A Two-Component Heterogenous System with the Formation of the Perflance Threshold due to Inversion of the Matrix Structure

The possibility of determining the magnetic susceptibility of metal inclusions from measured material parameters of binary composites using known mixing models is considered. A model is proposed that considers the inversion of the matrix structure of the Maxwell–Garnett model for a filler concentrat...

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Veröffentlicht in:Journal of communications technology & electronics 2020-12, Vol.65 (12), p.1407-1413
Hauptverfasser: Starostenko, S. N., Rozanov, K. N., Bobrovskii, S. Yu, Shiryaev, A. O.
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container_end_page 1413
container_issue 12
container_start_page 1407
container_title Journal of communications technology & electronics
container_volume 65
creator Starostenko, S. N.
Rozanov, K. N.
Bobrovskii, S. Yu
Shiryaev, A. O.
description The possibility of determining the magnetic susceptibility of metal inclusions from measured material parameters of binary composites using known mixing models is considered. A model is proposed that considers the inversion of the matrix structure of the Maxwell–Garnett model for a filler concentration close to the percolation threshold. It is determined that restructuring the composite occurs gradually in the region of transition concentrations the width of which is an additional parameter determined from the experiment. The proposed model is compared with the effective medium model in terms of the dependences of complex susceptibility on filling and frequency. The reliability of the model is illustrated by processing the material parameters of composites with carbonyl nickel as a filler measured in the frequency range 0.1–20 GHz.
doi_str_mv 10.1134/S1064226920120177
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subjects Carbonyls
Communications Engineering
Composite materials
Engineering
Fillers
Frequency ranges
Inclusions
Magnetic permeability
Mathematical models
Networks
Parameters
Percolation
Radio Phenomena in Solids and Plasma
title A Two-Component Heterogenous System with the Formation of the Perflance Threshold due to Inversion of the Matrix Structure
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