• Title/Summary/Keyword: flux data

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Pressure Effects o]n Critical Heat Flux under Low Pressure and Low Flow Conditions

  • Kim, Hong-Chae;Park, Jae-Wook;Baek, Won-Pil;Chang, Soon-Heung
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05b
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    • pp.82-87
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    • 1996
  • To find the effects of pressure on critical heat flux (CHF) for the conditions of low pressures (especially up to 10 bar) and low mass flux (~300 kg/$m^2$s), a series of experiments have been accomplished by using uniformly heated Inconel-625 tube. The experimental ranges are as follows: pressure (from 1.2 to 8 bar). mass velocities (from 100 to 250 kg/$m^2$s) and the inlet subcooling ($\Delta$h$_{i}$ = 350 kJ/kg). According to the experimental data, it is found that the CHF is nearly independent of the pressure and increases with mass flux. From the results of the CHF correlation assessment for this experimental data, we could find somewhat different tendency of CHF behavior from every other CHF prediction correlation and table.ation and table.

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Comparison of the radial velocities of Halo CMEs based on a flux rope model and an ice cream cone model

  • Kim, Tae-Hyeon;Moon, Yong-Jae;Na, Hyeon-Ock
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.95.1-95.1
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    • 2011
  • Halo Coronal Mass Ejections (HCMEs) are crucial for space weather, since they can produce severe geomagnetic storms when they interact with the Earth's magnetosphere. It is thus very important to infer their directions, radial velocities, and their three-dimensional structures. In this study, we apply two different models to HCMEs since 2008 : (1) an ice cream cone model by Xue et al (2005) using SOHO/LASCO data, (2) a flux rope model by Thernisien et al. (2009) using STEREO/SECCHI data. In addition, we use the flux rope model with zero separation angle of flux rope, which is morphologically similar to the ice cream cone model. The comparison shows that the CME radial velocities from three models have very good correlations (R>0.9) one another. We are extending this comparison to other partial halo CMEs observed by STEREO and SOHO.

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Subcooled Burnout Heat Flux on a Heated Surface with Impinging Water Jet (충돌수분류(衝突水噴流)에 의한 서브쿨 Burnout열류속(熱流束)에 관한 연구)

  • Ohm, K.C.;Lee, J.S.;Park, S.Y.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.8 no.4
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    • pp.527-536
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    • 1996
  • Convective nucleate boiling and burnout heat flux have been studied on a flat, downward facing, constant heat flux surface cooled by an impinging water jet. The tests are progressed from low, nonboiling power to high, burnout heat flux power. The jet velocity and the subcooling do not affect the nucleate boiling curve of $q{\sim}{\Delta}T_{sat}$ diagram, but the supplementary water height affects the curve. For the case of dimensionless height of supplementary water S/D=1, the boiling curve shift to the heigher heat flux than that of S/D=0 or S/D=2. Burnout heat flux is enhanced with increasing jet velocity and subcooling. Also. by using the supplementary water(S/D=1 or S/D=2), burnout heat flux is larger than that of the simple water jet(S/D=0). A generalized correlation for the burnout heat flux data in the present boiling system with an impinging water jet is successfully evolved.

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Long-Range Transported SO2 Inflow fromAsian Continent to Korea Peninsula Using OMI SO2 Data and HYSPLIT Backward Trajectory Calculations (OMI 이산화황자료와 HYSPLIT 역궤적 계산을 이용한 동북아지역의 장거리 수송되는 이산화황 유입량 산출)

  • Park, Junsung;Hong, Hyunkee;Choi, Wonei;Lee, Hanlim
    • Korean Journal of Remote Sensing
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    • v.30 no.6
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    • pp.743-754
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    • 2014
  • In this present paper, we, for the first time, calculated $SO_2$ inflow from China to Korea peninsula based on OMI $SO_2$ products and HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) backward trajectory calculations. The major factors used to estimate $SO_2$ flux are long range transported $SO_2$ concentration, transport speed of air mass, and thickness of transported air mass layer. The mean and maximum $SO_2$ fluxes are estimated to be 0.81 and $2.11g{\cdot}m^{-2}{\cdot}h^{-1}$, respectively based on OMI products while, those of $SO_2$ fluxes are 0.50 and $1.18g{\cdot}m^{-2}{\cdot}h^{-1}$ respectively using insitu data obtained at the surface. For most cases, larger $SO_2$ inflow values were found at the surface than those estimated for the air mass layer which extends from surface up to 1.5 km. However, increased transport speed of air mass leads to the enhanced $SO_2$ flux at the altitude up to 1.5 km at the receptor sites. Additionally, we calculate uncertainties of $SO_2$ flux using error propagation method.

