A Novel Computational Method to Identify/Analyze Hysteresis Loops of Hard Magnetic Materials

Autor: Alessandro Giuseppe D’Aloia, Antonio Di Francesco, Valerio De Santis
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Magnetochemistry, Vol 7, Iss 1, p 10 (2021)
Druh dokumentu: article
ISSN: 2312-7481
DOI: 10.3390/magnetochemistry7010010
Popis: In this study, a novel computational method capable of reproducing hysteresis loops of hard magnetic materials is proposed. It is conceptually based on the classical Preisach model but has a completely different approach in the modeling of the hysteron effect. Indeed, the change in magnetization caused by a single hysteron is compared here to the change in velocity of two disk-shaped solids elastically colliding with each other rather than the effect of ideal geometrical entities giving rise to so-called Barkhausen jumps. This allowed us to obtain a simple differential formulation for the global magnetization equation with a significant improvement in terms of computational performance. A sensitivity analysis on the parameters of the proposed method has indeed shown the capability to model a large class of hysteresis loops. Moreover, the proposed method permits modeling of the temperature effect on magnetization of neodymium magnets, which is a key point for the design of electrical machines. Therefore, application of the proposed method to the hysteresis loop of a real NdFeB magnet has been proven to be very accurate and efficient for a large temperature range.
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