Sensitivity of the macroscopic thermal conductivity tensor to topological microstructural changes

2009 ◽  
Vol 198 (5-8) ◽  
pp. 727-739 ◽  
Author(s):  
S.M. Giusti ◽  
A.A. Novotny ◽  
E.A. de Souza Neto ◽  
R.A. Feijóo
Keyword(s):  
Thermal Conductivity ◽  
Conductivity Tensor ◽  
Microstructural Changes ◽  
Thermal Conductivity Tensor

Thermal conductivity tensor of NbO2

2019 ◽  
Vol 137 ◽  
pp. 263-267 ◽  
Author(s):  
Hai Jun Cho ◽  
Gowoon Kim ◽  
Takaki Onozato ◽  
Hyoungjeen Jeen ◽  
Hiromichi Ohta
Keyword(s):  
Thermal Conductivity ◽  
Conductivity Tensor ◽  
Thermal Conductivity Tensor

Determination of the thermal conductivity tensor of the n = 7 Aurivillius phase Sr4Bi4Ti7O24

2012 ◽  
Vol 101 (2) ◽  
pp. 021904 ◽  
Author(s):  
M. A. Zurbuchen ◽  
D. G. Cahill ◽  
J. Schubert ◽  
Y. Jia ◽  
D. G. Schlom
Keyword(s):  
Thermal Conductivity ◽  
Conductivity Tensor ◽  
Aurivillius Phase ◽  
Thermal Conductivity Tensor

scholarly journals Numerical identification of the thermal conductivity tensor and the heat capacity per unit volume of an anisotropic material

2019 ◽  
Vol 20 (6) ◽  
pp. 603
Author(s):  
Kossi Atchonouglo ◽  
Jean-Christophe Dupré ◽  
Arnaud Germaneau ◽  
Claude Vallée
Keyword(s):  
Thermal Conductivity ◽  
Finite Element Method ◽  
Heat Capacity ◽  
Unit Volume ◽  
Time Integration ◽  
Volume Measurement ◽  
Conductivity Tensor ◽  
Inverse Approach ◽  
Thermal Conductivity Tensor ◽  
Principal Axes

In this paper, an inverse approach based on gradient conjugate method for thermal conductivity tensor and heat capacity per unit volume measurement is summarized. A suitable analysis is done for the mesh in finite element method and for the time steps for the time integration. For a composite material, it is shown the importance to identify the thermal conductivity tensor components in the principal axes.

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