Journal articles on the topic 'Magnetoquasistatic'

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1

Arumugam, Darmindra D. "Through-the-Wall Magnetoquasistatic Ranging." IEEE Antennas and Wireless Propagation Letters 16 (2017): 1439–42. http://dx.doi.org/10.1109/lawp.2016.2641421.

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2

Sheiretov, Y., and M. Zahn. "Design and modeling of shaped-field magnetoquasistatic sensors." IEEE Transactions on Magnetics 42, no. 3 (March 2006): 411–21. http://dx.doi.org/10.1109/tmag.2005.860960.

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3

Arumugam, Darmindra D., and David S. Ricketts. "Passive Magnetoquasistatic Position Measurement Using Coupled Magnetic Resonances." IEEE Antennas and Wireless Propagation Letters 12 (2013): 539–42. http://dx.doi.org/10.1109/lawp.2013.2257156.

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4

Bartel, Andreas, Sascha Baumanns, and Sebastian Schöps. "Structural analysis of electrical circuits including magnetoquasistatic devices." Applied Numerical Mathematics 61, no. 12 (December 2011): 1257–70. http://dx.doi.org/10.1016/j.apnum.2011.08.004.

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5

Clemens, M., M. Wilke, and T. Weiland. "Efficient extrapolation methods for electro- and magnetoquasistatic field simulations." Advances in Radio Science 1 (May 5, 2003): 81–86. http://dx.doi.org/10.5194/ars-1-81-2003.

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Abstract. In magneto- and electroquasi-static time domain simulations with implicit time stepping schemes the iterative solvers applied to the large sparse (non-)linear systems of equations are observed to converge faster if more accurate start solutions are available. Different extrapolation techniques for such new time step solutions are compared in combination with the preconditioned conjugate gradient algorithm. Simple extrapolation schemes based on Taylor series expansion are used as well as schemes derived especially for multi-stage implicit Runge-Kutta time stepping methods. With several initial guesses available, a new subspace projection extrapolation technique is proven to produce an optimal initial value vector. Numerical tests show the resulting improvements in terms of computational efficiency for several test problems. In quasistatischen elektromagnetischen Zeitbereichsimulationen mit impliziten Zeitschrittverfahren zeigt sich, dass die iterativen Lösungsverfahren für die großen dünnbesetzten (nicht-)linearen Gleichungssysteme schneller konvergieren, wenn genauere Startlösungen vorgegeben werden. Verschiedene Extrapolationstechniken werden für jeweils neue Zeitschrittlösungen in Verbindung mit dem präkonditionierten Konjugierte Gradientenverfahren vorgestellt. Einfache Extrapolationsverfahren basierend auf Taylorreihenentwicklungen werden ebenso benutzt wie speziell für mehrstufige implizite Runge-Kutta-Verfahren entwickelte Verfahren. Sind verschiedene Startlösungen verfügbar, so erlaubt ein neues Unterraum-Projektion- Extrapolationsverfahren die Konstruktion eines optimalen neuen Startvektors. Numerische Tests zeigen die aus diesen Verfahren resultierenden Verbesserungen der numerischen Effizienz.
6

Arumugam, D. D., J. D. Griffin, D. D. Stancil, and D. S. Ricketts. "Error Reduction in Magnetoquasistatic Positioning Using Orthogonal Emitter Measurements." IEEE Antennas and Wireless Propagation Letters 11 (2012): 1462–65. http://dx.doi.org/10.1109/lawp.2012.2229958.

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7

Schöps, Sebastian, Herbert De Gersem, and Thomas Weiland. "Winding functions in transient magnetoquasistatic field-circuit coupled simulations." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 32, no. 6 (November 11, 2013): 2063–83. http://dx.doi.org/10.1108/compel-01-2013-0004.

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8

Arumugam, Darmindra D. "Decoupled Range and Orientation Sensing in Long-Range Magnetoquasistatic Positioning." IEEE Antennas and Wireless Propagation Letters 14 (2015): 654–57. http://dx.doi.org/10.1109/lawp.2014.2375873.

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9

Niyonzima, I., C. Geuzaine, and S. Schöps. "Waveform relaxation for the computational homogenization of multiscale magnetoquasistatic problems." Journal of Computational Physics 327 (December 2016): 416–33. http://dx.doi.org/10.1016/j.jcp.2016.09.011.

