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In this study, we estimate the locally defined permeability of the magnetizing particles in a soft magnetic composite (SMC) material whose effective permeability, observed by macroscopic measurements, is known. This procedure is repeated for a wide range of geometries whose electrical insulation layer thicknesses between the magnetizing particles are altered. It is shown that even if the effective permeability of the material is known by some measurement, the permeabilities of the individual particles cannot be immediately determined but remain heavily dependent on the thicknesses of the insulation films. This dependence is quantified. It is shown that when using periodic geometries to imitate SMC materials, one also has to use higher local permeabilities for the magnetizing particles or thinner insulations between the particles compared with the situation where randomized structures are used in order to obtain the effective permeability determined by measurements. [ABSTRACT FROM AUTHOR]

The main purpose of this paper is to describe a new algorithmic method to imitate 3-D geometries of soft magnetic composite materials. This method allows constructing various kinds of geometries for experimenting how certain geometric features affect different electromagnetic properties of the materials. Using the geometry imitations, we demonstrate that in order to explain the nonlinear static magnetic behavior of a certain composite, it is not necessary to assume contacts between the neighboring particles in the material. The contacts may instead be replaced by thin gaps. [ABSTRACT FROM AUTHOR]