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Start Over Search Limiters Full Text Journal ieee transactions on magnetics Publisher ieee (institute of electrical and electronics engineers)
4 results

1. Analysis of Magnetic Properties of Soft Magnetic Composite Using Discrete Element Method

Author

Akito Maruo and Hajime Igarashi

Subjects
010302 applied physics, discrete element method (DEM), magnetic permeability, Materials science, Magnetic domain, Condensed matter physics, Magnetic composite, Anomaly factor, 01 natural sciences, Magnetic flux, Discrete element method, Finite element method, Statistics::Computation, Electronic, Optical and Magnetic Materials, Homogeneous, Permeability (electromagnetism), 0103 physical sciences, Ollendorff formula, Astrophysics::Solar and Stellar Astrophysics, soft magnetic composite (SMC), Particle size, Electrical and Electronic Engineering, Astrophysics::Galaxy Astrophysics
Abstract

The soft magnetic composite (SMC), which consists of insulated iron particles, has been used for electric machines and devices. The magnetic permeability of SMC is underestimated when it is assumed that SMC is composed of homogeneous particles without magnetic contact. In this paper, SMC is modeled by the discrete element method, considering the inhomogeneity in particle size and contact among particles. It is shown that the measured permeability of SMC can be reproduced by considering these effects. Moreover, the frequency characteristics of SMC are evaluated by the proposed method, and the Ollendorff formula modified with an anomaly factor is introduced.

Published
2019

2. Topology Optimization Using Basis Functions for Improvement of Rotating Machine Performances

Author

Hajime Igarashi and Hidenori Sasaki

Subjects
Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Basis function, Topology (electrical circuits), 02 engineering and technology, Topology, 01 natural sciences, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Shape optimization, Electrical and Electronic Engineering, Linear combination, topology optimization, ComputingMethodologies_COMPUTERGRAPHICS, 010302 applied physics, 020208 electrical & electronic engineering, Topology optimization, polygon morphing, Finite element method, Electronic, Optical and Magnetic Materials, Weighting, finite-element method, Polygon, Synchronous motor
Abstract

This paper presents a new topology optimization method based on basis functions for design of rotating machines. In this method, the core shape of a given rotating machine is represented by the linear combination of the basis functions. The shape is then freely deformed by changing the weighting coefficients to the basis functions to find the optimal shape. The proposed method is compared with the conventional shape optimization based on polygon morphing. The former is shown to outperform the latter in both interior permanent magnet and synchronous motor models.

Published
2018

3. A Computer Aided Education System Based on Augmented Reality by Immersion to 3-D Magnetic Field

Author

Shinya Matsutomo, So Noguchi, Vlatko Cingoski, and Tomohisa Manabe

Subjects
Engineering, Computer science, Optical head-mounted display, 02 engineering and technology, 01 natural sciences, Computer graphics (images), Computer aided education, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Immersion (virtual reality), Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, electromagnetic field analysis, Simulation, visualization, 010302 applied physics, Computer and information sciences, business.industry, GRASP, 020207 software engineering, Magnetic flux, Electronic, Optical and Magnetic Materials, Magnetic field, Visualization, Stereopsis, Magnet, Augmented reality, Augmented reality technology, business
Abstract

An immersive real-time visualization system of 3-D magnetic field for educational purposes is presented. This immersive visualization system is based on augmented reality technology. The proposed system provides observation of a magnetic field distribution and its stereoscopic vision in 3-D space using head mounted display. To improve the visualization capabilities, a new real-time method for drawing magnetic flux lines in 3-D space is developed and presented in this paper. It enables a user to easily observe and grasp a magnetic field generated by multiple sources (e.g., magnets and/or multiple coils) in an augmented 3-D space. Additionally, it permits a user to freely and interactively move the magnetic sources within the visualization space and to observe the magnetic fields interference in real-time. As a result, one can intuitively and easy visualize, observe and grasp the magnetic field even in 3-D space.

Published
2017

4. Adaptive Subdomain Model Order Reduction With Discrete Empirical Interpolation Method for Nonlinear Magneto-Quasi-Static Problems

Author

Hajime Igarashi, Yuki Sato, and Markus Clemens

Subjects
010302 applied physics, Model order reduction, Finite element method (FEM), model order reduction (MOR), magneto-quasi-static (MQS) field, 010103 numerical & computational mathematics, Mixed finite element method, 01 natural sciences, Finite element method, Electronic, Optical and Magnetic Materials, Matrix decomposition, Nonlinear system, 0103 physical sciences, Applied mathematics, nonlinear problem, 0101 mathematics, Electrical and Electronic Engineering, Magneto, Quasistatic process, Mathematics, Interpolation
Abstract

This paper presents a novel adaptive subdomain model order reduction (MOR) based on proper orthogonal decomposition (POD) and discrete empirical interpolation (DEI) methods for nonlinear magneto-quasi-static (MQS) problems. In this method, a nonlinear region is decomposed into two regions, where one of the regions includes all those finite elements that have a particularly strong saturation and the other region does not. MOR based on POD and DEI methods is applied only to the latter region. Both the regions are determined automatically at each time step. It is shown that this method can effectively reduce the computational time to solve the nonlinear MQS problems without losing the quality of accuracy.

Published
2016