scholarly journals Maxwell-type models for the effective thermal conductivity of a porous material with radiative transfer in the voids

2019 ◽  
Vol 145 ◽  
pp. 106009 ◽  
Author(s):  
Kristian B. Kiradjiev ◽  
Svenn Anton Halvorsen ◽  
Robert A. Van Gorder ◽  
Sam D. Howison
2012 ◽  
Vol 557-559 ◽  
pp. 2388-2395
Author(s):  
Shan Qi Liu ◽  
Yong Bing Li ◽  
Xu Yao Liu ◽  
Bo Jing Zhu ◽  
Hui Quan Tian ◽  
...  

The thermal conductivity of porous material is an important basic parameter, but it is not easy to study, due to the complexity of the structure of porous material. In the present work, we show a numerical simulation method to study the thermal conductivity of the porous material. We generate 200 material models with random distribution of solid skeleton and air for a fixed porosity, then we get the effective thermal conductivity of the porous material by Monte Carlo statistical analysis. The results are in good agreement with the previous empirical formula. The numerical results show that the effective thermal conductivity of porous material depends on the thermophysical properties of solid skeleton and air, the pore distribution and pore structure, the numerical error decreases with the increase in the number of grids, this finite element method can be used to estimate the effective thermal conductivity of composites and maybe has broad application prospects in terms of computing the effective thermal conductivity and other physical properties of composite material with known components.


2009 ◽  
Vol 20 (04) ◽  
pp. 513-526 ◽  
Author(s):  
SHOUJU LI ◽  
YUEFANG WANG ◽  
YINGXI LIU ◽  
WEI SUN

The relationship between thermal conductivity of porous material and fractal dimension is numerically simulated by using the finite element method. The solid matrix and pore space are generated randomly according to material porosity. Material parameters and element properties are changed by using ANSYS parameter design language. The effective thermal conductivity is derived according to thermal flux through some sections computed by FEM and Fourier heat transform law. The investigation shows that the effective thermal conductivity decreases with increasing porosity. The effective thermal conductivity will decrease exponentially with increasing fractal dimension of porosity space and increase exponentially with increasing fractal dimension of solid matrix.


Author(s):  
Xinming Zhang ◽  
Qinghua Chen ◽  
Danling Zeng

Graphite foam is a new material for effective heat conduction, which possesses exceedingly good thermal physical properties, thus the investigation on it has absorbed wide attention of scientists and engineers. By using experimental method such a material was obtained in our lab, and the factors which influence the micro-structure of the material was preliminary discussed based on our experiments. However, the main focus of the present paper is placed on the determination of the effective thermal conductivity of the material. Firstly, in accordance with the microscopic structure of the material, a simplified geometric model was constructed. Based on it a heat conduction unit cell was proposed to calculate the effective thermal conductivity of the porous material. Then, a geometric transformation was carried out to transit the original simple model to the real fractal one. The effective thermal conductivity λ' and its averaged value λ'm for the bulk porous material were derived. Examples were provided to show the computational procedure and to confirm the availability of the method proposed. The influence factors on λm. in the fractal model were also discussed in detail.


Author(s):  
Redeemer Nutsugah ◽  
Patrick Mensah ◽  
Stephen Akwaboa ◽  
Michael Martin

The thermal conductivity of a high-temperature calcium silicate block insulation product was measured in gaseous environments at pressures up to 100 bar at room temperature. The thermal conductivity of the porous material was tested in nitrogen, argon, and carbon dioxide gaseous environments. These tests were performed in a newly-constructed pressure chamber integrated with a thermal conductivity testing device. A standardized testing method was employed in the design of the apparatus. The test method used was based on the ASTM c177, the guarded-hot-plate method [1]. Tests performed in a carbon dioxide pressure medium have produced data with thermal conductivity as a nonlinear function of pressure. The results of tests conducted using nitrogen and argon show that the variations of thermal conductivity of the porous silica insulating material are linear functions of pressure and specific heat (Cv) of the fill gas. Tests performed in a nitrogen gaseous environment have relatively higher thermal conductivity values than thermal conductivity values at corresponding pressures in argon gaseous environment. This trend is attributable to the higher thermophysical property values of nitrogen than those of argon. This observation suggests that the thermophysical properties of the fill gas have significant effect on the effective thermal conductivity of the porous material. Thermal conductivity data collected in both nitrogen and argon pressure media have coefficients of determination (r2) of 0.9955 and 0.9956, respectively. An exponential function fitted to the carbon dioxide data produced a coefficient of determination of 0.9175. A precision study for the newly-constructed steady-state thermal conductivity measuring apparatus was performed in atmospheric air. With a standard deviation of 0.00076 W/m · K and a mean thermal conductivity value of 0.07294 W/m · K, a 95% confidence interval was assumed for a sample space size of 13 for the baseline tests in air. This produced a precision error of ±0.00046 W/m · K (±0.63%), a mean bias error of ±0.00955 W/m · K (±13.09%), and a mean steady-state error of ±1.67%. Hence, the total uncertainty in the mean thermal conductivity value of the baseline tests in atmospheric air could be reported as 0.07294W/m · K ± 13.22% with 95% confidence. The result of the precision study is indicative of the reliability of the apparatus. The single-sample precision uncertainty in thermal conductivity values at varying pressures in the various fill gases were estimated based on the standard deviation of the repeated tests in atmospheric air as 0.001166W/m · K.


Sign in / Sign up

Export Citation Format

Share Document