• 한국환경농학회:학술대회논문집
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• 한국환경농학회 2009년도 정기총회 및 국제심포지엄
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• pp.119-126
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• 2009

In recent years, research at the Environmental Microbial and Food Safety Laboratory (EMFSL), Agricultural Research Service (ARS) has focused on the development of novel image-based sensing technologies to address agro-food safety concerns, and transformation of these novel technologies into practical instrumentation for industrial implementations. The line-scan-based hyperspectral imaging techniques have often served as a research tool to develop rapid multispectral methods based on only a few spectral bands for rapid online applications. We developed a newer line-scan hyperspectral imaging platform for high-speed inspection on high-throughput processing lines, capable of simultaneous multiple inspection algorithms for different agro-food safety problems such as poultry carcass inspection for wholesomeness and apple inspection for fecal contamination and defect detection. In addition, portable imaging devices were developed for in situ identification of contamination sites and for use by agrofood producer and processor operations for cleaning and sanitation inspection of food processing surfaces. The aim of this presentation is to illustrate recent advances in the above agro.food safety sensing technologies.

• Smart Structures and Systems
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• 제26권4호
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• pp.507-520
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• 2020

In order to achieve effective corrosion monitoring of buried metal pipelines, a Novel nondestructive Testing (NDT) methodology using ultra-long (250 mm) Polymer Optical Fiber (POF) sensors coated with the Fe-C alloy film is proposed in this study. The theoretical principle is investigated to clarify the monitoring mechanism of this method, and the detailed fabrication process of this novel POF sensor is presented. To validate the feasibility of this novel POF sensor, exploratory research of the proposed method was performed using simulated corrosion tests. For simplicity, the geometric shape of the buried pipeline was simulated as a round hot-rolled plain steel bar. A thin nickel layer was applied as the inner plated layer, and the Fe-C alloy film was coated using an electroless plating technique to precisely control the thickness of the alloy film. In the end, systematic sensitivity analysis on corrosion severity was further performed with experimental studies on three sensors fabricated with different metal layer thicknesses of 25 ㎛, 30 ㎛ and 35 ㎛. The experimental observation demonstrated that the sensor coated with 25 ㎛ Fe-C alloy film presented the highest effectiveness with the corrosion sensitivity of 0.3364 mV/g at Δm = 9.32 × 10^-4 g in Stage I and 0.0121 mV/g in Stage III. The research findings indicate that the detection accuracy of the novel POF sensor proposed in this study is satisfying. Moreover, the simple fabrication of the high-sensitivity sensor makes it cost-effective and suitable for the on-site corrosion monitoring of buried metal pipelines.

• Journal of Magnetics
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• 제16권1호
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• pp.36-41
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• 2011

If gas is leaking out of gas pipelines, it could cause a huge explosion. Accordingly, it is important to ensure the integrity of gas pipelines. Traditionally, over the years, gas-operating companies have used the ILI system, which is based on axial magnetic flux leakage (MFL), to inspect the gas pipelines. Relatively, there is a low probability of detection (POD) for the axial defects with the axial MFL-based ILI. To prevent the buried pipeline from corrosion, it requires a protective coating. In addition to the potential damage to the coating by environmental factors and external forces, there could be defects on the damaged coating area. Thus, it is essential that nondestructive evaluation methods for detecting axial defects (axial cracks, axial groove) and damaged coating be developed. In this study, an electromagnetic acoustic transducer (EMAT) sensor was designed and fabricated for detecting axial defects and coating disbondment. In order to validate the performances of the developed EMAT sensor, experiments were performed with specimens from axial cracks, axial grooves, and coating disbondment. The experimental results showed that the developed EMAT sensor could detect not only the axial cracks (minimum 5% depth of wall thickness) and axial grooves (minimum 10% depth of wall thickness), but also the coating disbondment.

• Nuclear Engineering and Technology
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• 제53권9호
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• pp.2982-2989
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• 2021

One of the consequences of the 475 ℃ embrittlement of duplex stainless steels is the reduction of the resistance to localized corrosion. Therefore, the detection of this type of embrittlement before the material exhibits significant loss in toughness, and corrosion resistance is important to ensure the structural integrity of critical components under corrosion threats. In this research, conductivity measurements are performed using the alternating current potential drop (ACPD) technique with using a portable four-point probe as a nondestructive evaluation (NDE) method for detecting the embrittlement in a 2507 (UNS S32750) super duplex stainless steel (SDSS) aged at 475 ℃ from as-received condition to 300 h. The electric conductivity results were compared against two electrochemical tests namely double loop electrochemical potentiokinetic reactivation (DL-EPR) and critical pitting temperature (CPT). Mechanical tests and the microstructure characterized using scanning electron microscopy (SEM) imaging are conducted to track the progress of embrittlement. It is shown that the electric conductivity correlates with the changes in impact energy, microhardness, and CPT corrosion tests result demonstrating the feasibility of the four-point probe as a possible field-deployable method for evaluating the 475 ℃ embrittlement of 2507 SDSS.

