• Title/Summary/Keyword: 온도장

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An Experimental Study on the Spontaneous Ignition of Flaxseed Oil and Olive Oil Adsorbed on Towels (타올에 흡착된 아마인유와 올리브유의 자연발화에 대한 실험적 연구)

  • Kim, Kyoung-Su;Choi, Yu-Jung;Choi, Jae-Wook
    • Journal of the Society of Disaster Information
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    • v.18 no.2
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    • pp.324-332
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    • 2022
  • Purpose: In order to conduct a spontaneous ignition test in which a fire occurs in the absence of an ignition source due to the oil adsorbed on the towel. A phenomenon in which spontaneous ignition occurs when adsorbed to fibers using flaxseed oil, which is drying oil and olive oil, which is non-drying oil, is tested through an experiment. Method: After placing the sample container in the experimental device, observe the change in the central temperature of the sample, and when the central temperature rises above the set temperature and a fire occurs, it is judged as "ignition", and the experiment is stopped after checking the maximum value of the central temperature of the sample,When the central temperature of the sample was maintained similar to the set temperature, it was judged as "non-ignition" and the experiment was stopped. Result: In the towels with adsorbed flaxseed oil, the temperature in the sample container increased rapidly and combustion occurred in sheets 5, 10, and 15. Olive oil is a non-drying oil, does not ignite because it is difficult to dry because carbon is a single bond and it is difficult to bond with oxygen. Conclusion: It was confirmed that the more the amount of towel adsorbed to the drying oil, flaxseed oil, the longer the time to reach the set temperature and the occurrence of ignition.

Spatial Distribution of Extremely Low Sea-Surface Temperature in the Global Ocean and Analysis of Data Visualization in Earth Science Textbooks (전구 대양의 극저 해수면온도 공간 분포와 지구과학교과서 데이터 시각화 분석)

  • Park, Kyung-Ae;Son, Yu-Mi
    • Journal of the Korean earth science society
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    • v.41 no.6
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    • pp.599-616
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    • 2020
  • Sea-surface temperature (SST) is one of the most important oceanic variables for understanding air-sea interactions, heat flux variations, and oceanic circulation in the global ocean. Extremely low SSTs from 0℃ down to -2℃ should be more important than other normal temperatures because of their notable roles in inducing and regulating global climate and environmental changes. To understand the temporal and spatial variability of such extremely low SSTs in the global ocean, the long-term SST climatology was calculated using the daily SST database of satellites observed for the period from 1982 to 2018. In addition, the locations of regions with extremely low surface temperatures of less than 0℃ and monthly variations of isothermal lines of 0℃ were investigated using World Ocean Atlas (WOA) climatology based on in-situ oceanic measurements. As a result, extremely low temperatures occupied considerable areas in polar regions such as the Arctic Ocean and Antarctic Ocean, and marginal seas at high latitudes. Six earth science textbooks were analyzed to investigate how these extremely low temperatures were visualized. In most textbooks, illustrations of SSTs began not from extremely low temperatures below 0℃ but from a relatively high temperature of 0℃ or higher, which prevented students from understanding of concepts and roles of the low SSTs. As data visualization is one of the key elements of data literacy, illustrations of the textbooks should be improved to ensure that SST data are adequately visualized in the textbooks. This study emphasized that oceanic literacy and data literacy could be cultivated and strengthened simultaneously through visualizations of oceanic big data by using satellite SST data and oceanic in-situ measurements.

The Effect of Gas Thermochemical Model on the Flowfield of Supersonic Rocket in Propulsive Flight (기체 열화학 모델이 연소 비행하는 초음속 로켓 유동장에 미치는 영향)

  • 최환석
    • Journal of the Korean Society of Propulsion Engineers
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    • v.6 no.1
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    • pp.12-20
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    • 2002
  • An integrated analysis of kerosine/LOX based KSR-III rocket body/plume flowfield has been performed. The analysis has been executed employing three kind of gas thermo-chemical models including calorically perfect gas, multiple species chemically reacting gas, and chemically frozen gas models and their effect on rocket flowfield has been accessed to provide the most appropriate gas thermo-chemical model which meets a specific purpose of performing rocket body and plume analysis. The finite-rate chemically reacting flow solution exhibited higher temperature throughout the flowfield than other gas models due to the increased combustion gas temperature caused by the chemical reactions within the nozzle. All the reactions were dominated only in the shear layer and behind the barrel shock reflection region where the gas temperature is high and the effect of finite-rate chemical reactions on the flowfield was found to be minor. However, the present plume computation including finite-rate chemical reactions revealed major reactions occurring in the plume and their reaction mechanisms and as well.

