flavor between the two products. The sensory evaluation score of the spicy snack was slightly higher than that of the mild snack. Organoleptic inspection indicated that both snacks had a favorable, unique taste.

• 한국건설순환자원학회논문집
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• 제5권1호
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• pp.53-58
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• 2017

FRP Hybrid Bar는 내부에 강재를 유리섬유와 에폭시 수지가 코팅된 형태로 사용되는데, 인장경화 성능이 있으며, 경량이므로 효과적인 보강재료로 사용될 수 있다. 자외선 및 동결융해에 노출된 에폭시는 표면 열화가 발생하기 쉬우며, 이는 매립된 철근 및 표면의 콘크리트와의 부착력 저하를 야기할 수 있다. 본 연구에서는 일반철근, FRP Hybrid Bar 및 자외선(UV) 폭로시험을 거친 FRP Hybrid Bar의 외관특성분석을 실시하였다. 또한 각 보강재를 사용하여 콘크리트 인발 공시체를 제조하였으며, 동결융해시험을 실시해 Cycle에 따른 부착성능을 분석하였다. FRP Hybrid Bar는 UV 폭로시험 후에도 표면 산화(Chalking)와 같은 에폭시계 재료의 열화가 나타나지 않았다. 동결융해시험은 120Cycle 및 180Cycle까지 진행하였는데, UV 폭로시험 후 FRP Hybrid Bar를 사용한 공시체는 $241{\pm}kN$ 부착력을 가지고 있었다. 이는 일반철근 대비 약 106.3%수준으로 개선된 부착강도인데, FRP Hybrid Bar 표면의 규사코팅에 따라 부착면적이 증가했기 때문이다. 3가지 조건(일반철근, FRP Hybrid Bar, UV 폭로시험 후의 FRP Hybrid Bar)에 대하여, 동결융해 Cycle이 증가함에 따라 부착력이 크게 감소하지는 않았으나, 코팅된 규사의 박락으로 인해 UV 시험 이후의 동결융해를 거친 조건에서는 실험 편차가 상대적으로 증가하였다.