• 대한방사선기술학회지:방사선기술과학
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• 제28권1호
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• pp.13-17
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• 2005

최근 비파괴검사 현장에서 검사 중 검사장치 내 방사선원의 위치를 확인하지 못하여 방사선 과피폭 사고가 종종 발생하고 있다. 본 연구는 방사선원의 노출여부나 위치 미인지로 인한 방사선 사고를 예방하기 위해 방사선원위치를 감시할 수 있는 섬광필름을 개발하는데 있다. 섬광필름은 방사선 비파괴 검사 장비의 가이드튜브 내에 존재하는 선원의 위치를 육안으로 탐지할 수 있는 신소재이다. 연구를 통해 섬광필름의 발광성능을 평가하고 최적의 필름 설계를 꾀하였다. 필름에 적용된 발광물질은 무기 섬광체를 이용하였고, 다양한 층을 갖는 형태의 필름을 제작하여 성능을 평가하였다. 필름의 발광성능은 광도계를 이용하여 측정하였고, 비파괴 검사장비는 Ir-192 감마선 조사기를 사용하였다. 실험결과, 섬광필름의 발광은 육안으로 선원의 위치를 감시할 수 있었으며, 선원의 이동에 따라서 발광영역도 동시에 이동하면서 형성되었다. 또한, 섬광필름에 반사층을 두는 것은 광 이용률의 증대시켜 발광성능을 높이는 데 매우 효과적이었다. 섬광체와 분산용제의 혼합비에 따라서도 성능변화가 나타났으며, 일반적으로 섬광체의 양이 높을수록 발광성능은 높게 나타났다. 그러나 분산 특성이 변화로 혼합비는 일정 농도 이하로 제한되었다. 섬광체 중에서는 $Gd_2O_2S(Tb)$ 무기섬광체가 가장 높은 발광성능을 보여주었다. 개발된 섬광필름을 비파괴 검사 장비에 적용하게 된다면 방사선종사자에게 보다 안전한 작업환경을 제공할 수 있을 것이다.

• Journal of the Korean Wood Science and Technology
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• 제43권3호
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• pp.304-310
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• 2015

저장 또는 운송단계에서 목분에 포함된 수분의 부적절한 조절은 생물학적 열화로 인한 품질하락 및 손실을 야기할 수 있기 때문에 목분의 함수율은 정확하게 측정되어야 하고 적절하게 조절되어야 한다. 본 연구에서는 근적외선(파장 대역: 1000-2400 nm) 분광분석법을 적용하여 낙엽송(Larix kaempferi) 목분의 함수율을 측정하고자 하였다. 각 상대습도($25^{\circ}C$, RH 30~99%) 단계별로 조습된 목분의 근적외선 반사스펙트럼을 측정하고, 적정 수학적 전처리(smoothing, standard normal variate)와 부분최소자승법을 적용하여 예측모델을 개발하였다. 도출된 함수율 예측모델은 높은 신뢰도를 보였다($R^2$ = 0.94, RMSEP = 1.544). 본 연구에서 개발된 근적외선 분광분석법을 통하여 비파괴적이면서 정확하고 신속한 목분 함수율의 측정과 효율적인 목재이용을 견인할 수 있으리라 기대된다.

• 센서학회지
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• 제9권6호
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• pp.404-415
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• 2000

본 논문에서는 산불에 의한 가공송전선의 열화에 대한 몇 가지 특성들과 비파괴 검사를 다룬다. 노화된 ACSR 도체에 대한 대기부식과 전해부식과 같은 부식기구를 설명한 후에 부식검출에 대해서 기술한다. 솔레노이드 코일의 임피던스 해석을 통하여 와류센서가 도체의 싱한 결함과 국부부식을 검사하는데 유용하게 사용될 수 있음을 확인하였다. 시험 도체를 코일 내부에 삽입한 경우에 센서코일의 임피던스가 변하므로, 산불에 의해 초래된 열화 정도를 측정하는 것이 가능하였다. 인공화염에 의해 열화 된 몇 개의 시료들을 사용하여 인장강도, 신장율과 센서 임피던스가 측정되었다. 화염 기간을 어느 정도 증가시키면, 알루미늄 소선의 인장은 현저하게 감소하기 시작하나 아연도금 강소선은 약간의 아연층이 부식되지만 인장은 초기와 유사하게 유지하였다. 일반적으로 도체의 인장하중이 감소하고 반대로 신장율이 증가하면 센서 임피던스는 감소하는 것을 알 수 있었다. 따라서, 센서의 출력은 도체의 기계적 특성 변화를 나타내므로 이 센서는 산등성이에 가설된 ACSR 도체에 대해 산불로 인한 열화상태를 검출하는데 이용할 수 있다. 결국, 산불에 의한 심한 열화상태에 대한 중요한 정보를 얻는데 솔레노이드 코일을 응용할 수 있다는 것을 확인하였다.

