• 한국세라믹학회지
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• 제53권1호
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• pp.43-49
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• 2016

This analyzed a Young's modulus (E), a thermal expansion coefficient (TEC, ${\beta}$) and a thermal conductivity (${\kappa}$) of the material with simple cubic particulate inclusion using two model structures: a parallel structure and a series structure of laminated layers. The derived ${\beta}$ equations were applied to calculate the ${\beta}$ value of the W-MgO system. The accuracy was higher for the series model structure than for the parallel model structure. Young's moduli ($E_c$) of sintered porous alumina compacts were theoretically related to the development of neck growth of grain boundary between sintered two particles and expressed as a function of porosity. The series structure model with cubic pores explained well the increased tendency of $E_c$ with neck growth rather than the parallel structure model. The thermal conductivity of the three phase system of alumina-mullite-pore was calculated by a theoretical equation developed in this research group, and compared with the experimental results. The pores in the sintered composite were treated as one phase. The measured thermal conductivity of the composite with 0.5-25% porosity (open and closed pores) was in accordance with the theoretical prediction based on the parallel structure model.

• 한국지반공학회논문집
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• 제29권2호
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• pp.5-14
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• 2013

지중 토양의 열 물리적 성질 중 열전도도(thermal conductivity)는 지열 히트펌프 시스템(ground-coupled heat pump systems)의 지중열교환기 설계 과정에서 매우 중요한 변수다. 토양의 열전도도는 3상 구조로 인해 함수비와 건조밀도의 영향을 많이 받는다. 본 논문에서는 수평형 지중열교환기의 트렌치 뒤채움재로 사용되는 9종류의 토양(모래-물혼합물)을 대상으로 열전도도 측정결과와 기존 상관식에 의한 계산결과를 비교하였다. 건조토인 경우, 2상 구조의 열전도도 예측모델인 준이론 모델에 의한 열전도도 계산 결과는 측정 결과와 큰 차이를 보였다. 불포화토인 경우, 기존 모델 중 Cote와 Konrad가 제시한 모델에 의한 계산 결과가 측정 결과와 가장 잘 일치하였다. 또한 토양의 열전도도와 함수비, 종류 등이 수평형 지중열교환기의 설계 길이에 미치는 영향을 고찰하였다. 뒤채움재로 사용되는 토양의 열전도도가 증가할수록 수평형 지중열 교환기의 설계 길이는 감소하였다.

• 한국수산과학회지
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• 제15권3호
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• pp.219-225
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• 1982

1) 2성분계 도지두부의 유효열전도도($\lambda_e$)를 $0\sim20^{\circ}C$ 및$-5\sim-20^{\circ}C$의 범위내에서 측정한 결과, 수분함양의 증감에 따라 $\lambda_e$값도 증감했으며, 동결점이상의 온도대에서는 온도의 상승과 함께 $\lambda_e$값도 커지고, 동결점 이하에서는 온도의 하강과 함께 $\lambda_e$값이 커졌다. 2) 3성분계 두부의 유효열전도는 수분함양이 증가함에 따라 $\lambda_e$값은 커져가나 지질의 함양이 증가함에 따라 $\lambda_e$값은 작아졌다. $\lambda_e$값의 온도의존성은 2성분계도지두부의 경우와 유사했다. 3)대대단백질의 고유열전도도는 미동결상태에서 $\lambda_p=0.300[W/m{\bullet}k](0\sim-20^{\circ}C)$이고, 동결상태에서 $\lambda_p=0.488[W/m{\bullet}k](-5\sim-20^{\circ}C)$였으며 이들은 실험온도 범위내에서 온도의존성을 나타내지 않았다. 4) 대두단상질의 고유열전도도의 추정치 $\lambda_p=0.300$과 $\lambda_p=0.488$의 타당성을 지질의 함양이 상이한 2종류의 3성분계 두부에 적용한 결과, 실측치와 계산치는 잘 일치했다.

• Geomechanics and Engineering
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• 제10권1호
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• pp.49-57
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• 2016

The high permeability-high strength concrete belongs to the typical of porous materials. It is mainly used in underground engineering for cold area, it can act the role of heat preservation, also to be the bailing and buffer layer. In order to establish a suitable model to predict the thermal conductivity and directly applied for engineering, according to the structure characteristics, the thermal conductivity predicting model was built by resistance network model of parallel three-phase medium. For the selected geometric and physical cell model, the thermal conductivity forecast model can be set up with aggregate particle size and mixture ratio directly. Comparing with the experimental data and classic model, the prediction model could reflect the mixture ratio intuitively. When the experimental and calculating data are contrasted, the value of experiment is slightly higher than predicting, and the average relative error is about 6.6%. If the material can be used in underground engineering instead by the commonly insulation material, it can achieve the basic requirements to be the heat insulation material as well.

