• 대한기계학회논문집B
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• 제30권10호
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• pp.950-956
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• 2006

A mathematical heat transfer model for the prediction of heat flux on the slab surface and temperature distribution in the slab has been developed by considering the thermal radiation in the furnace and transient conduction governing equations in the slab, respectively. The furnace is modeled as radiating medium with spatially varying temperature and constant absorption coefficient. The slab is moved with constant speed through non-firing, charging, preheating, heating, and soaking zones in the furnace. Radiative heat flux which is calculated from the radiative heat exchange within the furnace modeled using the FVM by considering the effect of furnace wall, slab, and combustion gases is applied as the boundary condition of the transient conduction equation of the slab. Heat transfer characteristics and temperature behavior of the slab is investigated by changing such parameters as absorption coefficient and emissivity of the slab. Comparison with the experimental work shows that the present heat transfer model works well for the prediction of thermal behavior of the slab in the reheating furnace.

• 한국연소학회지
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• 제14권4호
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• pp.33-40
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• 2009

Waste Thermal Pyrolysis Melting process was proposed and has been studied in order to prevent air pollution by dioxin and fly ash generated from combustion process for disposal of waste. In this study, applicability as the fuel of diffusion burner of synthesis gas formed from Waste Thermal Pyrolysis process was addressed. Results showed that there is no big difference in the flame shape between MNDF and SNDF, and lift off was detected in MIDF but flame is more stable in SIDF which contains hydrogen with high combustion velocity as flow rate in first nozzle is increased. And radiation heat flux in inverse diffusion flame of synthesis gas was found to be more by 1.5 times than that in inverse diffusion flame of methane because of higher mole fraction of $CO_2$ with high emissivity in product gas.

• 한국군사과학기술학회지
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• 제17권2호
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• pp.197-203
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• 2014

In this paper, the effect of unsteady radiation on the horizontal fin of an external fuel tank by flame of a flying flare was analysed to see the temperature increase of the fin and the thermal impact on the fin. Radiation between two surfaces was calculated using the concept of radiation resistance of surface and space including radiation, irradiation and shape factor for two flying trajectories of a flare, maximum temperature of 2200 K, emissivity of 0.95, flying velocity of 30 m/s, and thermal surface area of $0.01m^2$. The result shows that the temperature increase of the fin is 0.236 K, and the thermal effect on the fin is ignorable. And it was found that temperature is increased a little because small amount of heat energy can be radiated due to the short exposure time to the heat source.

• 비파괴검사학회지
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• 제34권3호
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• pp.248-253
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• 2014

카메라 영상 캘리브레이션은 머신비전과 같은 비전검사기술분야에서 영상으로부터 기하학적 정보를 정확하게 추출하고자 할 때 정확성을 높이는데 필요한 매우 중요한 과정이다. 그러나 기존에 가시광 카메라에 사용되던 캘리브레이션 타겟은 중적외선, 원적외선 열화상 카메라에 적용하기 어렵다. 최근에 적외선 열화상카메라를 이용한 결함측정기술이 많이 사용되면서 적용할 수 있는 캘리브레이션 타겟 개발이 요구되고 있다. 따라서 본고에서는 유한요소 열전달 해석을 이용하여 가시광 카메라와 적외선 열화상카메라 모두에 적용 가능한 캘리브레이션 타겟을 제안하였다. 개발된 캘리브레이션 타겟을 열화상카메라와 가시광 카메라로 촬영하여 비교실험 하였으며, 실험결과 제안된 캘리브레이션 타겟의 효율성을 보여준다.

• 대한기계학회논문집
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• 제8권2호
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• pp.145-153
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• 1984

본 연구에서는 먼저 집열기의 열성능에 관한 가장 전형적인 Hottel-Whillier- Bliss의 모델을 사용하여 모의 실험을 수행하였다. 모의 실험에 사용한 집열기의 주 요 변수는 덮개 유리의 수(N), 집열판의 방사율(.epsilon.$_{p}$), 집열판의 흡수율(.alpha.$_{p}$T),집열기 단위 면적당의 유량(G), 집열기 단열재의 $L_{b}$/ $K_{b}$, 집열기 경사각 (S),일사량(I) 등이며 이들 집열기 변수의 대표치(typical values)를 중심으로 각 변 수의 값을 변화시켜서 여기에 따른 집열기 효율 곡선의 변화를 조사하였다. 모의 실 험결과와 비교하고, 모의 실험에 사용한 수학적 모델이 집열기의 열성능을 평가하는 데에 적합한가를 확인하고, 운전중에 인위적으로 그 값을 조절할 수 있는 운전 변수중 특히 유량(G)의 변화에 따른 집열기 효율변화와 최적유량의 범위를 동시에 실험적으로 조사하기 위하여, 액체 가열식 집열기 시험장치의 회로를 보완하여 실제 태양 아래에 서 실험을 수행하였다.

• 한국분말재료학회지
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• 제29권6호
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• pp.477-484
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• 2022

Thermal protection systems (TPS) are a group of materials that are indispensable for protecting spacecraft from the aerodynamic heating occurring during entry into an atmosphere. Among candidate materials for TPS, ceramic insulation materials are usually considered for reusable TPS. In this study, ceramic insulation materials, such as alumina enhanced thermal barrier (AETB), are fabricated via typical ceramic processing from ceramic fiber and additives. Mixtures of silica and alumina fibers are used as raw materials, with the addition of B4C to bind fibers together. Reaction-cured glass is also added on top of AETB to induce water-proof functionality or high emissivity. Some issues, such as the elimination of clumps in the AETB, and processing difficulties in the production of reusable surface insulation are reported as well.

