Extraction of Permittivity and Permeability for Ferrites and Flexible Magnetodielectric Materials Using a Genetic Algorithm

Shenhui Jing, Yao Jiang Zhang, Jing Li, Dazhao Liu, Marina Y. Koledintseva, David J. Pommerenke, Jun Fan, James L. Drewniak

Research output: Contribution to journalArticle

Abstract

A hybrid approach, based on the two-dimensional finite-element method (2-D-FEM) and a genetic algorithm (GA) optimization, is used to extract relative permittivity and permeability of ferrites and flexible magnetodielectric composite materials over wide frequency bands. S-parameters of a material under test (MUT) placed into a coaxial fixture are measured by a vector network analyzer and simulated using the 2-D-FEM code. The GA optimization procedure is then used to minimize the discrepancies between the measured and simulated S-parameters by iteratively searching the possible best permittivity and permeability. Multiterm Debye models of wideband complex permittivity and permeability are employed here for a frequency-dispersive MUT. This greatly reduces the number of unknowns in the GA optimization. The proposed method is tested with PTFE and a virtual magnetic material.

Original languageEnglish
Article number7047818
Pages (from-to)349-356
Number of pages8
JournalIEEE Transactions on Electromagnetic Compatibility
Volume57
Issue number3
DOIs
Publication statusPublished - 1 Jun 2015
Externally publishedYes

Keywords

  • Dispersive media
  • ferrites
  • finite-element methods (FEM)
  • genetic algorithm (GA)
  • magnetodielectric materials

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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