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

Publikation: Beitrag in einer FachzeitschriftArtikel

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.

Originalspracheenglisch
Aufsatznummer7047818
Seiten (von - bis)349-356
Seitenumfang8
FachzeitschriftIEEE Transactions on Electromagnetic Compatibility
Jahrgang57
Ausgabenummer3
DOIs
PublikationsstatusVeröffentlicht - 1 Jun 2015
Extern publiziertJa

ASJC Scopus subject areas

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

Fingerprint

Untersuchen Sie die Forschungsthemen von „Extraction of Permittivity and Permeability for Ferrites and Flexible Magnetodielectric Materials Using a Genetic Algorithm“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren