Application of an inverse solution to the thermal conductivity identification using the finite element method

2004 ◽  
Author(s):  
T Telejko
Keyword(s):  
Thermal Conductivity ◽  
Finite Element Method ◽  
Finite Element ◽  
Inverse Solution ◽  
The Finite Element Method ◽  
Element Method

Determination of the Effective Thermal Conductivity Tensor of Heterogeneous Media Using a Self-Consistent Finite Element Method: Application to the Pseudo-percolation Thresholds of Mixtures Containing Nonspherical Inclusions

1999 ◽  
Vol 122 (1) ◽  
pp. 171-175 ◽  
Author(s):  
A. Decarlis ◽  
M. Jaeger ◽  
R. Martin
Keyword(s):  
Thermal Conductivity ◽  
Finite Element Method ◽  
Finite Element ◽  
Effective Thermal Conductivity ◽  
Heterogeneous Media ◽  
The Finite Element Method ◽  
Self Consistent ◽  
Percolation Thresholds ◽  
Element Method

This paper concerns the determination of the effective thermal conductivity of heterogeneous media with randomly dispersed inclusions. Inclusions of arbitrary shape can be considered since the self-consistent problem is solved numerically with the finite element method. Results for many different cases of heterogeneous media with axially symmetrical inclusions are presented. Moreover, the influence of the inclusion’s shape on the pseudo-percolation threshold is investigated. [S0022-1481(00)00801-X]

scholarly journals A novel method for calculating effective thermal conductivity of particulate fouling

2019 ◽  
pp. 308-308
Author(s):  
Zhong-Bin Zhang ◽  
C Congyu ◽  
Yang Liu ◽  
Li-Hua Cao
Keyword(s):  
Thermal Conductivity ◽  
Finite Element Method ◽  
Finite Element ◽  
Heat Exchanger ◽  
Effective Thermal Conductivity ◽  
Parametric Design ◽  
The Finite Element Method ◽  
Particulate Fouling ◽  
Novel Method ◽  
Element Method

The accurate thermal conductivity of fouling plays a very significant role in designing heat exchanger. In this paper, a novel method of calculating the effective thermal conductivity (ETC) of particulate fouling is put forward by using Image-Pro-Plus image processing, the finite element method and ANSYS parametric design language (APDL). First of all, according to the analysis on the particulate fouling samples features, the particulate fouling is considered as porous media with fractal characteristics, whose microscopic network model is established using the finite element method, and each unit body material properties are randomly assigned by APDL. Secondly, ETC of particulate fouling model is calculated by the steady state plate method. And then, the influence of particulate fouling microstructure on ETC is explored. Last, it is also show that the calculation resulting of ETC agrees well with available experimental data and empirical correlation. Moreover, it has been shown that ETC of particulate fouling is closely associated with the porosity and pore size. The method can be used to research on the thermal conductivity of fouling, discuss the influence of microstructure on ETC of fouling, and provide the guidelines for designing of heat exchanger on calculating accurate thermal conductivity of fouling.

Sign in / Sign up

Export Citation Format

Share Document