• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1997년도 춘계학술발표회논문집(1)
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• pp.362-367
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• 1997

To assess the coolability of particle bed, which is formed in reactor cavity, it is important to assess the prediction capabilities of Dryout Heat flux correlations. The existing DHF correlations (Sowa et al., Dhir-Catton (a), Dhir-Catton (b), Hardee-Nilson, Ostesen, Shires-Stevens, Lipinski, Jones et al., Dhir-Barleon, Theofanous-Saito, Henry-Fauske) for particle beds are assessed using developed DHF database. Eleven DHF correlations are chosen for assessment based on literature survey. Among them, five are based on flooding correlation, which are used for chemical engineering and others are based on conservation equations. The parameters in DHF correlations are directly substituted into correlations. Totally 202 data are classified into 6 groups based on bed thickness and particle diameter. In each group, prediction capabilities of correlations are assessed and shown by standard deviation and root mean square (RMS) error. Prediction capability of each correlation depends on the data group and none of correlations shows best prediction capability on entire groups. According to present study, even if those correlations show poor prediction capability, Lipinski correlation is best correlation considering entire groups.

• 한국대기환경학회지
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• 제16권5호
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• pp.445-451
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• 2000

To estimate dry deposition flux of 12 elements in aerosols, aerosol particles were sampled by a low-pressure impactor(LPI) and a dust jar. The concentrations of 12 elements in aerosol particle and dry deposition were analyzed by a PIXE analysis using as a 2.0 MeV-proton beam. The mean dry deposition velocities of 12 elements were estimated by ranges of 0.74∼2.62 cm/sec. The results showed that the highest value was 3.26 cm/sec for Ca and the lowest value 0.74 cm/sec for Fe. The dry deposition flux for elements was calculated as a function of particle size by 1-step method and 12-step method. In this work, dry deposition velocities were computed with the two existing models; the coarse-particle fraction(4∼30 mm diameter) using the dry deposition velocity model of the Noll and Fang(1998) and the fine-particle fraction (0.05∼4mm diameter) using the Shemel and Hodgson(1980) model. The ratios of the mean calculated/measured fluxes were 3.59 for 1-step method and 0.60 for 12-step method respectively.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2017년도 제48회 춘계학술대회논문집
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• pp.791-796
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• 2017

본 연구에서는 알루미늄 입자 크기에 따른 파라핀 혼합연료의 연소 특성에 관한 실험을 수행하였다. 평균 입도 100 nm 및 $8{\mu}m$ 크기의 알루미늄 입자와 Sasol사의 마이크로크리스탈린 파라핀 왁스(Sasol 0907)를 이용하여 연소실험을 수행하였고 순수 파라핀과 알루미늄 입자 5 wt%를 첨가한 파라핀 혼합연료의 후퇴율과 압력선도, 특성배기속도 등을 비교하였다. 마이크로 입자의 첨가는 산화제 유속이 증가할수록 후퇴율을 향상시켰으나 나노 입자의 첨가는 후퇴율이 감소하는 경향을 보였다.

• Bulletin of the Korean Chemical Society
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• 제24권2호
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• pp.178-182
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• 2003

The stress and the heat-flux auto-correlation functions in the Green-Kubo formulas for shear viscosity and thermal conductivity have non-decaying long-time tails. This problem can be overcome by improving the statistical accuracy by N (number of particles) times, considering the stress and the heat-flux of the system as properties of each particle. The mean square stress and the heat-flux displacements in the Einstein formulas for shear viscosity and thermal conductivity are non linear functions of time since the quantities in the mean square stress and the heat-flux displacements are not continuous under periodic boundary conditions. An alternative to these quantities is to integrate the stress and the heat-flux with respect to time, but the resulting mean square stress and heat-flux displacements are still not linear versus time. This problem can be also overcome by improving the statistical accuracy. The results for transport coefficients of liquid argon obtained are discussed.

