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Recrystallization Texture and Magnetostriction in Binary Fe81Ga19 Sheets |
Quan FU,Yuhui SHA( ),Zhenghua HE,Fan LEI,Fang ZHANG,Liang ZUO |
Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), Northeastern University, Shenyang 110819, China |
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Cite this article:
Quan FU,Yuhui SHA,Zhenghua HE,Fan LEI,Fang ZHANG,Liang ZUO. Recrystallization Texture and Magnetostriction in Binary Fe81Ga19 Sheets. Acta Metall Sin, 2017, 53(1): 90-96.
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Abstract Fe-Ga alloys are attractive magnetostrictive materials due to large magnetostriction along <100> direction and high mechanical strength. However, sharp Goss ({110}<001>) texture and large magnetostriction coefficients were conventionally achieved by secondary recrystallization with centimeter-sized grains under the effects of inhibitor and surface energy, resulting in deteriorated mechanical properties. Texture optimization in relatively fine grained microstructure is an effective way to obtain excellent comprehensive properties. Cold rolling process can determine the difference in number and size of primary recrystallization grains among various texture components, and further influence the texture and grain size evolution during subsequent high temperature annealing. The present work aims to produce strong η texture (<001>//RD, rolling direction) in binary Fe-Ga sheet with relatively fine recrystallization grains by cold rolling parameter modification. Macro- and micro-texture analysis was applied to investigate the effects of primary recrystallization states on texture and grain size evolution during high temperature annealing in binary Fe-Ga sheet. The η grains can gain more numbers and relatively larger sizes in primary recrystallization stage, and preferably grow even abnormally during high temperature annealing. A sharp η texture and large magnetostriction coefficient are successfully developed in primarily and secondarily recrystallized sheets with relatively fine grains. The results provide a prospective route for the efficient recrystallization texture and grain size optimization in binary Fe-Ga and other bcc alloys.
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Received: 01 July 2016
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Fund: Supported by National Natural Science Foundation of China (No.51671049) and Fundamental Research Funds for the Central Universities (No.L1502019) |
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