کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8152704 | 1524756 | 2018 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Dependence of the demagnetization behavior on the direction of grain boundary diffusion in sintered Nd-Fe-B magnets
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
فیزیک ماده چگال
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The effect of the direction of coercivity distribution gradient on the demagnetization behavior of anisotropic sintered Nd-Fe-B magnets was investigated via both experiments and simulations. In the grain boundary diffusion process (GBDP) using Dy70Cu30, the magnet diffused parallel to the c-axis shows much higher squareness factor (Hk/Hcj, 0.92) than that diffused perpendicular to the c-axis (Hk/Hcj, 0.83). To simulate the different gradient of coercivity distribution with respect to the c-axis after the GBDP, composite Nd-Fe-B magnets composed of two different grades of Nd-Fe-B magnets were fabricated via diffusion bonding. The anisotropic demagnetization behavior of the composite magnets sandwiched in two directions is similar to that of the magnets after GBDP along two perpendicular directions. Micro-magnetic simulations further confirmed the dependence of demagnetization behavior on the direction of coercivity distribution gradient with respect to the c-axis. For the magnet with the direction of coercivity distribution gradient parallel to the c-axis, the initial demagnetization needs to overcome a much higher energy barrier than that perpendicular to the c-axis. It indicates that the gradient of coercivity distribution induced by GBDP parallel to the c-axis is much more effective to save the usage of heavy rare earth elements than that perpendicular to the c-axis.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Magnetism and Magnetic Materials - Volume 465, 1 November 2018, Pages 392-398
Journal: Journal of Magnetism and Magnetic Materials - Volume 465, 1 November 2018, Pages 392-398
نویسندگان
Fugang Chen, Tieqiao Zhang, Wenhao Zhang, Lanting Zhang, Yunxue Jin,