Timeline

Timeline2013-05-24T20:06:42+00:00

February 2022

Projet MCP+ lauréat du CORAM 2021

Le CERTES coporte le Projet « MCP+ » qui fait partie des 8 lauréats du CORAM 2021 (Comité d’orientation pour la recherche automobile et mobilité) annoncés le 28/01/2022 par Monsieur Bruno Le Maire, ministre de [...]

November 2020

July 2020

Experimental Investigation of Palm Fiber Surface Treatment Effect on Thermal, Acoustical, and Mechanical Properties of a New Bio-Composite

This work presented an experimental investigation on the use of a bio-composite as an insulating material in building. During the past few years, many projects have tried to create new composites with a high insulating properties, essentially thermal, which plays an important role in buildings energy efficiency (Chikhi et al. in Energy Build 66:267–273, 2013).

Experimental Investigation of Palm Fiber Surface Treatment Effect on Thermal, Acoustical, and Mechanical Properties of a New Bio-Composite

This work presented an experimental investigation on the use of a bio-composite as an insulating material in building. During the past few years, many projects have tried to create new composites with a high insulating properties, essentially thermal, which plays an important role in buildings energy efficiency (Chikhi et al. in Energy Build 66:267–273, 2013).

Measurement of pore size distribution of building materials by thermal method

The present work focuses on the study of the thermophysical properties of low porous insulation materials. In peculiar, we investigate the pore structure of composite materials and cements by thermal method. This method, adapted for fragile materials, is based on an existing model which allows the determination of pore size distribution. Firstly, the existing analytical model is presented. The thermal conductivity is modeled by assimilating the studied medium to N fluid phases and one solid phase in series / parallel. Secondly, some extensions to this model are proposed. In particular, we show that in the case of a single pore size, it is possible to obtain a finer pore size distribution by means of a normal law. We also show for the first time that the normalization of the thermal conductivity is an interesting way to study the pore size distribution of a material without knowing the overall porosity rate (which strongly depends on the method used). Furthermore, this model and its extensions have been successfully applied to different kinds of materials (plant fiber composites and cements). Fibers reinforced composites have one class of pores around 30 – 60 lm. Chemical treatments do not affect this pore size. Cements show a macroporosity (around 20 lm) which is often underestimated.

Measurement of pore size distribution of building materials by thermal method

The present work focuses on the study of the thermophysical properties of low porous insulation materials. In peculiar, we investigate the pore structure of composite materials and cements by thermal method. This method, adapted for fragile materials, is based on an existing model which allows the determination of pore size distribution. Firstly, the existing analytical model is presented. The thermal conductivity is modeled by assimilating the studied medium to N fluid phases and one solid phase in series / parallel. Secondly, some extensions to this model are proposed. In particular, we show that in the case of a single pore size, it is possible to obtain a finer pore size distribution by means of a normal law. We also show for the first time that the normalization of the thermal conductivity is an interesting way to study the pore size distribution of a material without knowing the overall porosity rate (which strongly depends on the method used). Furthermore, this model and its extensions have been successfully applied to different kinds of materials (plant fiber composites and cements). Fibers reinforced composites have one class of pores around 30 – 60 lm. Chemical treatments do not affect this pore size. Cements show a macroporosity (around 20 lm) which is often underestimated.

Go to Top