[en] Polymeric foams used in electromagnetic shielding applications are characterized using X-ray microtomography. These foams contain a conductive nanometric reinforcement, carbon nanotubes, but the scale of characterization described here is that of the microscopic cells. Although nanotube dispersion is important for the final properties of the material, the structure and distribution of the porosity also play a role in terms of dielectric constant and conductivity. Unfortunately, cell wall thinness and limited resolution of laboratory microtomographs makes poper cell identification difficult. Therefore we present a new statistical method based on the 3D autocorrelation function, that allows to some extent to measure mean cell size and structure anisotropy.
Research Center/Unit :
Faculty of Applied Sciences, Laboratory of Chemical Engineering, ULG
Disciplines :
Chemistry Materials science & engineering
Author, co-author :
Plougonven, Erwan ; Université de Liège - ULiège > Département de chimie appliquée > Génie chimique - Procédés et développement durable
Marchot, Pierre ; Université de Liège - ULiège > Département de chimie appliquée > Génie chimique - Systèmes polyphasiques
Detrembleur, Christophe ; Université de Liège - ULiège > Centre d'études et de rech. sur les macromolécules (CERM)
Tran, Minh Phuong ; Université de Liège - ULiège > Centre d'études et de rech. sur les macromolécules (CERM)
Léonard, Angélique ; Université de Liège - ULiège > Département de chimie appliquée > Génie chimique - Procédés et développement durable
Language :
English
Title :
Methodology for the characterization of the microstructure of nanocomposite polymeric foams using X-ray microtomography
Publication date :
13 April 2011
Event name :
SkyScan Micro-CT User Meeting 2011
Event organizer :
Skyscan
Event place :
Leuven, Belgium
Event date :
du 13 avril 2011 au 15 avril 2011
Audience :
International
Main work title :
Micro-CT User Meeting Abstract Book
ISBN/EAN :
9789081678100
Name of the research project :
From imaging to geometrical modelling of complex micro-structured materials: Bridging computational engineering and material science
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