A Study on the Evaluation Methods of Residual Flux Cleaning Ability by Alternative Semi-Aqueous Cleaners Using Metal Test Tools After Soldering with Solder Paste (솔더페이스트로 솔더링 후 잔류 플럭스 오염물에 대한 준수계 세정제의 금속치구를 이용한 세정성능 평가방법 연구)

  • Lee, Dong-Kee
    • Clean Technology
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    • v.14 no.2
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    • pp.103-109
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    • 2008
  • In this study, in order to develop evaluation method of the cleaning efficiency of residual flux which remains on the surface after soldering with solder paste, a specially designed metal tool is used to reduce spread uncertainty of flux while soldering. Using this tool, the measurement of cleaning efficiency of flux after soldering for some typical alternative semi-aqueous cleaners and 1,1,1-TCE by weighing method was conducted. As the test result of cleaning efficiency for each cleaner at several different cleaning times, the precision of the data is confirmed to within about 4% relative standard deviation (RSD) range. So, it is considered that this would be a good evaluation method for evaluating the cleaning efficiency of the residual flux which remains after solder paste soldering in the alternative cleaning. The results of this test method shows that the cleaning efficiency of ST 100SX and Neozal 750H in the cleaning of residual flux was better than other semi-aqueous cleaners, but its cleaning efficiency was clearly inferior to 1,1,1-TCE.

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Dependence of solar proton events on X-ray flare peak flux, longitude, and impulsive time

  • Park, Jin-Hye;Moon, Yong-Jae;Lee, Dong-Hun
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.37.2-37.2
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    • 2009
  • In this study, we present a new empirical forecasting method of solar proton events based on flare parameters. For this we used NOAA solar energetic particle (SEP) events from 1976 to 2006 and their associated X-ray flare data. As a result, we found that about only 3.5% (1.9% for M-class and 21.3% for X-class) of the flares are associated with the proton events. It is also found that this fraction strongly depends on longitude; for example, the fraction for $30W^{\circ}$ < L < $90W^{\circ}$ is about three times larger than that for $30^{\circ}E$ < L < $90^{\circ}E$. The occurrence probability of solar proton events for flares with long duration (> 0.3 hours) is about 2 (X-class flare) to 7 (M-class flare) times larger than that for flares with short duration (< 0.3 hours). The relationship between X-ray flare peak flux and proton peak flux as well as its correlation coefficient are strongly dependent on longitude. Using these results for prediction of proton flux, we divided the data into 6 subgroups depending on two parameters: (1) 3 longitude ranges (east, center, and west) and (2) flare impulsive times (long and short). For each subgroup, we make a linear regression between the X-ray flare peak flux and the corresponding proton peak flux. The result shows that the proton flux in the eastern region is much better correlated with the X-ray flux than that in the western region.

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Forced Flow Dryout Heat Flux in a Stratified Debris Bed (성층 데브리층에서의 강제대류 드라이아웃 열유속)

  • Cha, Jong-Hee;Chung, Moon-Ki;Jin, Yong-Suk
    • Nuclear Engineering and Technology
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    • v.20 no.2
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    • pp.112-119
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    • 1988
  • The purpose of this work is to obtain the experimental data for the forced How dryout heat flux in a heat generating stratified debris bed which simulates the degraded nuclear reactor core after severe accident. The present observations were mainly focused on the effect of coolant mass flux on the dryout heat flux in the stratified debris bed which consists of several layers with selected particle sizes under constant bed depth and temperature of inlet coolant flow conditions. The following results were obtained from this experimental work: (1) The dryout heat flux in the stratified debris bed increases with increase of upward forcing mass flux of coolant. The similar trend of increase rate of dryout heat flux in the stratified bed was observed in the uniform particle size bed. (2) For the comparison of theoretical values and experimental data, the use of surface area mean diameter as a particle diameter was suitable for the calculation of dryout heat flux.