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10

Arumugam, D. D., and D. S. Ricketts. "Passive orientation measurement using magnetoquasistatic fields and coupled magnetic resonances." Electronics Letters 49, no. 16 (August 2013): 999–1001. http://dx.doi.org/10.1049/el.2013.0766.

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11

Dutiné, Jennifer Susanne, Markus Clemens, and Sebastian Schöps. "Explicit time integration of eddy current problems using a selective matrix update strategy." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 5 (September 4, 2017): 1364–71. http://dx.doi.org/10.1108/compel-02-2017-0100.

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Purpose Discretizing the magnetic vector potential formulation of eddy current problems in space results in an infinitely stiff differential algebraic equation system that is integrated in time using implicit time integration methods. Applying a generalized Schur complement to the differential algebraic equation system yields an ordinary differential equation (ODE) system. This ODE system can be integrated in time using explicit time integration schemes by which the solution of high-dimensional nonlinear algebraic systems of equations is avoided. The purpose of this paper is to further investigate the explicit time integration of eddy current problems. Design/methodology/approach The resulting magnetoquasistatic Schur complement ODE system is integrated in time using the explicit Euler method taking into account the Courant–Friedrich–Levy (CFL) stability criterion. The maximum stable CFL time step can be rather small for magnetoquasistatic field problems owing to its proportionality to the smallest edge length in the mesh. Ferromagnetic materials require updating the reluctivity matrix in nonlinear material in every time step. Because of the small time-step size, it is proposed to only selectively update the reluctivity matrix, keeping it constant for as many time steps as possible. Findings Numerical simulations of the TEAM 10 benchmark problem show that the proposed selective update strategy decreases computation time while maintaining good accuracy for different dynamics of the source current excitation. Originality/value The explicit time integration of the Schur complement vector potential formulation of the eddy current problem is accelerated by updating the reluctivity matrix selectively. A strategy for this is proposed and investigated.
12

Liu, Si-Liang, Jayoung Kim, Ayoung Hong, Jong-Oh Park, and Chang-Sei Kim. "Six-Dimensional Localization of a Robotic Capsule Endoscope Using Magnetoquasistatic Field." IEEE Access 10 (2022): 22865–74. http://dx.doi.org/10.1109/access.2022.3154031.

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13

Liu, Si-Liang, Jayoung Kim, Byungjeon Kang, Eunpyo Choi, Ayoung Hong, Jong-Oh Park, and Chang-Sei Kim. "Three-Dimensional Localization of a Robotic Capsule Endoscope Using Magnetoquasistatic Field." IEEE Access 8 (2020): 141159–69. http://dx.doi.org/10.1109/access.2020.3012533.

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14

Koch, S., J. Trommler, H. De Gersem, and T. Weiland. "Modeling Thin Conductive Sheets Using Shell Elements in Magnetoquasistatic Field Simulations." IEEE Transactions on Magnetics 45, no. 3 (March 2009): 1292–95. http://dx.doi.org/10.1109/tmag.2009.2012601.

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15

Romer, Ulrich, Sebastian Schops, and Thomas Weiland. "Approximation of Moments for the Nonlinear Magnetoquasistatic Problem With Material Uncertainties." IEEE Transactions on Magnetics 50, no. 2 (February 2014): 417–20. http://dx.doi.org/10.1109/tmag.2013.2284637.

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16

Braunisch, H., C. O. Ao, K. O'Neill, and J. A. Kong. "Magnetoquasistatic response of conducting and permeable prolate spheroid under axial excitation." IEEE Transactions on Geoscience and Remote Sensing 39, no. 12 (December 2001): 2689–701. http://dx.doi.org/10.1109/36.975003.

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17

Barrowes, B. E., K. O'Neill, T. M. Grzegorczyk, Xudong Chen, and J. A. Kong. "Broadband analytical magnetoquasistatic electromagnetic induction solution for a conducting and permeable spheroid." IEEE Transactions on Geoscience and Remote Sensing 42, no. 11 (November 2004): 2479–89. http://dx.doi.org/10.1109/tgrs.2004.836814.

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18

Niyonzima, I., R. V. Sabariego, P. Dular, K. Jacques, and C. Geuzaine. "Multiscale Finite Element Modeling of Nonlinear Magnetoquasistatic Problems using Magnetic Induction Conforming Formulations." Multiscale Modeling & Simulation 16, no. 1 (January 2018): 300–326. http://dx.doi.org/10.1137/16m1081609.