• 항공우주시스템공학회지
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• 제17권4호
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• pp.1-9
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• 2023

최근 위성의 SAR(Synthetic Aperture Radar), 통신 및 신호 감시 임무가 고도화됨에 따라 경량화 및 전개 면적 대비 수납효율이 우수한 전개형 메쉬 안테나에 관한 연구가 활발히 수행되고 있다. 전개형 메쉬 안테나는 임무 주파수대역이 증가함에 따라 메쉬 제직 밀도의 척도인 OPI(Openings Per Inch)의 수가 증가하는 특징이 있으며, 이러한 OPI 변화는 메쉬의 광학물성 특성에 직접적인 영향을 미치므로 이에대한 연구가 필수적이다. 본 논문에서는 메쉬의 광학 물성치와 반사판에 대한 열적 관계를 검증하기 위해 기존 해외 연구사례를 바탕으로 메쉬의 다양한 광학적 특성에 따른 궤도 열해석 통해 메쉬와 안테나간의 열적 민감도 분석과 메쉬 반사판의 온도구배 영향성 분석을 수행하였다.

• Journal of Animal Science and Technology
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• 제66권1호
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• pp.31-56
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• 2024

Pig farming, a vital industry, necessitates proactive measures for early disease detection and crush symptom monitoring to ensure optimum pig health and safety. This review explores advanced thermal sensing technologies and computer vision-based thermal imaging techniques employed for pig disease and piglet crush symptom monitoring on pig farms. Infrared thermography (IRT) is a non-invasive and efficient technology for measuring pig body temperature, providing advantages such as non-destructive, long-distance, and high-sensitivity measurements. Unlike traditional methods, IRT offers a quick and labor-saving approach to acquiring physiological data impacted by environmental temperature, crucial for understanding pig body physiology and metabolism. IRT aids in early disease detection, respiratory health monitoring, and evaluating vaccination effectiveness. Challenges include body surface emissivity variations affecting measurement accuracy. Thermal imaging and deep learning algorithms are used for pig behavior recognition, with the dorsal plane effective for stress detection. Remote health monitoring through thermal imaging, deep learning, and wearable devices facilitates non-invasive assessment of pig health, minimizing medication use. Integration of advanced sensors, thermal imaging, and deep learning shows potential for disease detection and improvement in pig farming, but challenges and ethical considerations must be addressed for successful implementation. This review summarizes the state-of-the-art technologies used in the pig farming industry, including computer vision algorithms such as object detection, image segmentation, and deep learning techniques. It also discusses the benefits and limitations of IRT technology, providing an overview of the current research field. This study provides valuable insights for researchers and farmers regarding IRT application in pig production, highlighting notable approaches and the latest research findings in this field.

• Journal of Astronomy and Space Sciences
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• 제13권2호
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• pp.105-116
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• 1996

이 연구는 1992년 8월 11일과 1993년 9월 26일 발사된 우리별 1호 및 우리별 2호의 열제어 모델 및 그 동안의 운용 결과에 대한 해석을 바탕으로 한 것이다. 우리별 1, 2호는 아리안 발사체의 초소형 위성 탑재를 위한 특수 구조물에 장착되어 발사되었기 때문에 크기, 전력, 무게 등의 제한으로 인해 외부로부터의 열 흡수와 방출의 제어 및 내부의 연결 모듈간의 열 흐름을 제어하여 위성체 전반의 열적 환경을 조절하는 수동적인 방식의 열제어를 채택하게 되었다. 우리별 위성의 주 임무는 위성 기술의 개발과 더불어 위성체 바닥면에 탑재된 CCD 카메라를 이용하여 지구 표면을 촬영하는 것이었기 때문에 위성의 바닥면은 항상 지구의 중심을 향하고 있게 된다. 이 연구는 위성의 임무 궤도에 대한 분석으로부터 열 모델링, 시뮬레이션 결과 및 우리별 2호의 실제 운용헤서 얻어진 원격검침 정보를 바탕으로 한 열 모델의 평가를 포함한다. 이 분석 결과를 바탕으로 수동 제어에 의한 우리별 위성의 열 모델 및 해석이 실제 측정된 온도 데이터와 평균 오차 $$10^{\circ}C$ 이내에서 일치되었음을 보여 준다.

• 대한원격탐사학회지
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• 제27권6호
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• pp.653-662
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• 2011

Land surface temperature (LST) is a one of the key variables of land surface which can be estimated from geostationary meteorological satellite. In this study, we have developed the three sets of LST retrieval algorithm from MTSAT-2 data through the radiative transfer simulations under various atmospheric profiles (TIGR data), satellite zenith angle, spectral emissivity, and surface lapse rate conditions using MODTRAN 4. The three LST algorithms are daytime, nighttime and total LST algorithms. The weighting method based on the solar zenith angle is developed for the consistent retrieval of LST at the early morning and evening time. The spectral emissivity of two thermal infrared channels is estimated by using vegetation coverage method with land cover map and 15-day normalized vegetation index data. In general, the three LST algorithms well estimated the LST without regard to the satellite zenith angle, water vapour amount, and surface lapse rate. However, the daytime LST algorithm shows a large bias especially for the warm LST (> 300 K) at day time conditions. The night LST algorithm shows a relatively large error for the LST (260 ~ 280K) at the night time conditions. The sensitivity analysis showed that the performance of weighting method is clearly improved regardless of the impacting conditions although the improvements of the weighted LST compared to the total LST are quite different according to the atmospheric and surface lapse rate conditions. The validation results of daytime (nighttime) LST with MODIS LST showed that the correlation coefficients, bias and RMSE are about 0.62~0.93 (0.44~0.83), -1.47~1.53 (-1.80~0.17), and 2.25~4.77 (2.15~4.27), respectively. However, the performance of daytime/nighttime LST algorithms is slightly degraded compared to that of the total LST algorithm.