• 한국가시화정보학회:학술대회논문집
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• 한국가시화정보학회 2004년도 추계학술대회 논문집
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• pp.52-55
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• 2004

Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. $1K\times1K$ CCD color camera and Xenon Lamp(500W) were used for the visualization of a Hele-Shaw cell. The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity. A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.

• 대한기계학회논문집B
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• 제20권10호
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• pp.3334-3343
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• 1996

A quantitative flow visualization technique was developed to measure velocity and temperature fields simultaneously in a two-dimensional cross section of thermo-fluid flows. Thermochromic liquid crystal(TLC) particles are used as temperature sensor and velocity tracers. Illuminating a thermo-fluid flow with a thin sheet of white light, the reflected colors from the TLC particles in the flow were captured simultaneously by two CCD cameras; a 3-chip CCD color camera for temperature field measurement and a black and white CCD camera for velocity field measurement. Variations of temperature field were measured by using a HSI true color image processing system and TLC solution. The relationship between the hue values of TLC color image and real temperature was obtained and this calibration curve was used to measure the true temperature under the same camera and illumination condition. The velocity field was obtained by using a 2-frame PTV technique using the concept of match-probability to track true velocity vectors from two consecutive image frames. These two techniques were applied at the same time to the unsteady thermal-fluid flow in a Hele-Shaw cell to measure the temperature and velocity field simultaneously and some results are discussed.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2015년도 제49회 하계 정기학술대회 초록집
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• pp.59.1-59.1
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• 2015

In the Linford group at Brigham Young University we have recently developed three new sets of materials for three different areas of separations science: thin layer chromatography (TLC), high performance liquid chromatography (HPLC), and solid phase microextraction (SPME). First, via microfabrication we have grown patterned carbon nanotube (CNT) forests on planar substrates that we have infiltrated with inorganic materials such as silicon nitride. The coatings on the CNTs are conformal and typically deposited in a process like low pressure chemical vapor deposition. The resulting materials have high surface areas, are porous, and function as effective separation devices, where separations on our new TLC plates are typically significantly faster than on conventional devices. Second, we used the layer-by-layer (electrostatically driven) deposition of poly (allylamine) and nanodiamond onto carbonized poly (divinylbenzene) microspheres to create superficially porous particles for HPLC. Many interesting classes of molecules have been separated with these particles, including various cannabinoids, pesticides, tricyclic antidepressants, etc. Third, we have developed new materials for SPME by sputtering silicon onto cylindrical fiber substrates in a way that creates shadowing of the incoming flux so that materials with high porosity are obtained. These materials are currently outperforming their commercial counterparts. Throughout this work, the new materials we have made have been characterized by X-ray photoelectron spectroscopy, time-of-flight secondary ion mass spectrometry, scanning electron microscopy, transmission electron microscopy, etc.

• Journal of Advanced Marine Engineering and Technology
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• 제29권2호
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• pp.209-216
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• 2005

Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. 1K $\times$ 1K CCD color camera and Xenon Lamp(500w) were used for the visualization of a Hele-Shaw cell The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.

• 공업화학
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• 제29권3호
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• pp.342-349
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• 2018

본 연구에서는 올리브 오일의 에스터 교환반응으로 생성된 복합소재(olive oil esters)의 화장품 응용을 위해 물리화학적 성질, 유화력, 보습력 및 세포독성을 평가하였다. 실험에는 반응시간이 짧은 olive oil esters S와 반응시간이 긴 olive oil esters L을 사용하였다. 먼저 TLC 이미지 분석으로 조성비를 확인한 결과, olive oil esters S의 조성은 mono-, di-, tri-glyceride가 5.2, 24.1, 46.4%이었고, fatty acid ethyl ester는 21.9%이었다. Olive oil esters L은 mono-, di-, tri-glyceride가 4.1, 24.7, 40.6%이었고, fatty acid ethyl ester는 28.8%이었다. 올리브 오일 에스터를 화장품에 사용하기 위한 기준 및 시험방법 설정을 위해 요오드가, 산가, 검화가, 불검화물, 굴절률, 비중 및 순도시험을 수행하였고 표준화시켰다. 또한 올리브 오일 에스터의 유화력 평가로서, 계면활성제 없이 O/W 에멀전을 제조하여 유화 입자를 확인하였다. 올리브 오일 에스터를 사람 피부에 도포 5일 후, 피부 수분 보유량은 초기보다 13.1% 개선되었다. 피부 세포에 대한 독성을 평가한 결과, 올리브 오일 에스터는 $0.2-200{\mu}g/mL$에서 세포 생존율 90% 이상을 나타내 안전성이 확인되었다. 결과적으로 올리브 오일 에스터는 화장품 산업에서 천연/무독성 원료로서 응용가능성이 있음을 시사하였다.