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19

Arumugam, Darmindra D., Peter Littlewood, Nicholas Peng, and Divyam Mishra. "Long-Range Through-the-Wall Magnetoquasistatic Coupling and Application to Indoor Position Sensing." IEEE Antennas and Wireless Propagation Letters 19, no. 3 (March 2020): 507–11. http://dx.doi.org/10.1109/lawp.2020.2967069.

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20

Hoburg, J. F. "Personal computer based educational tools for visualization of applied electroquasistatic and magnetoquasistatic phenomena." Journal of Electrostatics 19, no. 2 (May 1987): 165–79. http://dx.doi.org/10.1016/0304-3886(87)90004-0.

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21

Arumugam, Darmindra D. "Single-Anchor 2-D Magnetoquasistatic Position Sensing for Short to Long Ranges Above Ground." IEEE Antennas and Wireless Propagation Letters 15 (2016): 1325–28. http://dx.doi.org/10.1109/lawp.2015.2507603.

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22

Putek, Piotr. "Nonlinear magnetoquasistatic interface problem in a permanent-magnet machine with stochastic partial differential equation constraints." Engineering Optimization 51, no. 12 (March 19, 2019): 2169–92. http://dx.doi.org/10.1080/0305215x.2019.1577403.

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23

Everett, Mark E., and Alan D. Chave. "On the physical principles underlying electromagnetic induction." GEOPHYSICS 84, no. 5 (September 1, 2019): W21—W32. http://dx.doi.org/10.1190/geo2018-0232.1.

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This paper provides a theoretical overview of some of the fundamental concepts underlying electromagnetic (EM) induction exploration methods using marine controlled-source EMs as an exemplar. In particular, it will be shown, from different vantage points, that EM induction operates in the magnetoquasistatic regime in which inductive effects dominate, capacitive effects are ignored, and the displacement current is negligible; hence, charge polarization and dielectric phenomena play no role. We determine some of the major physical consequences of this approximation, and we make a distinction between wave physics and diffusive behavior, which is of particular interest in the special case of time-periodic excitation. We distinguish the fundamentally different roles of mobile charge carriers and bound charges in EM induction. It is emphasized that EM induction cannot be fully understood by comparing and contrasting Maxwell’s equations with governing equations from other disciplines that possess a similar mathematical structure. It is suggested that visualizations of energy flow using the Poynting vector and the Joule heating parameters provide a powerful tool to understand how the geologic medium shapes EM induction responses.
24

Hülsmann, Timo, Andreas Bartel, Sebastian Schöps, and Herbert De Gersem. "Extended Brauer model for ferromagnetic materials: analysis and computation." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 4 (July 1, 2014): 1251–63. http://dx.doi.org/10.1108/compel-11-2012-0359.

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Purpose – The purpose of this paper is to develop a fast and accurate analytic model function for the single-valued H-B curve of ferromagnetic materials, where hysteresis can be disregarded (normal magnetization curve). Nonlinear magnetoquasistatic simulations demand smooth monotone material models to ensure physical correctness and good convergence in Newton's method. Design/methodology/approach – The Brauer model has these beneficial properties, but is not sufficiently accurate for low and high fields in the normal magnetization curve. The paper extends the Brauer model to better fit material behavior in the Rayleigh region (low fields) and in full saturation. Procedures for obtaining optimal parameters from given measurement points are proposed and tested for two technical materials. The approach is compared with cubic spline and monotonicity preserving spline interpolation with respect to error and computational effort. Findings – The extended Brauer model is more accurate and even maintains the computational advantages of the classical Brauer model. The methods for obtaining optimal parameters yield good results if the measurement points have a distinctive Rayleigh region. Originality/value – The model function for ferromagnetic materials enhances the precision of the classical Brauer model without notable additional simulation cost.
25

Hao Gang Wang, Chi Hou Chan, Leung Tsang, and V. Jandhyala. "On sampling algorithms in multilevel QR factorization method for magnetoquasistatic analysis of integrated circuits over multilayered lossy substrates." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 25, no. 9 (September 2006): 1777–92. http://dx.doi.org/10.1109/tcad.2005.859534.

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26

Consolo, Valentina, Antonino Musolino, Rocco Rizzo, and Luca Sani. "Numerical 3D Simulation of a Full System Air Core Compulsator-Electromagnetic Rail Launcher." Applied Sciences 10, no. 17 (August 26, 2020): 5903. http://dx.doi.org/10.3390/app10175903.

