EFFECTIVE THERMAL CONDUCTIVITY OF HETEROGENEOUS LYOPHOBIC NANOSYSTEMS FOR USE IN THERMOMECHANICAL ENERGY DEVICES

2011 ◽  
Author(s):  
A. V. Yevtushenko ◽  
V. P. Stoudenets ◽  
V. A. Eroshenko
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Energy Devices

Temperature and Pressure Dependences of the Effective Thermal Conductivity of Granites

2020 ◽  
Vol 84 (9) ◽  
pp. 1144-1146
Author(s):  
S. N. Emirov ◽  
A. A. Aliverdiev ◽  
V. D. Beybalaev ◽  
A. A. Amirova ◽  
R. M. Aliev ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Temperature And Pressure

Effective thermal conductivity of open-pore metal foams as a function of the base material

2015 ◽  
Vol 57 (10) ◽  
pp. 825-836 ◽  
Author(s):  
Alexander Martin Matz ◽  
Bettina Stefanie Mocker ◽  
Norbert Jost ◽  
Peter Krug
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Base Material ◽  
Metal Foams

scholarly journals Stochastic Thermal Properties of Laminates Filled with Long Fibers

Materials ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2511
Author(s):  
Jan Turant
Keyword(s):  
Thermal Conductivity ◽  
Effective Thermal Conductivity ◽  
Cross Section ◽  
Circular Cross Section ◽  
Saturation Density ◽  
Composite Matrix ◽  
Number Of Layers ◽  
Stochastic Parameters ◽  
Multilayer Composites ◽  
Long Fibers

In this paper, the stochastic parameters of the effective thermal conductivity of multilayer composites are considered. The examined specimens of composites were built with a different number of layers and each had a different saturation density of a composite matrix with fibers. For each case of laminate built with a prescribed number of layers and assumed saturation density, 10,000 tests of its effective thermal conductivity were carried out using numerical experiments. It was assumed that the fibers located in each layer were rectilinear, had a circular cross-section and that they could take random positions in their repeatable volume elements (RVEs). In view of the mentioned assumptions, the heat flux passing throughout a cross-section of a composite sample, perpendicular to the fibers’ direction, was considered. The probability density functions were fitted to the obtained data and then the chosen stochastic parameters of the effective thermal conductivity coefficients were determined.

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