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1 – 1 of 1Ugo d'Elia, Giuseppe Pelosi, Stefano Selleri and Ruggero Taddei
A design procedure for multi-layer absorbers based on carbon nanotubes (CNT) frequency selective surfaces (FSS) sheets is here developed. The paper aims to discuss there issues…
Abstract
Purpose
A design procedure for multi-layer absorbers based on carbon nanotubes (CNT) frequency selective surfaces (FSS) sheets is here developed. The paper aims to discuss there issues.
Design/methodology/approach
Single layer FSS are first analyzed via finite element (FE). Then equivalent sheets admittances are extracted in a transmission line model. Neural networks (NNs) interpolation over this data and subsequent multi-objective genetic algorithm (GA) based optimizations are then performed to design multiple layers absorbing structures. Designs are finally validated via full wave FEM simulations.
Findings
In this paper, some absorbing structures made of three or four FSS sheets with total thicknesses around 6 mm are synthesized.
Research limitations/implications
NNs' accuracy used in the equivalent model can be refined with further training.
Practical implications
Low profile absorbing materials are of relevant industrial interest both for radar cloaking and anechoic chambers.
Originality/value
The transmission line model combined with NNs and GA optimization is capable of speeding up the design procedure with respect to a conventional full-wave FEM approach.
Details