• 제목/요약/키워드: temperature mapping

검색결과 233건 처리시간 0.024초

기계적 합금화한 Ni-W(WC)의 미세구조 및 특성 (Microstructure and Characteristics of Mechanically Alloyed Ni-W(WC))

  • 신수철;장건익
    • 한국재료학회지
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    • 제8권12호
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    • pp.1133-1137
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    • 1998
  • MCFC(Molten Carbonate Fuel Cell) 작동온도인 $650^{\circ}C$에서 Ni 음극의 Creep 및 소결에 대한 저항성을 개선시키고자 Ni-W(WC) 복합재료를 기계적 합금법으로 제조하였다. 기계적 합금화한 분말의 XRD분석결과 밀링시간이 증가함에 따라 재료의 규칙적인 결정이 파괴되어 비정질화 되어가는 경향을 보였다. 소결은 $1280^{\circ}C$의 수소분위기에서 10시간 행하였다 소결된 시편의 dot-mapping 및 TEM 분석결과 Ni-W 계면에서의 2차상 관찰되지 않았으나 $0.1\mu\textrm{m}$ 이하의 W이 Ni 기지내에 미세하고 균일하게 분포되어 있는 것으로 나타났다. 이와같이 미세하고 균일하게 분포되어 있는 W은 고용강화 및 분산강화 효과를 통하여 Ni음극의 기계적 특성을 향상시킬 것으로 기대된다.

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도시기후지도의 작성 -상계 4동을 중심으로- (Urban Climate Mapping - The Case of Sanggye 4-Dong -)

  • 송영배
    • 한국조경학회지
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    • 제29권6호
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    • pp.27-36
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    • 2002
  • The objective of this study is to improve the quality of the atmospheric environment by incorporating the factors of meteorology and urban climate into the field of urban and environmental planning. To this end, we have conducted a study on CLIMATOP and the mapping of urban climate, which are basic data used to analyze changes in climatic factors and the stagnation and accumulation of air pollutants. In particular, we focused on understanding the formation and movement of cold fresh air and its influx into urban areas by measuring and analyzing climatic factors. As a study result, classification criteria far CLIMATOP and a urban climatic map were made. In addition, we analyzed a digital elevation model, climatic data, and isothermal curves. As a result, we identified the corridor through which cold fresh air moves. We also observed that the temperature of the fluxed cold fresh air increased as land use changed. When the results of this study are applied to urban re-development and re-building projects, which require preliminary environmental assessment and environmental impact assessment, the practice proposed by this study is expected to contribute to the natural purification of air pollution activating the movement of cold fresh air and its influx into urban areas.

Ecological land cover classification of the Korean peninsula Ecological land cover classification of the Korean peninsula

  • Kim, Won-Joo;Lee, Seung-Gu;Kim, Sang-Wook;Park, Chong-Hwa
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.679-681
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    • 2003
  • The objectives of this research are as follows. First, to investigate methods for a national-scale land cover map based on multi-temporal classification of MODIS data and multi-spectral classification of Landsat TM data. Second, to investigate methods to p roduce ecological zone maps of Korea based on vegetation, climate, and topographic characteristics. The results of this research can be summarized as follows. First, NDVI and EVI of MODIS can be used to ecological mapping of the country by using monthly phenological characteris tics. Second, it was found that EVI is better than NDVI in terms of atmospheric correction and vegetation mapping of dense forests of the country. Third, several ecological zones of the country can be identified from the VI maps, but exact labeling requires much field works, and sufficient field data and macro-environmental data of the country. Finally, relationship between land cover types and natural environmental factors such as temperature, precipitation, elevation, and slope could be identified.

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고 탄소 미세 강선의 기계적 특성에 미치는 잔류 응력과 표면 결함의 영향 (Effects of Residual Stress and Surface Defect on the Mechanical Properties of the High Carbon Steel Filaments)

  • 양요셉;배종구;박찬경
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2008년도 추계학술대회 논문집
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    • pp.134-137
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    • 2008
  • The effects of residual stress and surface defects on the mechanical properties of the high carbon steel filament used for the automotive tire have been experimentally investigated. The samples were fabricated with annealing temperature. The residual stress was measured by focused ion beam and strain mapping software which has advantages, such as data with high accuracy and fast data acquisition time. Mechanical properties, such as tensile strength and fatigue resistance, were gradually increased up to $200^{\circ}C$ and then slightly decreased. From the measurement of residual stress and level of surface defect, it was revealed that the critical factor was varied with different temperature region. That is, the fatigue resistance increased due to decreasing the residual stress and decreased due to increasing the size and distribution of surface defect.

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에피택셜 VO2 박막의 상전이에 대한 미시적 이해 (Nanoscopic Understanding of Phase Transition of Epitaxial VO2 Thin Films)

  • 김동욱;손아름
    • 한국표면공학회지
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    • 제50권3호
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    • pp.141-146
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    • 2017
  • We investigated configuration of metallic and insulating domains in $VO_2$ thin films, while spanning metal-insulator phase transition. Kelvin probe force microscopy, of which spatial resolution is less than 100 nm, enables us to measure local work function (WF) at the sample surface. The WF of $VO_2$ thin films decreased (increased) as increasing (decreasing) the sample temperature, during the phase transition. The higher and lower WF regions corresponded to the insulating and metallic domains, respectively. The metallic fraction, estimated from the WF maps, well explained the temperature-dependent resistivity based on the percolation model. The WF mapping also showed us how the structural defects affected the phase transition behaviors.

