Selection of a mixing model and determination of inclusion microwave permeability for a composite filled with metal powder

A method to retrieve permeability of a metal inclusion from the measured constitutive parameters of a single composite sample of known structure and filling is developed. Treating constitutive parameters for a set of fillings increases accuracy of inclusion permeability determination and makes it po...

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Bibliographic Details
Published in:	Journal of magnetism and magnetic materials Vol. 459; pp. 305 - 310
Main Authors:	Starostenko, Sergey N., Rozanov, Konstantin N., Shiryaev, Artem O., Lagarkov, Andey N., Shalygin, Alexander N.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01-08-2018 Elsevier BV
Subjects:	Characteristic impedance Composite materials Composite structure Crystal structure Inclusion susceptibility Inclusions Magnetic spectrum Magnetism Mathematical models Matrix methods Metal ellipsoid Metal powders Microwave heating Microwave permeability Mixing model Parameters Percolation threshold Permeability Permittivity Powder metallurgy Percolation threshold Mixing model Characteristic impedance Microwave permeability Magnetic spectrum Permittivity Metal ellipsoid Composite structure Inclusion susceptibility
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Summary:	A method to retrieve permeability of a metal inclusion from the measured constitutive parameters of a single composite sample of known structure and filling is developed. Treating constitutive parameters for a set of fillings increases accuracy of inclusion permeability determination and makes it possible to select the appropriate mixing model for the composite. The method is applied to determine microwave permeability of sendust inclusions from the measured permeability and permittivity spectra for a set of composites filled with sendust flakes and spheres. The calculations are performed for symmetric (Bruggeman type) and for matrix (Maxwell Garnett type) structures. The composites are shown to have the matrix structure. The retrieved permeability of inclusions is in good agreement with the data calculated with the parameters of generalized matrix mixing model that accounts for percolation threshold.
ISSN:	0304-8853 1873-4766
DOI:	10.1016/j.jmmm.2017.10.021