• 멤브레인
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• 제9권3호
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• pp.185-192
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• 1999

반도체 산업의 wafer 가공공정에서 발생하는 폐수를 재활용하고자 한외여과 공정을 이용한 막분리 공정의 도입 가능성을 검토하였다. Pilot 규모의 장치에 분획분자량이 각각 10,000, 20.000, 30,000인 한외여과막 모듈을 이용하여 투과유속 및 제거율 등을 측정하였다. 투과수의 성상은 SDI15, 탁도, 전기전도도, 실리콘 농도분석을 통해 공정수로 재이용이 가능함을 확인할 수 있었다. 투과유속 저하를 막기 위한 역세척 방법으로는 압축공기와 물은 sweeping 하는 방법이 가장 효과적이었고, 이때 투과유속의 회복율이 높게 나타났다. 분획분자량 30,000인 한외여과막에서 가장 높은 투과유속을 나타내었다. 또한 폐수의 평균 실리콘 입자 평균 함량은 3.8-5.6mg/$\ell$이고, 투과수의 실리콘 입자 함량은 0.2${\mu}g$/$\ell$이하로 나타나 제거율은약 96%이상으로 나타났다.

• Journal of Astronomy and Space Sciences
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• 제20권2호
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• pp.109-122
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• 2003

자기폭풍(magnetic storm)과 서브스톰(substorm)의 인과관계를 규명하기 위하여 서브스톰 확장기 활동(substorm expansive activity)의 전형적인 지시자로 알려진 정지궤도 위성에서 관측된 양성자 플럭스(proton flux)의 무분산 입자유입률(dispersionless particle injection rate)과 Dst 지수와의 상관관계를 조사하였다. 본 연구에 이용된 자기폭풍은 1996년에서 2000년까지 5년 동안에 일어난 것으로 자기폭풍 기간 중 Dst의 최소값인 $Dst_{min}$의 크기에 따라 대규모($-200nT{$\leq$}Dst_{min}{$\leq$}-100nT$), 중규모($-100nT{\leq}Dst_{min}{\leq}-50nT$), 소규모 자기폭풍($-50nT{\leq}Dst_{min}{\leq}-30nT$)의 3단계로 구분하였다. 양성자 플럭스는 LANL의 정지궤도 위성에서 관측된 자료 중에서 주로 환전류(ring current)를 구성하는 입자의 에너지에 해당하는 50keV에서 670keV 범위의 6개 에너지 채널의 자료를 이용하였다. 그리고 입자유입은 자정 부근에서 주로 일어나므로 18:00~04:00MLT구간에서 관측된 자료만을 이용하였다. 한편 내부 자기권으로 유입되는 입자에너지를 추정하기 위하여 양성자 플럭스 비($f_{max}/f_{ave}$)를 조사하였다. 여기서, $f_{ave}$ 및 $f_{max}$는 각각 입자유입이 일어나기 전 후의 양성자 플럭스의 양을 나타낸다. 한편 자기폭풍 기간 동안에 1 ~ 2개의 인공위성 관측으로부터 내부 자기권으로 유입되는 총 에너지량을 추정하는 것이 불가능하다는 것이 알려졌다. 그러나 총 에너지 유입량은 적어도 플럭스 비와 유입횟수에 비례할 것이다. 따라서 내부 자기권으로 유입되는 에너지의 양을 간접적으로 추정하기 위해서 이들의 곱으로 정의되는 총 에너지 유입률 지수(total energy injection parameter, TEIP)를 제안하였다. 특히 서브스톰이 자기폭풍의 발달에 기여하는 정도를 알기 위하여 자기폭풍을 두 구간, 즉 주상(main phase)과 회복기(recovery phase)로 나누어 조사하였다. 양성자의 무분산 유입자료와 자기폭풍 기간 중 Dst$_{min}$ 값을 비교해 본 결과 다음과 같은 특성이 확인되었다. 첫째, 주상기간 중 입자들의 평균 유입횟수는 자기폭풍의 크기에 비례하여 증가하는 경향을 나타내며 유입휫수와 $Dst_{min}$ 사이에는 높은 상관관계(0.83)가 있었다. 둘째, 주상기간 중 자기폭풍의 크기가 클수록 플럭스 비 ($f_{max}/f_{ave}$는 대체로 증가하는 경향을 나타냈다. 그리고 75~113keV 에너지 채널에서의 $Dst_{min}$ 값과 플럭스 비의 상관계수는 0.74로서 가장 높았으며 나머지 에너지 채널 역시 비교적 높은 상관관계를 나타냈다. 셋째, 주상기간 중 총 에너지 유입률 지수와 $Dst_{min}$ 사이에 높은 상관관계가 확인되었다. 특히 환전류를 구성하는 주요 입자의 에너지 영역(75~l13keV)에서 가장 높은(0.80) 상관계수를 기록했다. 넷째, 회복기 중에 일어나는 입자들의 유입은 자기폭풍의 지속시간을 연장시키는 경향을 보이며 큰 자기폭풍일수록 현저했다. 주상에서 관측된 이러한 특성은 서브스톰 확장기 활동이 자기폭풍의 발달과 밀접한 관계가 있음을 시사한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1832-1835
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• 2003

