Fuzzy Logic Adaptive Mesh Refinement for 3D Nonlinear Magnetostatic Problems Using Integral Equation Method

Author

Hafla, W. ; Buchau, A. ; Bardakcioglu, A. ; Scheiblich, C. ; Rucker, W.M.

Author_Institution

Inst. for Theory of Electr. Eng., Stuttgart Univ.

fYear

0

fDate

0-0 0

Firstpage

119

Lastpage

119

Abstract

Adaptive mesh refinement for the solution of nonlinear magnetostatic field problems is used to improve the ratio between computational costs and accuracy. Although various local refinement indicators can be used to rate the local mesh density, often only a few of them are considered in combination. Since an increased number of indicators allows for better control of mesh refinement, an expert system based on fuzzy logic has been developed. it was used with the integral equation method and the field problem setup of TEAM Workshop Problem 20

Keywords

computational electromagnetics; fuzzy logic; integral equations; magnetostatics; 3D nonlinear magnetostatic field problems; TEAM Workshop Problem 20; computational costs; fuzzy logic adaptive mesh refinement; integral equation method; local mesh density; local refinement indicators; Adaptive mesh refinement; Computational efficiency; Control systems; Expert systems; Finite element methods; Fuzzy logic; Integral equations; Magnetostatics; Mesh generation; Permeability;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on

Conference_Location

Miami, FL

Print_ISBN

1-4244-0320-0

Type

conf

DOI

10.1109/CEFC-06.2006.1632911

Filename

1632911