Simulation of magnetization behaviours of Sm(Co,Fe,Cu,Zr)z magnet with low Cu content
Chen Ren-Jie(陈仁杰)a)c)†, Zhang Hong-Wei(张宏伟)b), Shen Bao-Gen(沈保根)b), Yan A-Ru(闫阿儒)a), and Chen Li-Dong(陈立东)c)
a Ningbo Institute of Materials Technology { & Engineering, Chinese Academy of Sciences, Ningbo 315201, China; b State Key Laboratory of Magnetism, Institute of Physics and Center for Condensed Matter Physics, Chinese Academy of Sciences, Beijing 100190, China; c Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, China
Abstract The effects of microstructure, cell orientation and temperature on magnetic properties and the coercivity mechanism in Sm(Co,Fe,Cu,Zr)z with low Cu content are studied by using the micromagnetic finite element method in this paper. The simulations of the demagnetization behaviours indicate that the pinning effect weakens gradually with the thickness of cell boundary decreasing and strengthens gradually with the cell size decreasing. Because of the intergrain exchange coupling, the coercivity mechanism is determined by the difference in magnetocrystalline anisotropy between the cell phase and the cell boundary phase. And the coercivity mechanism is related to not only the cells alignment but also temperature. With temperature increasing, a transformation of the demagnetization mechanism occurs from the domain pinning to the uniform magnetization reversal mode and the transformation temperature is about 650 K.
Received: 17 September 2008
Revised: 28 November 2008
Accepted manuscript online:
PACS:
75.60.Ej
(Magnetization curves, hysteresis, Barkhausen and related effects)
Fund: Project supported by the Natural
Science Foundation of Zhejiang Province, China (Grant No Y407174).
Cite this article:
Chen Ren-Jie(陈仁杰), Zhang Hong-Wei(张宏伟), Shen Bao-Gen(沈保根), Yan A-Ru(闫阿儒), and Chen Li-Dong(陈立东) Simulation of magnetization behaviours of Sm(Co,Fe,Cu,Zr)z magnet with low Cu content 2009 Chin. Phys. B 18 2582
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.