밀봉수주입 열교환기의 비정상 열전달 특성

  • 장근선;진승령;손용수
    • Proceedings of the Korean Nuclear Society Conference
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    • 1995.10a
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    • pp.352-357
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    • 1995
  • 원자력발전소 화학 및 체적제어계통의 일부인 밀봉수주입계통은 원자로 냉각재펌프 밀봉장치로 일정한 온도 범위의 밀봉수를 공급하여 밀봉장치의 건전성 및 원자로 냉각재 계통의 압력경계를 유지한다. 그러나 발전소 과도상태시 밀봉수 주입온도가 허용범위를 벗어나게 되면 온도조절기 폐쇄신호에 의해 밀봉장치로의 밀봉수 주입이 차단될 수 있다. 본 연구에서는 발전소 과도시에도 밀봉수 주입이 지속적으로 가능한 설계개선 방안으로 밀봉수주입 열교환기 주위에 우회라인을 설치하는 방안을 제시하고 밀봉수주입 열교환기 내에서의 비정상 열전달 현상을 수치해석을 이용하여 분석하였다. 계산은 속도장을 정상 상태인 power-law분포로 가정하고 시간 t=0에서 입구온도가 급격히 변하는 과도시 우회 유량 및 시간 변화에 대한 온도분포, 국부 Nusselt 수, 평균온도 등을 구하였다.

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A study of method to refrain from the winding temperature rising of three-phase induction motor (고압전동기 권선온도 냉각설비 개선 사례 연구)

  • Choi, In-Seok;Hong, Jeong-Jo;Lee, Eun-Chun;Hong, Young-Jae;Hong, Hyun-Pyo
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.831-832
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    • 2015
  • K-water에서는 대청댐 하류의 용수를 취수하여 대청광역 계통에 1일 98만㎥을 공급할수 있는 현도취수장을 운영하고 있다. 취수장에는 고압전동기 10대가 운영되고 있으며, 장시간 연속운전 및 하절기 주위온도 상승 등으로 권선온도가 상승되어 설비의 안전성 문제가 제기되어 왔다. 취수펌프동 실내온도 및 고압전동기 권선온도 저감을 위해 펌프동 배기시스템 운영시간 변경 및 고압전동기 냉각 흡기덕트 설치 등의 개선 노력으로 권선온도 저감은 물론 에너지절감 및 기기의 수명연장 등 설비 운영의 안전성을 확보한 연구결과이다.

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KOMPSAT 삼축자력계로부터 관측된 지구자기장 분석

  • 황종선;김성용;이선호;민경덕;김정우
    • Proceedings of the KSEEG Conference
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    • 2003.04a
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    • pp.143-149
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    • 2003
  • 다목적위성 1호(KOMPSAT-1, The first Korea Multi-Purpose Satellite)에 장착된 위성 자세제어용 3축 자력계(TAM, Three-Axis Magnetometer)로부터 2000년 6월 19일에서 21일 사이에 측정된 지구자기장을 분석하였다. TAM Telemetry 값을 지구관성좌표계에서 지구고정좌표계로 우선 변환시킨 후에 다시 구면좌표계로 변환하여 자료를 처리하였다. 지구자기장의 영향 이외의 위성내의 유도 전류나 온도변화로 인한 에러, 태양풍의 영향 등을 제거하였고 태양에 의한 영향을 제거하기 위해 제도를 지방시에 따라 상승 및 하강과 두 그룹으로 나눈 후 파동수대비법을 이용해 두 그룹 사이에 서로 역으로 대비되는 (inversely-correlated) 성분을 제거하였다. 측선 잡음을 제거하기 위하여 파동수 영역에서 Quadrant Swapping법을 도입하였고, 이로부터 연구 기간 중 최종적인 지구자기장을 추출하였다. KOMSAT TAM 으로부터 추출된 자기장의 주성분(corefield)을 동일 기간 중 KOMSAT과 유사한 고도에서 지구자기장 관측을 전문적으로 수행한 Ørsted 위성 관측값과 비교한 결과 이들 사이의 상관계수는 0.97로 매우 높게 나타났다 위성 자세보정용 자력계로 부터 관측된 자기장으로부터 신뢰도 있는 주성분 추출이 가능해짐에 따라 이로부터 전지구 구면조화계수를 유도할 경우 지구자기장 전문 관측위성이 존재하지 않는 기간 및 고도에 대한 자기장 연구가 가능하다.

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A Sensitivity Analysis of Design Parameters of an Underground Radioactive Waste Repository Using a Backpropagation Neural Network (Backpropagation 인공신경망을 이용한 지하 방사성폐기물 처분장 설계 인자의 민감도 분석)

  • Kwon, S.;Cho, W.J.
    • Tunnel and Underground Space
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    • v.19 no.3
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    • pp.203-212
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    • 2009
  • The prediction of near field behavior around an underground high-level radioactive waste repository is important for the repository design as well as the safety assessment. In this study, a sensitivity analysis for seven parameters consisted of design parameters and material properties was carried out using a three-dimensional finite difference code. From the sensitivity analysis, it was found that the effects of borehole spacing, tunnel spacing, cooling time and rock thermal conductivity were more significant than the other parameters. For getting a statistical distribution of buffer and rock temperatures around the repository, an artificial neural network, backpropagation, was applied. The reliability of the trained neural network was tested with the cases with randomly chosen input parameters. When the parameter variation is within ${\pm}10%$, the prediction from the network was found to be reliable with about a 1% error. It was possible to calculate the temperature distribution for many cases quickly with the trained neural network. The buffer and rock temperatures showed a normal distribution with means of $98^{\circ}C$ and $83.9^{\circ}C$ standard deviations of $3.82^{\circ}C$ and $3.67^{\circ}C$, respectively. Using the neural network, it was also possible to estimate the required change in design parameters for reducing the buffer and rock temperatures for $1^{\circ}C$.