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Methodological Principles for Determining Electrophysical Parameters of Materials and Coatings with a Complex Internal Structure Using Surface Electromagnetic Waves

  • RADIO-WAVE TECHNIQUES
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Abstract

A formalized description of the methods of surface electromagnetic waves used to determine the electrophysical and geometric parameters of materials and coatings with a complex internal structure (multilayer and anisotropic materials and coatings, metamaterials, and materials and coatings with defects) is presented. The developed principles of using surface electromagnetic waves for measuring purposes make it possible, within the framework of a unified methodological approach, to determine the electrophysical and geometric parameters of any types of flat-layered materials and coatings with a complex internal structure in a single measurement cycle under the same conditions (placement on a metal substrate, structural composite material, etc.). Depending on the type of material or coating under study, the set of electrophysical parameters to be evaluated, and the accuracy of their determination, the developed approaches allow one to select the required set of physically measured characteristics of the field of surface electromagnetic waves, the bandwidth of measurements, and their number. Experimental studies of two- and three-layer dielectric coatings have shown that with a measurement bandwidth of 9–13 GHz, estimation of the layer with dielectric permittivity of at most 6% and the layer with a thicknesses of at most 5.5% is provided with a confidence level of 0.95.

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ACKNOWLEDGEMENTS

The author thanks his scientific adviser for the doctoral program, Doctor of Technical Sciences, Prof. P.A. Fedyunin, for help in writing this paper.

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  1. Zhukovsky and Gagarin Voronezh Air Force Academy, 394064, Voronezh, Russia

    A. I. Kaz’min

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Kaz’min, A.I. Methodological Principles for Determining Electrophysical Parameters of Materials and Coatings with a Complex Internal Structure Using Surface Electromagnetic Waves. Russ J Nondestruct Test 58, 205–220 (2022). https://doi.org/10.1134/S1061830922030032

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