Title : 
Using the FEM Meshes Adaption and Genetic Algorithms for Identification of Permeability in Normal Direction of Anisotropic Sheets
         
        
            Author : 
Komeza, K. ; Juszczak, E. Napieralska ; Barba, P. Di ; Napieralski, P. ; Lecointe, J.P. ; Hihat, N.
         
        
            Author_Institution : 
Inst. of Mechatron. & Inf. Syst., Tech. Univ. of Lodz, Lodz, Poland
         
        
        
        
        
        
        
            Abstract : 
This paper proposes the identification of the B-H curve of anisotropic magnetic laminations in the direction normal to the sheet surface. An automated procedure for linking an identification algorithm implemented in a Matlab environment with a commercial finite-element code Opera for 3-D magnetic field analysis has been used. In particular, an optimization procedure is proposed, where the computation time is reduced by adjusting the refinement of the FEM mesh. The use of a multiprocessor computer allowed to perform parallel computations and to realize the calculation in a reasonable time. The finite element mesh density is changed during operation of the procedure depending on the level of magnetic flux density difference between calculation and measurements.
         
        
            Keywords : 
genetic algorithms; interface magnetism; laminates; magnetic anisotropy; magnetic flux; magnetic permeability; mesh generation; parallel algorithms; physics computing; 3D magnetic field analysis; B-H curve identification; FEM mesh adaption; FEM mesh refinement; Matlab environment; anisotropic magnetic laminations; anisotropic sheet direction; automated procedure; computation time; finite element mesh density; finite-element code Opera; genetic algorithms; identification algorithm; magnetic flux density difference level; multiprocessor computer; optimization procedure; parallel computations; permeability identification; sheet surface; Air gaps; Current measurement; Genetic algorithms; Optimization; Perpendicular magnetic anisotropy; Saturation magnetization; Adaptive mesh refinement; electromagnetic measurements; finite element methods; genetic algorithms; magnetic anisotropy; parallel algorithms;
         
        
        
            Journal_Title : 
Magnetics, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TMAG.2011.2172396