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| Content Provider | IET Digital Library |
|---|---|
| Author | Nieto, Jaime Maraví Azar, Ziad Thomas, Arwyn S. Zhu, Zi Qiang |
| Abstract | The performance improvement of using grain-oriented electrical steels (GOES) in the stator of PM fractional-slot modular machines is analysed in this study. Several models using a finite element tool are examined and it is concluded the techniques used in the actual software are not accurate for simulating anisotropic behaviour. Consequently, a simplified yet accurate modelling technique is proposed to simulate the performance of this type of electrical machines equipped with GOES. The advantages as well as the drawbacks of using GOES on the electromagnetic performance are investigated for different pole/slot combinations. It is concluded that the use of GOES is beneficial from an electromagnetic point of view mainly due to an increase on the radial component of the airgap flux density. |
| Starting Page | 3682 |
| Ending Page | 3686 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 17, Jun (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/17 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8171 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-01-22 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | A.C. Machine Actual Software Air Gap Anisotropic Behaviour D.C. Machines Different Pole/slot Combinations Electrical Machine Electromagnetic Performance Finite Element Analysis Finite Element Tool GOES Grai-oriented Electrical Steel Grain-oriented Electrical Steels Magnetic Flux Numerical Analysis Performance Improvement Permanent Magnet Machine Permanent Magnet Motors PM Fractional-slot Modular Machine Simplified Yet Accurate Modelling Technique Stator Stators Utilisation |
| Content Type | Text |
| Resource Type | Article |
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