@ARTICLE{Mülder_Christoph_Transient_2019,
 author={Mülder, Christoph and Elfgen, Silas and Hameyer, Kay},
 volume={vol. 68},
 number={No 2},
 journal={Archives of Electrical Engineering},
 pages={237-244},
 howpublished={online},
 year={2019},
 publisher={Polish Academy of Sciences},
 abstract={The purpose of this paper is to focus on the loss separation of non-grain-oriented electrical steels used for speed-variable rotating electrical machines. The impact of laser-cutting, used in prototype manufacturing and of flux density harmonics, occurring locally in the lamination, on the loss distribution is studied in detail. Iron losses occurring under operation can physically be separated in different loss components. In this paper, a frequency-based loss model with parameters identified for single-sheet tester specimens, cut in strips of different widths, is therefore used. Moreover, a time-domain approach considers loss distributions occurring from higher harmonics. Hysteresis losses having high sensitivity to cut edge effects are calculated by the well-known Jiles-Atherton model adapting the frequency-based loss parameters. The model is validated by free-curve measurements at a single-sheet tester. It has been shown that the studied elliptical hysteresis model becomes inaccurate particularly for specimens with small strip widths with similar dimensions as teeth of electrical machine laminations. The incorrect mapping of losses occurring from minor hysteresis loops due to higher harmonics is concluded. The results showconsequently that both, the impact of a cut edge effect and local distributions of flux density harmonics need to be considered in terms of accurate iron loss prediction of electrical machine design.},
 type={Article},
 title={Transient approach for iron loss separation of non-grain-oriented electrical steels considering the impact of cut edge effect},
 URL={http://www.journals.pan.pl/Content/111898/PDF/art_02.pdf},
 doi={10.24425/aee.2019.128265},
 keywords={cut edge effect, hysteresis losses, iron losses, transient loss model},
}