Consideration of ferromagnetic anisotropy in electrical machines built of segmented silicon steel sheets

IET Science Measurement & Technology, vol. 14, pp. 242–249

Abstract

Electrical steel shows a distinct non‐linear and anisotropic behaviour even for non‐oriented steel. The flux guidance in electrical machines is realised by ferromagnetic steel sheets, and therefore it is necessary to consider the anisotropy in the simulation to have reliable and accurate results. Due to the fact that the reduction of silicon steel waste in the production process of electrical machines is crucial, and to enhance the material utilisation the segmentation is employed in the construction of electrical machines. The segmentation further allows to enhance the magnetic behaviour of the machine by considering the easy magnetisation axis in the design process. Nowadays, consideration of ferromagnetic anisotropy in the simulation of electrical machines is not accurate. To cope with these inaccuracies, in this contribution, a vectorial anisotropy model based on two‐dimensional measurements is employed to the simulation of a segmented electrical machine, which is not state of the art in current machine computation. With the presented methodology, it is possible to simulate and design segmented electrical machines in an accurate fashion taking the ferromagnetic anisotropy into account.

Authors 5

1. Fabian Müller corresponding Aachen Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM) RWTH Aachen University Schinkelstraße 4 Aachen Germany

2. Gregor Bavendiek Aachen Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM) RWTH Aachen University Schinkelstraße 4 Aachen Germany

3. Nora Leuning Aachen Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM) RWTH Aachen University Schinkelstraße 4 Aachen Germany

4. Benedikt Schauerte Aachen Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM) RWTH Aachen University Schinkelstraße 4 Aachen Germany

5. Kay Hameyer Aachen Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Faculty of Electrical Engineering and Information Technology Institute of Electrical Machines (IEM) RWTH Aachen University Schinkelstraße 4 Aachen Germany