Reference : Methodology for the characterization of the microstructure of nanocomposite polymeric fo...
Scientific congresses and symposiums : Paper published in a book
Physical, chemical, mathematical & earth Sciences : Chemistry
Engineering, computing & technology : Materials science & engineering
http://hdl.handle.net/2268/92765
Methodology for the characterization of the microstructure of nanocomposite polymeric foams using X-ray microtomography
English
Plougonven, Erwan [Université de Liège - ULg > Département de chimie appliquée > Génie chimique - Procédés et développement durable >]
Marchot, Pierre mailto [Université de Liège - ULg > Département de chimie appliquée > Génie chimique - Systèmes polyphasiques >]
Detrembleur, Christophe mailto [Université de Liège - ULg > > Centre d'études et de rech. sur les macromolécules (CERM) >]
Tran, Minh Phuong mailto [Université de Liège - ULg > > Centre d'études et de rech. sur les macromolécules (CERM) >]
Léonard, Angélique mailto [Université de Liège - ULg > Département de chimie appliquée > Génie chimique - Procédés et développement durable >]
13-Apr-2011
Micro-CT User Meeting Abstract Book
No
No
International
9789081678100
SkyScan Micro-CT User Meeting 2011
du 13 avril 2011 au 15 avril 2011
Skyscan
Leuven
Belgium
[en] Polymeric foam ; Microtomography ; Autocorrelation ; Nanocomposites
[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.
Faculty of Applied Sciences, Laboratory of Chemical Engineering, ULG
ARC 09/14-2
From imaging to geometrical modelling of complex micro-structured materials: Bridging computational engineering and material science
Researchers ; Professionals
http://hdl.handle.net/2268/92765

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