Issue |
EPJ Web Conf.
Volume 180, 2018
EFM17 – Experimental Fluid Mechanics 2017
|
|
---|---|---|
Article Number | 02006 | |
Number of page(s) | 5 | |
Section | Contributions | |
DOI | https://doi.org/10.1051/epjconf/201818002006 | |
Published online | 04 June 2018 |
https://doi.org/10.1051/epjconf/201818002006
New methodology for the heat flow prediction for different construction materials
1
Laboratory of Energy in Arid Regions, University of Tahri Mohamed - Bechar, P.O. P 417. 08000, Road Kenedza, Bechar, Algeria
2
Department of Mechanical Engineering, University of Sciences and Technology of Oran -Mohamed Boudiaf, P.O.1505 El-Mnaouar, Oran, Algeria
3
Laboratory of Smart Grids and Renewable Energies, TAHRI Mohammed, University of Bechar, BP. 417 Bechar (08000), Algeria
a Corresponding author: benachour_elhadj@yahoo.fr
Published online: 4 June 2018
Among the ways of energy transfer by conduction is that of molecular interaction, in which the greater motion of a molecule at a higher energy level (temperature) imparts energy to adjacent molecules at lower energy levels. This type of transfer is present, to some degree, in all systems in which a temperature gradient exists and in which molecules of a solid, liquid, or gas are present. So, in heat transfer, the thermal conductivity of a substance is an intensive property that indicates its ability to conduct heat In particular in the building sector. The thermal flux is often measured with a mathematical analysis but for the same material, on the other hand the estimate will be disruptive and sometimes very difficult when the material changes. In this paper, a single equation for predicting heat flux of different materials is given.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.