[00194] Recent Progress of Computational Electromagnetics
Session Time & Room : 1E (Aug.21, 17:40-19:20) @E705
Type : Proposal of Minisymposium
Abstract : This minisymposium will feature the recent advances and challenges in the field of computational electromagnetics. The topics covered in the minisymposium will include (but be not limited to) novel numerical methods and techniques for solving electromagnetic partial differential equations, e.g., use of the extended finite element methods in eddy-current problem, and balancing domain decomposition method for large-scale parallel computation for electromagnetic fields.
[03979] Application of POD to solve non linear magnetoquasistatic FE problems
Format : Online Talk on Zoom
Author(s) :
Stephane Clenet (AMValorArts et Métiers Science and Technology)
Thomas Henneron (University of Lille)
Theo Delagnes (EdF R&D)
Abstract : The Finite Element (FE) method is widely used to build accurate models of electrical devices but leads to the solution of large scale equation systems. To overcome this issue, model order reduction methods, like Proper Orthogonal Decomposition (POD), can significantly reduce the size of the equation system. In the presentation, the principles of POD method will be presented and how it can be applied to reduce FE model of non linear magnetoquasistatics problems. Application examples (transformers, electrical machines….) are given to illustrate the effectiveness of the POD method and also its limitations.
[04030] BDD-DIAG Preconditioner of the Interface Problem for Magnetostatic Domain Decomposition Analysis
Format : Online Talk on Zoom
Author(s) :
Hiroshi Kanayama (Japan Women's University)
Masao Ogino (Daido University)
Shin-ichiro Sugimoto (Hachinohe Institute of Technology)
Kaworu Yodo (Insight Inc.)
Abstract : An iterative domain decomposition method is proposed for numerical analysis of 3-Dimensional linear
magnetostatic problems taking the magnetic vector potential as an unknown function. The iterative
domain decomposition method is combined with the Preconditioned Conjugate Gradient procedure
and the Hierarchical Domain Decomposition Method which is adopted in parallel computing. Our
previously employed preconditioner was the Neumann-Neumann preconditioner. Numerical results
showed that the method was only effective for smaller problems. In this paper, we consider its
improvement with the Balancing Domain Decomposition DIAGonal scaling (BDD-DIAG) preconditioner.
[04666] Reduced Order Modeling of a Cage Induction Motor with Skewed Rotor Slots
Format : Online Talk on Zoom
Author(s) :
Yasuhito Takahashi (Doshisha University)
Koji Fujiwara (Doshisha University)
Kengo Sugahara (Kindai University)
Tetsuji Matsuo (Kyoto University)
Abstract : A method for deriving a reduced-order model of cage induction motors with skewed rotor slots is investigated based on the multiport Cauer ladder network method. The features of the several formulations for the skewed rotor are discussed, in which the continuity of the bar currents and the space harmonics included in the air-gap flux density waveform are treated differently. The effectiveness of the developed methods is verified from the viewpoints of computational accuracy and cost.
[05040] Introducing extended finite element approaches in eddy currents analysis
Format : Talk at Waseda University
Author(s) :
Shingo Hiruma (Kyoto University)
Abstract : In recent years, the evaluation of eddy current losses caused by harmonic components in power supplies has become increasingly important. However, the conventional finite element method requires the conductor region to be divided into fine elements, which results in high computational cost. In this study, we apply the extended finite element approach to high-frequency eddy current analysis and show that accurate analysis can be performed with low computational cost.