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Multiphysics problems represent an open issue in numerical modeling. Electromagnetic launchers represent typical examples that require a strongly coupled magnetoquasistatic and mechanical approach. This is mainly due to the high velocities which make comparable the electrical and the mechanical response times. The analysis of interacting devices (e.g., a rail launcher and its feeding generator) adds further complexity, since in this context the substitution of one device with an electric circuit does not guarantee the accuracy of the analysis. A simultaneous full 3D electromechanical analysis of the interacting devices is often required. In this paper a numerical 3D analysis of a full launch system, composed by an air-core compulsator which feeds an electromagnetic rail launcher, is presented. The analysis has been performed by using a dedicated, in-house developed research code, named “EN4EM” (Equivalent Network for Electromagnetic Modeling). This code is able to take into account all the relevant electromechanical quantities and phenomena (i.e., eddy currents, velocity skin effect, sliding contacts) in both the devices. A weakly coupled analysis, based on the use of a zero-dimensional model of the launcher (i.e., a single loop electrical equivalent circuit), has been also performed. Its results, compared with those by the simultaneous 3D analysis of interacting devices, show an over-estimate of about 10–15% of the muzzle speed of the armature.
27

Takahashi, Yasuhito, Koji Fujiwara, Takeshi Iwashita, and Hiroshi Nakashima. "Parallel finite-element method using domain decomposition and Parareal for transient motor starting analysis." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 5 (September 2, 2019): 1507–20. http://dx.doi.org/10.1108/compel-12-2018-0516.

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Purpose This paper aims to propose a parallel-in-space-time finite-element method (FEM) for transient motor starting analyses. Although the domain decomposition method (DDM) is suitable for solving large-scale problems and the parallel-in-time (PinT) integration method such as Parareal and time domain parallel FEM (TDPFEM) is effective for problems with a large number of time steps, their parallel performances get saturated as the number of processes increases. To overcome the difficulty, the hybrid approach in which both the DDM and PinT integration methods are used is investigated in a highly parallel computing environment. Design/methodology/approach First, the parallel performances of the DDM, Parareal and TDPFEM were compared because the scalability of these methods in highly parallel computation has not been deeply discussed. Then, the combination of the DDM and Parareal was investigated as a parallel-in-space-time FEM. The effectiveness of the developed method was demonstrated in transient starting analyses of induction motors. Findings The combination of Parareal with the DDM can improve the parallel performance in the case where the parallel performance of the DDM, TDPFEM or Parareal is saturated in highly parallel computation. In the case where the number of unknowns is large and the number of available processes is limited, the use of DDM is the most effective from the standpoint of computational cost. Originality/value This paper newly develops the parallel-in-space-time FEM and demonstrates its effectiveness in nonlinear magnetoquasistatic field analyses of electric machines. This finding is significantly important because a new direction of parallel computing techniques and great potential for its further development are clarified.
28

Clemens, Markus. "Adaptivity in Space and Time for Magnetoquasistatics." Journal of Computational Mathematics 27, no. 5 (June 2009): 642–56. http://dx.doi.org/10.4208/jcm.2009.27.5.015.

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29

Jens Lang and D. Teleaga. "Towards a Fully Space-Time Adaptive FEM for Magnetoquasistatics." IEEE Transactions on Magnetics 44, no. 6 (June 2008): 1238–41. http://dx.doi.org/10.1109/tmag.2007.914837.

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30

Poole, Greg. "The Magnetoquasistatic Field and Gravity, <i>g = c</i><sup>4</sup><i>&tau;/</i>&pi;<i>r</i><sup>3</sup>." Journal of High Energy Physics, Gravitation and Cosmology 05, no. 04 (2019): 1105–11. http://dx.doi.org/10.4236/jhepgc.2019.54063.

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31

Ruuskanen, Janne, Antoine Marteau, Innocent Niyonzima, Alexandre Halbach, Joonas Vesa, Gérard Meunier, Timo Tarhasaari, and Paavo Rasilo. "Multiharmonic multiscale modelling in 3-D nonlinear magnetoquasistatics: Composite material made of insulated particles." Computer Methods in Applied Mechanics and Engineering 425 (May 2024): 116945. http://dx.doi.org/10.1016/j.cma.2024.116945.

