Journal
METALS AND MATERIALS INTERNATIONAL
Volume 27, Issue 11, Pages 4886-4893Publisher
KOREAN INST METALS MATERIALS
DOI: 10.1007/s12540-020-00647-3
Keywords
Fe-B-Si-Zr; Hf-Cu bulk glassy alloys; Isothermal annealing; Nanocrystalline alloys; Soft magnetic property; Structural evolution
Funding
- National Key R&D Program of China [2016YFB1100103]
- Natural Science Foundation of China [51671045, 51801079]
- Natural Science Foundation for Young Scientists of Jiangsu, China [BK20180985, BK20180987]
- Natural Science Foundation in Higher Education of Jiangsu, China [18KJB430011]
- Open Foundation of Zhenjiang Key Laboratory for high technology research on marine functional films [ZHZ2019001]
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The study investigated the effects of minor alloying addition of Cu on the glass-forming ability and crystallization process of Fe-based alloys. It was found that the addition of Cu could improve the glass-forming ability and result in the formation of single alpha-Fe phase nanocrystalline alloys with good soft magnetic properties.
The effects of minor alloying addition of Cu on the glass-forming ability and crystallization process of Fe71.7-xB16.7Si8.3Zr3.3Cux and Fe72.5-xB16.7Si8.3Hf2.5Cux (x = 0, 0.3, 0.7, 1.0 and 1.3; at%) alloys were investigated. It was found that the critical glass formation size of rod samples gradually decreased from 2.5 to 1 mm with increasing Cu content in these alloys. Single alpha-Fe phase nanocrystalline alloys were obtained after isothermal annealing the Fe-B-Si-Zr/Hf-Cu glassy alloys containing 0.7-1.0 at% Cu. The Fe71B16.7Si8.3Zr3.3Cu0.7 alloy exhibited good soft magnetic properties with a high saturation magnetization ( 1.22 T) and a low coercive force ( 0.6 A/m) after annealing at 853 K for 10 min due to the precipitation of alpha-Fe nanoparticles of 8 nm size in the glassy matrix. The structural evolution on annealing and the variation tendencies against Cu content of the glass transition temperature, thermal stability and glass-forming ability of the Fe-B-Si-Zr/Hf-Cu amorphous alloys were discussed using a dual-cluster local structure model.
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