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Predicting flux of forward osmosis membrane module using deep learning (딥러닝을 이용한 정삼투 막모듈의 플럭스 예측)

  • Kim, Jaeyoon;Jeon, Jongmin;Kim, Noori;Kim, Suhan
    • Journal of Korean Society of Water and Wastewater
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    • v.35 no.1
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    • pp.93-100
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    • 2021
  • Forward osmosis (FO) process is a chemical potential driven process, where highly concentrated draw solution (DS) is used to take water through semi-permeable membrane from feed solution (FS) with lower concentration. Recently, commercial FO membrane modules have been developed so that full-scale FO process can be applied to seawater desalination or water reuse. In order to design a real-scale FO plant, the performance prediction of FO membrane modules installed in the plant is essential. Especially, the flux prediction is the most important task because the amount of diluted draw solution and concentrate solution flowing out of FO modules can be expected from the flux. Through a previous study, a theoretical based FO module model to predict flux was developed. However it needs an intensive numerical calculation work and a fitting process to reflect a complex module geometry. The idea of this work is to introduce deep learning to predict flux of FO membrane modules using 116 experimental data set, which include six input variables (flow rate, pressure, and ion concentration of DS and FS) and one output variable (flux). The procedure of optimizing a deep learning model to minimize prediction error and overfitting problem was developed and tested. The optimized deep learning model (error of 3.87%) was found to predict flux better than the theoretical based FO module model (error of 10.13%) in the data set which were not used in machine learning.

A Study on Cooling of Hot Steel Surface by Water-Air Mixed Spray(I) -The Effect of Air Mass Flux on Film Boiling Heat Transfer- (물-공기 혼합분무에 의한 고온 강판 냉각에 대한 연구 (I) -막비등 열전달에 대한 공기질량유속의 영향-)

  • Lee, Pil-Jong;Jin, Sung-Tae;Lee, Sung-Hong
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.28 no.3
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    • pp.247-255
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    • 2004
  • The cooling characteristic of water-air mixed spray for high water mass flux is not well defined, compared to that of highly pressurized spray. A series of research program was planned to develop the boiling correlation for whole temperature range in case of water-air mixed spray with high water mass flux. The cooling experiments of hot steel surface with initial temperature of 820$^{\circ}C$ were conducted in unsteady state with relatively high water mass flux. A computer program was developed to calculate the heat flux inversely from measured data by three inserted thermocouples. Finally the effects of water and air mass flux on the averaged film boiling heat flux and wetting temperature were studied. In this 1st report, it is found that the boiling curve was similar to that of highly pressurized spray and the decreased slope of heat flux in film boiling region with respect to surface temperature became steep by increasing air mass flux. Also it is shown that, by increasing air mass flux, the averaged heat flux in film boiling region was increased, and then saturated and the wetting temperature was increased, and then decreased. Finally when the heat flux in film boiling region is compared with that of highly pressurized spray, it is known that the cooling is improved by introducing air up to 60%.

Modeling of a Non-contact Type Precision Magnetic Displacement Sensor (비접촉식 정밀 변위 측정용 자기센서 모델링)

  • Shin, Woo-Cheol;Hong, Jun-Hee;Lee, Kee-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.8 s.173
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    • pp.42-49
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    • 2005
  • Our purpose is to develop a precision magnetic displacement sensor that has sub-micron resolution and small size probe. To achieve this, we first have tried to establish mathematical models of a magnetic sensor in this paper. The inductance model that presents basic measuring principle of a magnetic sensor is based on equivalent magnetic circuit method. Especially we have concentrated on modeling of magnetic flux leakage and magnetic flux fringing. The induced model is verified by experimental results. The model, including the magnetic flux leakage and flux fringing effects, is in good agreement with the experimental data. Subsequently, based on the augmented model, we will design magnetic sensor probe in order to obtain high performances and to scale down the probe.