• 한국광학회지
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• 제33권5호
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• pp.218-229
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• 2022

실리콘 카바이드(SiC) 소재를 이용해서 위성용 대구경 망원경의 경량 반사경을 제작하는 과정에서 발생할 수 있는 결함과 SiC 소재의 기계 및 열적 특성을 조사했다. SiC 반사경 제작에는 advanced ceramic material (ACM) 공법이라고 불리는 탄소성형체를 이용한 액상 실리콘 침투 소결법 및 화학기상 증착법이 사용되었으며, 크기와 형상이 다른 네 가지 SiC 반사경을 개발했다. 반사경의 크기 및 형상에 따라 구분하여 광학 소재의 결함을 검사하는 기준과 방법을 체계적으로 제시했고, 경면 표면검사 및 소재 내부 결함 탐지를 위한 비파괴 검사법과 결과에 대해 분석했다. 또한, 반사경을 설계하고, 최종 완성품의 기계적 열적 안정성을 계산하고 예측하기 위해 필요한 밀도, 탄성계수, 비열, 열전달 계수 등을 포함한 14종의 물성 계수 측정값을 공인시험을 통해 추출했으며, 특히 측정 신뢰도 향상을 위해 주요 물성인 탄성계수, 열팽창 계수, 굽힘 강도 측정 방법과 결과에 대해 자세히 연구했다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1031-1031
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• 2001

The mammary gland is made up of remarkably sensitive tissue, which has the capability of producing a large volume of secretion, milk, under normal or healthy conditions. When bacteria enter the gland and establish an infection (mastitis), inflammation is initiated accompanied by an influx of white cells from the blood stream, by altered secretory function, and changes in the volume and composition of secretion. Cell numbers in milk are closely associated with inflammation and udder health. These somatic cell counts (SCC) are accepted as the international standard measurement of milk quality in dairy and for mastitis diagnosis. NIR Spectra of unhomogenized composite milk samples from 14 cows (healthy and mastitic), 7days after parturition and during the next 30 days of lactation were measured. Different multivariate analysis techniques were used to diagnose the disease at very early stage and determine how the spectral properties of milk vary with its composition and animal health. PLS model for prediction of somatic cell count (SCC) based on NIR milk spectra was made. The best accuracy of determination for the 1100-2500nm range was found using smoothed absorbance data and 10 PLS factors. The standard error of prediction for independent validation set of samples was 0.382, correlation coefficient 0.854 and the variation coefficient 7.63%. It has been found that SCC determination by NIR milk spectra was indirect and based on the related changes in milk composition. From the spectral changes, we learned that when mastitis occurred, the most significant factors that simultaneously influenced milk spectra were alteration of milk proteins and changes in ionic concentration of milk. It was consistent with the results we obtained further when applied 2DCOS. Two-dimensional correlation analysis of NIR milk spectra was done to assess the changes in milk composition, which occur when somatic cell count (SCC) levels vary. The synchronous correlation map revealed that when SCC increases, protein levels increase while water and lactose levels decrease. Results from the analysis of the asynchronous plot indicated that changes in water and fat absorptions occur before other milk components. In addition, the technique was used to assess the changes in milk during a period when SCC levels do not vary appreciably. Results indicated that milk components are in equilibrium and no appreciable change in a given component was seen with respect to another. This was found in both healthy and mastitic animals. However, milk components were found to vary with SCC content regardless of the range considered. This important finding demonstrates that 2-D correlation analysis may be used to track even subtle changes in milk composition in individual cows. To find out the right threshold for SCC when used for mastitis diagnosis at cow level, classification of milk samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two levels of SCC - 200 000 cells/$m\ell$ and 300 000 cells/$m\ell$, respectively, were set up and compared as thresholds to discriminate between healthy and mastitic cows. The best detection accuracy was found with 200 000 cells/$m\ell$ as threshold for mastitis and smoothed absorbance data: - 98% of the milk samples in the calibration set and 87% of the samples in the independent test set were correctly classified. When the spectral information was studied it was found that the successful mastitis diagnosis was based on reviling the spectral changes related to the corresponding changes in milk composition. NIRS combined with different ways of spectral data ruining can provide faster and nondestructive alternative to current methods for mastitis diagnosis and a new inside into disease understanding at molecular level.