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

Author

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

Author_Institution

Electromagn. Compatibility Lab., Southeast Univ., Nanjing, China

Volume

57

Issue

3

fYear

2015

fDate

Jun-15

Firstpage

349

Lastpage

356

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.

Keywords

S-parameters; composite materials; dielectric materials; ferrites; finite element analysis; fixtures; genetic algorithms; iterative methods; magnetic permeability; materials testing; network analysers; 2D-FEM code; GA; PTFE; S-parameter; coaxial fixture; ferrites; flexible magnetodielectric composite material; frequency-dispersive MUT; genetic algorithm; material under test; multiterm Debye model; optimization; permeability extraction; two-dimensional finite-element method; vector network analyzer; virtual magnetic material; wideband complex permittivity extraction; Ferrites; Genetic algorithms; Optimization; Permeability; Permittivity; Scattering parameters; Dispersive media; ferrites; finite-element methods (FEM); genetic algorithm (GA); magnetodielectric materials;

fLanguage

English

Journal_Title

Electromagnetic Compatibility, IEEE Transactions on

Publisher

ieee

ISSN

0018-9375

Type

jour

DOI

10.1109/TEMC.2015.2389332

Filename

7047818