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.
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.
In this paper, some absorbing structures made of three or four FSS sheets with total thicknesses around 6 mm are synthesized.
NNs' accuracy used in the equivalent model can be refined with further training.
Low profile absorbing materials are of relevant industrial interest both for radar cloaking and anechoic chambers.
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.
d'Elia, U., Pelosi, G., Selleri, S. and Taddei, R. (2013), "Finite element design of CNT-based multilayer absorbers", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 32 No. 6, pp. 1929-1942. https://doi.org/10.1108/COMPEL-09-2012-0187Download as .RIS
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