2015
DOI: 10.2528/pier15091005
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THEORETICAL FORMULATION OF A TIME-DOMAIN FINITE ELEMENT METHOD FOR NONLINEAR MAGNETIC PROBLEMS IN THREE DIMENSIONS (Invited Paper)

Abstract: Abstract-In this work, a numerical solution of nonlinear ferromagnetic problems is formulated using the three-dimensional time-domain finite element method (TDFEM) combined with the inverse JilesAtherton (J-A) vector hysteresis model. After a brief introduction of the J-A constitutive model, the second-order nonlinear partial differential equation (PDE) is constructed through the magnetic vector potential in the time domain, which is then discretized by employing the Newmark-β scheme, and solved by applying th… Show more

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Cited by 21 publications
(22 citation statements)
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“…In this section, we briefly review the nonlinear inverse J-A hysteresis model [6] and the TDFEM formulation for nonlinear magnetic problems developed in [1], and present simple numerical examples for validation.…”
Section: Tdfem Formulations For Nonlinear Magnetic Problemsmentioning
confidence: 99%
See 3 more Smart Citations
“…In this section, we briefly review the nonlinear inverse J-A hysteresis model [6] and the TDFEM formulation for nonlinear magnetic problems developed in [1], and present simple numerical examples for validation.…”
Section: Tdfem Formulations For Nonlinear Magnetic Problemsmentioning
confidence: 99%
“…Such a nonlinear system can be solved iteratively by using the polarization technique and the Newton-Raphson method as [1] [J]{δa} = −{r} (12)…”
Section: Nonlinear Time-domain Finite Element Formulationmentioning
confidence: 99%
See 2 more Smart Citations
“…This choice allows engineers to analyze the dynamic system including the nonlinear materials, permanent magnets and induced eddy currents under a variety of conditions, under various excitations including the pulsed waveform. This procedure is usually very time-consuming since it requires N t · N e matrix solutions, where N t is the number of time steps and N e is the average number of nonlinear iterations [1][2][3][4][5][6]. Provided that an algorithm (or method) can be made parallel, parallel computing can cut down simulation time for a nonlinear transient problem.…”
Section: Introductionmentioning
confidence: 99%