Journal: IEEE Transactions on Magnetics

Abbreviation

IEEE Trans. Magn.

Publisher

IEEE

Journal Volumes

ISSN

0018-9464
1941-0069

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Publications 1 - 10 of 51
  • The multiple multipole method (MMP) in electro- and magnetostatic problems
    Item type: Journal Article
    Ballisti, R.; Hafner, Christian (1983)
    IEEE Transactions on Magnetics
  • Coupled Electromagnetic-Mechanical Dynamic Analysis of Generator Circuit Breakers
    Item type: Journal Article
    Smajic, Jasmin; Jäger, Cornelius; Neubauer, Severin; et al. (2014)
    IEEE Transactions on Magnetics
  • Three-Dimensional Magnetic Manipulation of Micro- and Nanostructures for Applications in Life Sciences
    Item type: Journal Article
    Schuerle, Simone; Erni, Sandro; Flink, Maarten; et al. (2013)
    IEEE Transactions on Magnetics
  • Semi-Analytical Non-Linear Physical Model of Core Losses in Ferrite Ring Cores
    Item type: Journal Article
    Dimier, Théophane; Biela, Jürgen (2023)
    IEEE Transactions on Magnetics
    To calculate ferrite core losses based on a physical approach, non-linear material effects must be considered. To implement these effects in a fast and accurate way, a new semi-analytical model is proposed. It combines the solution of the wave equation in the core with advanced material models of ferrite into an iterative procedure. The results validate the approach, which enables a fast calculation of the core losses.
  • Non-Linear Material Model of Ferrite to Calculate Core Losses with Full Frequency and Excitation Scaling
    Item type: Journal Article
    Dimier, Théophane; Biela, Jürgen (2023)
    IEEE Transactions on Magnetics
    A material model for ferrite is presented, enabling an accurate calculation of the core losses from 100 kHz to 1000 kHz with a single set of scalar parameters over a decade of excitation current. It is based on the modelling of different material effects such as quantum tunnelling conduction between ferrite grains and atomic level magnetisation. The implications of the satisfying results of this approach on core loss modelling techniques at high frequencies are discussed.
  • Coupled Electromagnetic and Hydrodynamic Modeling for Semiconductors Using DGTD
    Item type: Journal Article
    Güngör, Arif; Ehrengruber, Till; Smajic, Jasmin; et al. (2021)
    IEEE Transactions on Magnetics
    A hydrodynamic model (HDM) solver based on discontinuous Galerkin time domain finite element method (DGTD-FEM) has been developed in order to simulate the transient charge transport in semiconductors. The bipolar transport equations have been numerically solved together with the Poisson equation to realize ballistic charge transport in semiconductor devices. Furthermore, the developed solver is coupled with an FEM-based full-wave Maxwell solver in order to model the behavior of semiconductors under external electromagnetic illumination. This multiphysics coupled solver is capable of simulating transient behavior of photoactive semiconductor devices that are illuminated by externally modulated light at high frequencies. With the time domain HDM solver, the inertia effects and ballistic transport are also accounted in the accurate transient simulations of high-frequency photoactive devices.
  • Efficient Partial Elements Computation for the Non-Orthogonal PEEC Method Including Conductive, Dielectrics, and Magnetic Materials
    Item type: Journal Article
    Romano, Daniele; Di Angelo, Luca; Kovacevic-Badstuebner, Ivana; et al. (2022)
    IEEE Transactions on Magnetics
    The partial-element equivalent circuit method is a well-known numerical technique that is used to solve Maxwell's equations in their integral equation form. The application of the partial-element equivalent circuit (PEEC) method to modeling domains with non-orthogonal three-dimensional geometries requires the computation of the interaction integrals to be performed numerically, thus slowing down the overall computation. This work presents a new technique that allows improving the computation of the interaction integrals of the PEEC method for non-orthogonal geometries under the quasi-static hypothesis. To this purpose, a voxelization approach that automatically decomposes non-orthogonal volumes in elementary parallelepipeds is used, allowing the implementation of closed-form formulas for the interaction integrals and completely avoiding numerical integration. The proposed approach is applied to three example problems exhibiting very good accuracy and excellent speed-up compared with the standard one using the numerical integration.
  • Coupled FEM-MMP for Computational Electromagnetics
    Item type: Journal Article
    Smajic, Jasmin; Hafner, Christian; Leuthold, Juerg (2015)
    IEEE Transactions on Magnetics
  • Design and Development of a 26-Pole and 24-Slot Bearingless Motor
    Item type: Journal Article
    Zürcher, Franz; Nussbaumer, Thomas; Gruber, Wolfgang; et al. (2009)
    IEEE Transactions on Magnetics
  • Using Synthetic Data in Supervised Learning for Robust 5-DoF Magnetic Marker Localization
    Item type: Journal Article
    Wu, Mengfan; Langerak, Thomas; Hilliges, Otmar; et al. (2024)
    IEEE Transactions on Magnetics
    Tracking passive magnetic markers plays a vital role in advancing healthcare and robotics, offering the potential to significantly improve the precision and efficiency of systems. This technology is key to developing smarter, more responsive tools and devices, such as enhanced surgical instruments, precise diagnostic tools, and robots with improved environmental interaction capabilities. However, traditionally, the tracking of magnetic markers is computationally expensive due to the requirement for iterative optimization procedures. Moreover, these methods depend on the magnetic dipole model for their optimization function, which can yield imprecise outcomes due to the model's significant inaccuracies when dealing with short distances between non-spherical magnet and sensor. Our article introduces a novel approach that leverages neural networks (NNs) to bypass these limitations, directly inferring the marker's position and orientation to accurately determine the magnet's five degrees of freedom (5 DoFs) in a single step without initial estimation. Although our method demands an extensive supervised training phase, we mitigate this by introducing a computationally more efficient method to generate synthetic, yet realistic data using Finite Element Methods simulations. Our novel method uses the rotational symmetry of axis-symmetric magnetic markers to transform the 3-D simulations into 2-D. The benefits of fast and accurate inference significantly outweigh the offline training preparation. In our evaluation, we use different cylindrical magnets, tracked with a square array of 16 sensors. We perform the sensors' reading and position inference on a portable, NN-oriented single-board computer, ensuring a compact setup. We benchmark our prototype against vision-based ground-truth data, achieving a mean positional error of 4 mm and an orientation error of 8 degrees within a $0.2\times 0$ . $2\times 0$ .15 m working volume. These results showcase our prototype's ability to balance accuracy and compactness effectively in tracking 5 DoFs.
Publications 1 - 10 of 51