This paper suggests the selective ultra precision polishing techniques for micro die and mold parts using magnetic-assisted machining. Fabrication of magnetic abrasive particle and their polishing performance are key technology at ultra precision polishing process of micro parts. Conventional magnetic abrasives have disadvantages. which are missing of abrasive particle and inequality between magnetic particle and abrasive particle. So, bonded magnetic abrasive particles are fabricated by several method. For example, plasma melting and direct bonding. Ferrite and carbonyl iron powder are used as magnetic particle where silicon carbide and Al$_2$O$_3$ are abrasive particle. Developed particles are analyzed using measurement device such as SEM. Possibility of magnetic abrasive and polishing performance of this magnetic abrasive particles also have been investigated. After polishing, surface roughness of workpiece is reduced from 2.927 $\mu\textrm{m}$ Rmax to 0.453 $\mu\textrm{m}$ Rmax.

• 한국전기전자재료학회논문지
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• 제17권4호
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• pp.453-459
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• 2004

In this experiment, flux method was applied for preparing ferroxplana at low temperature, The common salt was used as a flux. The mole ratio of flux to Zn$_2$Y was varied with 0, 6.5, 13, 26 and 52 in dry ball-mixing. Zn$_2$Y was obtained after heat treatment of the mixed powder. Crystallization, particle morphology and magnetic properties of the prepared powder were investigated using XRD, VSM and SEM. The ferroxplana powder of 2-4 ${\mu}{\textrm}{m}$ was obtained with the mole ratio 26 by heat treating at the temperature of 110$0^{\circ}C$. The coercivity(H$_{c}$) and saturation magnetization(M$_{s}$) of the ferroxplana were 282Oe and 64.5emu/g, respectively.y.y.

• Nuclear Engineering and Technology
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• 제56권2호
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• pp.636-643
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• 2024

The coolability of the debris bed with a simulant of solidified corium is experimentally studied, focusing on the effects of the structure of the axial stratified debris bed on the dryout heat flux (DHF). DHF was obtained for the four structures with different particle sizes for the axial stratified debris bed under top flooding. The experimental results show that the dryout position of the axial stratified debris bed is formed at the stratified interface indicated by the temperature rise, and the DHF of the axial stratified bed is much lower than that of the homogeneous bed packed with the upper small particles. To predict the dryout heat flux of the stratified debris beds, by considering the properties of the mixed area, a one-dimensional dryout heat flux model of the porous medium is derived from a water and vapor momentum equation for porous medium, two-phase permeability modifications, interfacial drag, and the correlation between capillary pressure and liquid saturation and verified with the experimental data. The modified model can give reasonable results under different structures.

• Korea-Australia Rheology Journal
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• 제19권3호
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• pp.99-107
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• 2007

A nanofluid is a mixture of solid nanoparticles and a common base fluid. Nanofluids have shown great potential in improving the heat transfer properties of liquids. However, previous studies on the characteristics of nanofluids did not adequately explain the enhancement of heat transfer. This study examined the distribution of particles in a fluid and compared the mechanism for the enhancement of heat transfer in a nanofluid with that in a general microparticle suspension. A theoretical model was formulated with shear-induced particle migration, viscosity-induced particle migration, particle migration by Brownian motion, as well as the inertial migration of particles. The results of the simulation showed that there was no significant particle migration, with no change in particle concentration in the radial direction. A uniform particle concentration is very important in the heat transfer of a nanofluid. As the particle concentration and effective thermal conductivity at the wall region is lower than that of the bulk fluid, due to particle migration to the center of a microfluid, the addition of microparticles in a fluid does not affect the heat transfer properties of that fluid. However, in a nanofluid, particle migration to the center occurs quite slowly, and the particle migration flux is very small. Therefore, the effective thermal conductivity at the wall region increases with increasing addition of nanoparticles. This may be one reason why a nanofluid shows a good convective heat transfer performance.