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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/8104
Title: ANN-Based Two-Layer Absorber Design Using Fe-Al Hybrid Nano-Composites for Broad Bandwidth Microwave Absorption
Authors: Najim M.
Puthucheri S.
Agarwala V.
Singh, Dharmendra
Published in: IEEE Transactions on Magnetics
Abstract: In the current scenario, the foremost use of microwave absorbers, such as stealth applications and electromagnetic (EM) wave shielding, demands thin and broad bandwidth microwave absorber. In this paper, an attempt is made to fabricate a 'cost-effective' composite material, which has good absorption properties, and furthermore, to reduce the coating thickness, the multi-layering approach has been adopted. Because of the excellent magneto-dielectric properties, Fe and Al metal powders were chosen. To see the effect of particle size over microwave absorption property of Fe-Al hybrid nano-composites, the composite was milled for 40 h with an interval of 5 h using the mechano-chemical route. The phase analysis, morphology, and magnetic studies have been carried out for prepared samples and correlated with EM wave properties. The permittivity and permeability values in the frequency range of 4-14 GHz were determined using coaxial reflection/transmission method, and reflection loss (RL) has also been computed. The broad bandwidth of 9.35 GHz (4.65-14 GHz) has been achieved for 40 h milled nano-composite (size 40 nm) with a coating thickness of 3 mm. For the reduction in the coating thickness, the multi-layering approach has been applied, and an artificial neural network-based method has been proposed to predict each layer thickness and material sequence. The computed results of RL for two-layer absorber exhibit a reduction in the thickness from 3 to 1.96 mm. © 2016 IEEE.
Citation: IEEE Transactions on Magnetics (2016), 52(12): -
URI: https://doi.org/10.1109/TMAG.2016.2598530
http://repository.iitr.ac.in/handle/123456789/8104
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Artificial neural network (ANN)
microwave absorption
multi-layering
nano-composites
ISSN: 189464
Author Scopus IDs: 49561789300
53985107300
7005242439
36912015700
Author Affiliations: Najim, M., Department of Electronics and Communication Engineering, Microwave Imaging and Space Technology Application Laboratory, Centre of Excellence: Nanotechnology, Roorkee, 247667, India
Puthucheri, S., Department of Electronics and Communication Engineering, Microwave Imaging and Space Technology Application Laboratory, Centre of Excellence: Nanotechnology, Roorkee, 247667, India
Agarwala, V., Department of Electronics and Communication Engineering, Microwave Imaging and Space Technology Application Laboratory, Centre of Excellence: Nanotechnology, Roorkee, 247667, India
Singh, D., Department of Electronics and Communication Engineering, Microwave Imaging and Space Technology Application Laboratory, Centre of Excellence: Nanotechnology, Roorkee, 247667, India
Appears in Collections:Journal Publications [ECE]

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