首页    期刊浏览 2025年02月22日 星期六
登录注册

文章基本信息

  • 标题:A Novel Computational Method to Identify/Analyze Hysteresis Loops of Hard Magnetic Materials
  • 本地全文:下载
  • 作者:Alessandro Giuseppe D’Aloia ; Antonio Di Francesco ; Valerio De Santis
  • 期刊名称:Maine Policy Review
  • 印刷版ISSN:2312-7481
  • 出版年度:2021
  • 卷号:7
  • 期号:1
  • 页码:10
  • DOI:10.3390/magnetochemistry7010010
  • 语种:English
  • 出版社:The University of Maine
  • 摘要: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 <i>NdFeB</i><i> </i>magnet has been proven to be very accurate and efficient for a large temperature range.
国家哲学社会科学文献中心版权所有