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32

Forestiere, Carlo, Giovanni Miano, Guglielmo Rubinacci, Mariano Pascale, Antonello Tamburrino, Roberto Tricarico, and Salvatore Ventre. "Magnetoquasistatic resonances of small dielectric objects." Physical Review Research 2, no. 1 (February 13, 2020). http://dx.doi.org/10.1103/physrevresearch.2.013158.

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33

Marteau, Antoine, Innocent Niyonzima, Gerard Meunier, Janne Ruuskanen, Nicolas Galopin, Paavo Rasilo, and Olivier Chadebec. "Magnetic Field Upscaling and B-Conforming Magnetoquasistatic Multiscale Formulation." IEEE Transactions on Magnetics, 2023, 1. http://dx.doi.org/10.1109/tmag.2023.3235208.

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34

Putek, Piotr Adam. "Mitigation of the cogging torque and loss minimization in a permanent magnet machine using shape and topology optimization." Engineering Computations 33, no. 3 (March 11, 2016). http://dx.doi.org/10.1108/ec-01-2015-0007.

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Purpose The paper presents the topology optimization method to design the rotor and the tooth base in the stator of the permanent magnet (PM) excited machine with the improved high-speed features. The topological and shape sensitivity through the Multi-Level Set Method (MLSM) have been used to attain an innovative design of both the rotor and stator made of different materials. Design/methodology/approach This framework is based on the application of the topological and the shape derivative, obtained by incorporating the AVM into the multi-level set method for the magnetoquasistatic system. The representation of the shape and their evolution during the iterative optimization process are obtained by the multi-level set method. Findings To find the optimal configuration of a PM machine, the stator and rotor poles were simultaneously optimized by redistributing the iron and the magnet material over the design domains. In this way, it was possible to obtain an innovative design which allows to reduce mechanical vibration and the acoustic noise caused by the Cogging Torque, while taking the back-EMF into account. Originality/value The novelty of the proposed method is to apply the modified multi-level-set algorithm with the Total Variation (TV) to the magnetoquasistatic optimization problem. Given the eddy currents phenomenon in the model of a PM machine, it was possible not only to optimize the structure of a PM machine but also to analyse electromagnetic losses distribution.
35

Benabou, Joshua N., Joshua W. Foster, Yonatan Kahn, Benjamin R. Safdi, and Chiara P. Salemi. "Lumped-element axion dark matter detection beyond the magnetoquasistatic limit." Physical Review D 108, no. 3 (August 7, 2023). http://dx.doi.org/10.1103/physrevd.108.035009.

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36

Sasatani, Takuya, Alanson P. Sample, and Yoshihiro Kawahara. "Room-scale magnetoquasistatic wireless power transfer using a cavity-based multimode resonator." Nature Electronics, August 30, 2021. http://dx.doi.org/10.1038/s41928-021-00636-3.

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37

Lee, Ho-Young, Seung-Geon Hong, and Myung-Ki Baek. "Analysis of variable inductor employing vegetable-based transformer oil with magnetic nanoparticles." AIP Advances 14, no. 1 (January 1, 2024). http://dx.doi.org/10.1063/9.0000844.

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Variable inductors using magnetorheological fluids have recently been successfully applied to power-conversion devices; however, the thermal properties of Vegetable oil-based Magnetic Nanofluids (VMNFs) have not been investigated. In this study, the temperature characteristics of a variable inductor embedded with a VMNF were analyzed by developing a multiphysics analysis method and verified experimentally. To analyze the temperature distribution efficiently, a coupled analysis of the Magnetoquasistatic (MQS) field and steady-state heat transfer field based on the finite-element method was performed. The B-H curves of the VMNF and ferrite core were obtained via magnetic property measurement experiments, and the input waveforms were measured from the current and high-frequency pulse voltages applied to the variable inductor of the DC–DC converter. To predict the temperature rise of the VMNF-gap variable inductor, the power dissipation was determined using the Steinmetz experimental equation modified by the Bertotti model in the electronic system solver and input as a heat source in the steady-state heat-transfer analysis. The temperature increase predicted by the multiphysics analysis method agreed well with the experimental data, and an increasing the concentration of magnetic nanoparticles had a cooling effect. The developed MQS–thermal field coupled analytical method and the cooling properties of VMNFs can be applied to the design of power-conversion devices operating with high-frequency power sources.

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