Xanthomonas sp. YL-37의 Alkaline Protease 유전자의 클로닝 (Cloning of a Alkaline Protease Gene from Xanthomonas sp. YL-37)

  • 이대희;김수경;이승철;윤병대;황용일
    • 한국미생물·생명공학회지
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    • 제23권2호
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    • pp.145-149
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    • 1995
  • For the purpose of developing a new biodegradable detergent, we have isolated a gene encoding wide-range temperature applicable alkaline protease from Xanthomonas sp. YL-37 (Lee et al., 1994, Kor. J. Appl. Microbiol. Biotechnol.). An alkaline protease gene was isolated from the gene bank that was prepared from the chromosomal DNA of Xanthomonas sp. YL-37. From the results of agarose gel electrophoresis and a restriction enzyme mapping, a 2.7 kb DNA fragment containing the alkaline protease gene was inserted in the plasmid pUC9. Extracellular activity of a clone having alkaline protease gene was detected on SDS-polyacrylamide gel with activity staining assay. The molecular weight of alkaline protease was determined to be about 64 kDa from 11% SDS-PAGE analysis. Alkaline protease activity, produced from E. coli which harboring the plasmid, showed no difference at reaction temperature 20, 30 and 40$\circ$C, respectively. This result showed that alkaline protease produced from E. coli harboring the plasmid was apparently the same as that of Xanthomonas sp. YL-37.

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퇴적층 물성이 가스하이드레이트 생산성에 미치는 영향 연구 (A Study on the Gas Hydrate Productivity on the Sediment Properties)

  • 박승수;주우성;한정민;이계정;이정환
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 추계학술대회 논문집
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    • pp.192-195
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    • 2008
  • Conventional gas deposits consist of pressurized gas held in porous and permeable reservoir rocks and its recovery takes place where the natural pressure of the gas reservoir forces gas to the surface. But gas hydrate is a crystalline solid, its prospects require reservoir rock properties approprate porosity, permeability with mapping of temperature and pressure conditions to define the hydrate stability zone. In this study, we have carried out to investigate the dissociation characteristics of methane hydrates and the productivities of dissociated gas and water with depressurization scheme. Also, it has been conducted the flowing behavior of the dissociated gas and water in porous rock and the efficiency of the production.

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확률 및 통계이론 기반 태양광 발전 시스템의 동적 모델링에 관한 연구 (A Study on Dynamic Modeling of Photovoltaic Power Generator Systems using Probability and Statistics Theories)

  • 조현철
    • 전기학회논문지
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    • 제61권7호
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    • pp.1007-1013
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    • 2012
  • Modeling of photovoltaic power systems is significant to analytically predict its dynamics in practical applications. This paper presents a novel modeling algorithm of such system by using probability and statistic theories. We first establish a linear model basically composed of Fourier parameter sets for mapping the input/output variable of photovoltaic systems. The proposed model includes solar irradiation and ambient temperature of photovoltaic modules as an input vector and the inverter power output is estimated sequentially. We deal with these measurements as random variables and derive a parameter learning algorithm of the model in terms of statistics. Our learning algorithm requires computation of an expectation and joint expectation against solar irradiation and ambient temperature, which are analytically solved from the integral calculus. For testing the proposed modeling algorithm, we utilize realistic measurement data sets obtained from the Seokwang Solar power plant in Youngcheon, Korea. We demonstrate reliability and superiority of the proposed photovoltaic system model by observing error signals between a practical system output and its estimation.

20cm 상온 보아를 갖는 MRI용 초전도 마그네트의 제작 및 평가 (Fabrication and test of MRI superconducting magnet with 20cm room temperature bore)

  • 진홍범;오봉환;조전욱;오상수;권영길;하동우;이언용;류경우;류강식;나완수;김성래;한일용
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 A
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    • pp.153-155
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    • 1995
  • We fabricated superconducting magnet for MRI and tested it using automatic field mapping system. This magnet has 20cm diameter of room temperature bore for the sample access. In this paper, the fabrication of MRI magnet system and the test results of field homogeneity are described.

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Structural novelty detection based on sparse autoencoders and control charts

  • Finotti, Rafaelle P.;Gentile, Carmelo;Barbosa, Flavio;Cury, Alexandre
    • Structural Engineering and Mechanics
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    • 제81권5호
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    • pp.647-664
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    • 2022
  • The powerful data mapping capability of computational deep learning methods has been recently explored in academic works to develop strategies for structural health monitoring through appropriate characterization of dynamic responses. In many cases, these studies concern laboratory prototypes and finite element models to validate the proposed methodologies. Therefore, the present work aims to investigate the capability of a deep learning algorithm called Sparse Autoencoder (SAE) specifically focused on detecting structural alterations in real-case studies. The idea is to characterize the dynamic responses via SAE models and, subsequently, to detect the onset of abnormal behavior through the Shewhart T control chart, calculated with SAE extracted features. The anomaly detection approach is exemplified using data from the Z24 bridge, a classical benchmark, and data from the continuous monitoring of the San Vittore bell-tower, Italy. In both cases, the influence of temperature is also evaluated. The proposed approach achieved good performance, detecting structural changes even under temperature variations.