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Computational Model of Effective Thermal Conductivity of Green Insulating Fibrous Media

Authors :
Hamidou Sankara
Dominique Baillis
Ousmane Coulibaly
Rémi Coquard
Naïm Naouar
Zahia Saghrouni
Source :
Materials, Vol 17, Iss 1, p 252 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Modelling effective thermal properties is crucial for optimizing the thermal performance of materials such as new green insulating fibrous media. In this study, a numerical model is proposed to calculate the effective thermal conductivity of these materials. The fibers are considered to be non-overlapping and randomly oriented in space. The numerical model is based on the finite element method. Particular attention is paid to the accuracy of the results and the influence of the choice of the representative elementary volume (REV) for calculation (cubic or rectangular parallelepiped slice). The calculated effective thermal conductivity of fibrous media under different boundary conditions is also investigated. A set of usual mixed boundary conditions is considered, alongside the uniform temperature gradient conditions. The REV rectangular slice and uniform temperature gradient boundary conditions provide a more accurate estimate of the effective thermal conductivity and are therefore recommended for use in place of the usual cubic representative elementary volume and the usual mixed boundary conditions. This robust model represents a principal novelty of the work. The results are compared with experimental and analytical data previously obtained in the literature for juncus maritimus fibrous media, for different fiber volume fractions, with small relative deviations of 7%. Analytical laws are generally based on simplified assumptions such as infinitely long fibers, and may neglect heat transfer between different phases. Both short and long fiber cases are considered in numerical calculations.

Details

Language :
English
ISSN :
19961944
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Materials
Publication Type :
Academic Journal
Accession number :
edsdoj.84b4b13d4ce247e1932893eabe52cf83
Document Type :
article
Full Text :
https://doi.org/10.3390/ma17010252