Results 11 to 20 of about 83,036 (168)

Effective thermal conductivity of nanostructures: A review

open access: yesAtti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2019
We present a synthesis of recent results on thermal heat conductivity in nano-composites and nano-structures. The model is a mixt of the Effective Medium Approximation (EMA) and Extended Irreversible Thermodynamics (EXIT). The latter is particularly well
Georgy Lebon, Hatim Machrafi
doaj   +3 more sources

Effective Thermal Conductivity of Composites: Numerical Study [PDF]

open access: yesComputational Engineering and Physical Modeling, 2023
The objective of this paper was to estimate the effective thermal conductivity (Keff) values of the composite based on fibers, and to validate the experimental values measured in previous work.
Nadia Benmansour
doaj   +1 more source

Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set

open access: yesMaterials & Design, 2023
This study proposes a novel approach that combines a Quartet Structure Generation Set (QSGS) algorithm with the Lattice Boltzmann Method (LBM) to investigate effective thermal conductivity in plant fiber materials.
Rui Li   +6 more
doaj   +1 more source

Estimation of radiative thermal conductivity of glass wool using high precision GHP apparatus

open access: yesNihon Kikai Gakkai ronbunshu, 2022
In this study, the effective thermal conductivity of glass wool was measured under different temperature and packing ratio conditions using a high-precision guarded hot plate (GHP) apparatus, which adopted a Peltier module.
Fuhui GUO   +3 more
doaj   +1 more source

The effective thermal conductivity of virtual macroporous structures

open access: yesResults in Engineering, 2022
Recent developments in macroporous structures featuring metallic bodies are becoming a focus of research due to their improved load-bearing capacity and high specific surface area, making them potential candidates for thermofluidic applications.
A.J. Otaru   +5 more
doaj   +1 more source

Effect of packing structure on anisotropic effective thermal conductivity of thin ceramic pebble bed

open access: yesNuclear Engineering and Technology, 2021
Helium cooled solid breeder blanket as an important blanket candidate of the Tokamak fusion reactor uses ceramic pebble bed for tritium breeding. Considering the poor effective thermal conductivity of the ceramic breeder pebble bed, thin structure of ...
Shuang Wang   +5 more
doaj   +1 more source

Heat conduction in polymer chains: Effect of substrate on the thermal conductance

open access: yesThe Journal of Chemical Physics, 2022
In standard molecular junctions, a molecular structure is placed between and connected to metal leads. Understanding how mechanical tuning in such molecular junctions can change heat conductance has interesting applications in nanoscale energy transport.
Mohammadhasan Dinpajooh, Abraham Nitzan
openaire   +3 more sources

Effective thermal conductivity of an intact heterogeneous limestone

open access: yesJournal of Rock Mechanics and Geotechnical Engineering, 2020
The Cobourg limestone is a very low porosity rock consisting of lighter nodular regions that are predominantly calcite and darker regions consisting of calcite, quartz, dolomite, and an appreciable clay fraction.
A.P.S. Selvadurai, S.M. Rezaei Niya
doaj   +1 more source

Combined Prediction Method for Thermal Conductivity of Asphalt Concrete Based on Meso-Structure and Renormalization Technology

open access: yesApplied Sciences, 2022
Pavement temperature field affects pavement service life and the thermal environment the near road surface; thus, is important for sustainable pavement design.
Jiaqi Chen   +3 more
doaj   +1 more source

Effective in-field thermal conductivity of ferrofluids [PDF]

open access: yesJournal of Applied Physics, 2018
A structural model to predict in-field thermal conductivity of ferrofluids is proposed in this study and is validated by the experimental data from the literature. The model is able to capture the aggregation development of the magnetic particles with increasing magnetic field strength.
N. S. Susan Mousavi, Sunil Kumar
openaire   +2 more sources

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