Conference Proceeding

Carbon based nanomaterial composites in RAM and microwave shielding applications

08/2009; In proceeding of: Nanotechnology, 2009. IEEE-NANO 2009. 9th IEEE Conference on
Source: IEEE Xplore

ABSTRACT This work deals with the design of electromagnetic absorber of interest in radar absorbing material (RAM) and microwave shielding systems. This absorber is based on a multilayer structure and the parameters taken into account are: number of layers, absorption maximization, microwave angle of incidence and frequency band. Design and optimization of the absorber are carried out using a genetic algorithm (GA) and are based on actual electrical parameters values. Such stochastic method leads to the best trade off between absorption properties and structure thickness, minimizing both the reflection coefficient (RC) and the global multilayer thickness (Thick). All the (carbon based) dielectric materials adopted in GA have been characterized as a function of frequency beforehand and their characteristic impedances inserted in a database (DB) to be available during design stage. In particular, employed materials consist of epoxy resin reinforced with three different carbon species: micro sized granular graphite, single walled carbon nanotubes (SWCNT) and carbon nanofibers (CNF). The morphology of the multilayer structures is fixed a priori, - i.e., composite material type and its location in the multilayer structure is given - and the stochastic optimization procedure can only decide the best thickness of each layer. Main goals have been achieved and the possibility of realizing a quasi-perfect microwave absorber through graphite and nanomaterials has been demonstrated.

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Keywords

absorption properties
 
actual electrical parameters values
 
characteristic impedances
 
composite material type
 
design stage
 
different carbon species
 
frequency band
 
genetic algorithm
 
global multilayer thickness
 
Main goals
 
micro sized granular graphite
 
microwave angle
 
multilayer structure
 
multilayer structures
 
nanomaterials
 
radar absorbing material
 
reflection coefficient
 
single walled carbon nanotubes
 
stochastic optimization procedure
 
structure thickness