Title :
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.
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;
Conference_Titel :
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location :
Miami, FL
Print_ISBN :
1-4244-0320-0
DOI :
10.1109/CEFC-06.2006.1632911
