Volume 16, Issue 4 (December 2020)                   IJEEE 2020, 16(4): 494-504 | Back to browse issues page


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Vahedi P, Ganji B, Afjei E. A Multi-Physics Simulation Model Based on Finite Element Method for the Multi-Layer Switched Reluctance Motor. IJEEE 2020; 16 (4) :494-504
URL: http://ijeee.iust.ac.ir/article-1-1445-en.html
Abstract:   (4602 Views)
Using ANSYS finite element (FE) package, a multi-physics simulation model based on finite element method (FEM) is introduced for the multi-layer switched reluctance motor (SRM) in the present paper. The simulation model is created totally in ANSYS parametric design language (APDL) as a parametric model usable for various conventional types of this motor and it is included electromagnetic, thermal, and structural analyses. The static characteristic of flux-linkage with a phase, phase current waveform, instantaneous torque, and electromagnetic losses are predicted using the developed electromagnetic model. Carrying out 3D FE thermal analysis, the temperature rise due to the calculated core and copper losses is predicted in the developed thermal model. The transient, modal and harmonic analyses are done in the introduced structural model to determine the mode shapes, natural frequencies, displacement, and sound pressure level (SPL) in both time and frequency domains. In order to evaluate the developed simulation model, it is applied to a typical multi-layer SRM, and simulation results related to all the above-mentioned analyses are presented.
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  • To develop a multi-physics simulation model for multi-layer switched reluctance motor
  • To propose a comprehensive electromagnetic simulation model for this motor
  • To introduce thermal and noise models based on 3D finite element method for this motor    
  • To present a parametric simulation model useful for doing an accurate analysis    

Type of Study: Research Paper | Subject: Special Electric Machines
Received: 2019/02/27 | Revised: 2019/09/04 | Accepted: 2019/09/09

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.