• Nuclear Engineering and Technology
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• 제34권5호
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• pp.482-493
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• 2002

The MOX fuel for LWR is fabricated either by direct mechanical blending of UO$_2$ and PuO$_2$ or by two stage mixing. Hence Pu-rich particles, whose Pu concentrations are higher than pellet average one and whose size distribution depends on a specific fabrication method, are inevitably dispersed in MOX pellet. Due to the inhomogeneous microstructure of MOX fuel, the thermal conductivity of LWR MOX fuel scatters from 80 to 100 % of UO$_2$ fuel. This paper describes a mechanistic thermal conductivity model for MOX fuel by considering this inhomogeneous microstructure and presents an explanation for the wide scattering of measured MOX fuel＇s thermal conductivity. The developed model has been incorporated into a KAERI＇s fuel performance code, COSMOS, and then evaluated using the measured in-pile data for MOX fuel. The database used for verification consists of homogeneous MOX fuel at beginning-of-life and inhomogeneous MOX fuel at high turnup. The COSMOS code predicts the thermal behavior of MOX fuel well except for the irradiation test accompanying substantial fission gas release. The over-prediction with substantial fission gas release seems to suggest the need for the introduction of a recovery factor to a term that considers the burnup effect on thermal conductivity.

• Geomechanics and Engineering
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• 제11권6호
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• pp.771-785
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• 2016

The thermal conductivity of soils is an important property in energy-related geotechnical structures, such as underground heat pumps and underground electric power cable tunnels. This study explores the effects of geotechnical engineering properties on the thermal conductivity of soils. The thermal conductivities of quartz sands and Korean weathered silty sands were documented via a series of laboratory experiments, and its variations with effective stress, porosity, and water saturation were examined. While thermal conductivity was found to increase with an increase in the effective stress and water saturation and with a decrease in porosity, replacing air by water in pores the most predominantly enhanced the thermal conductivity by almost one order of magnitude. In addition, we have suggested an improved model for thermal conductivity prediction, based on water saturation, dry thermal conductivity, saturated thermal conductivity, and a fitting parameter that represents the curvature of the thermal conductivity-water saturation relation.

• 설비공학논문집
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• 제29권5호
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• pp.213-219
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• 2017

This study investigated the thermal conductivity of $CO_2$ gas mixtures in order to ascertain the effects of particular impurities in $CO_2$ in pipeline transportation. We predicted the thermal conductivity of three $CO_2$ gas mixtures ($CO_2+N_2$, $CO_2+H_2S$, and $CO_2+CH_4$) by utilizing three different methods : Chung et al., TRAPP, and the REFPROP model. We validated predictions by comparing the estimated results with 216 experimental data for $CO_2+CH_4$, $CO_2+N_2$, and $CO_2+C_2H_6$. Following $CO_2$ transportation conditions, we observed that the model developed by Chung et al. showed the lowest mean deviation of 3.07%. Further investigations were carried out on the thermal conductivity of $CO_2$ gas mixtures based on the Chung et al. model including the effects of the operation parameters of pressure, temperature, and mole fraction of impurities.

• 한국도로학회논문집
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• 제16권4호
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• pp.87-95
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• 2014

PURPOSES: Evaluation of thermal conductivity and convection properties of asphalt mixture by using thermodynamics. METHODS: In this research, temperature prediction model based on thermodynamics is derived for asphalt mixture in transient state and it is verified with laboratory test results. RESULTS: The derived temperature prediction model shows good agreement with laboratory test results. CONCLUSIONS: It is concluded that the derived model based on thermodynamics and thermal properties in the literature are good enough to capture temperature variation in laboratory test. The approach based on thermodynamics can be applied to more complex temperature simulations.

• 대한기계학회논문집B
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• 제34권2호
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• pp.153-156
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• 2010

나노유체로 기공이 채워진 규사와 같은 2상 물질의 고온에서의 유효 열전도도를 비정상열침법을 사용하여 측정하였다. 본 연구의 나노유체는 물과 0.1% 체적률의 입경이 45 nm 인 알루미나 나노입자의 혼합유체이다. 본 연구의 측정방법은 액체가 모래의 미세한 기공 내에 존재하므로, 열전도도의 측정에서의 액체의 대류에 의한 문제가 적다. 본 연구의 모래에 대한 예측모델을 사용하여 나노유체와 모래입자의 2상 물질의 유효 열전도도의 측정결과로부터, 고온의 나노유체의 열전도도를 결정하였다. 실험결과, $30^{\circ}C\sim80^{\circ}C$의 온도 범위에서 순수한 물에 대한 본 연구의 나노유체의 열전도도의 증가율은 4.87% ~ 5.48% 의 범위에서 변화하는 것으로 나타났다.

• 대한기계학회논문집B
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• 제37권10호
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• pp.887-894
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• 2013

복합재의 물성치 해석에 일반적으로 사용되는 일반화된 자기일치모델(Generalized Self-Consistent Model)과 수정된 에쉘비모델(Modified Eshelby Model)을 이용하여 나노유체의 열전도계수를 예측할 수 있음을 보였다. 이 유체의 열전달효과를 대폭 향상시키는 대표적인 메카니즘 중 하나인 나노입자와 기본유체 사이에 존재하는 나노층의 영향을 고려하여 나노유체의 열전도계수를 예측하였다. 본 연구는 나노층의 열전도계수가 일정한 값을 가질 때 기존 대표적인 모델과 동일한 결과를 보였으며, 선형적으로 변할 때 역시 문헌에 있는 모델과 동등한 수준의 예측 값을 보였다. 알루미나와 산화구리를 나노입자로 물과 에틸렌글리콜을 기본유체로 한 나노유체의 열전도계수에 대한 실험결과와 본 모델의 예측결과를 비교함으로써 본 모델의 타당성을 입증하였다.