A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings
American Journal of Applied Scientific Research
Volume 2, Issue 6, November 2016, Pages: 48-54
Received: Sep. 12, 2016;
Accepted: Oct. 28, 2016;
Published: Nov. 25, 2016
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André Talla, Department of Industrial and Mechanical Engineering, National Advanced School of Engineering, Yaounde, Cameroon
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The aim of this paper was to predict the thermal conductivity of local composite materials, particularly used as building materials in Sub-Saharan countries, as a function of their water content. In this work, a new simplified model, based on a physical approach with assumption of an ideal shrinkage of the material during the evaporation of water, was built. Two composite materials were successfully tested providing good fitting and prediction results. Calculated and experimental values of thermal conductivity were in good agreement, with a maximum standard error of 0.037 Wm-1K-1 for the three hygroscopic materials. In spite of its simplicity, this model leads to a more accurate representation than other classical models of the measured variations of the thermal conductivity of hygroscopic materials with the water content.
Hygroscopic Material, Water Content, Simplified Model, Thermal Conductivity, Porosity, Density
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A New Simplified Model for Predicting of Water Content Effects on Thermal Conductivity of Hygroscopic Materials Buildings, American Journal of Applied Scientific Research.
Vol. 2, No. 6,
2016, pp. 48-54.
Copyright © 2016 Authors retain the copyright of this article.
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