کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10155810 | 1666364 | 2019 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Grain orientation dependence of ÎE effect and magnetomechanical coupling factor in polycrystalline Galfenol alloy
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Grain orientation dependence of ÎE effect and magnetomechanical coupling factor in polycrystalline Galfenol alloy Grain orientation dependence of ÎE effect and magnetomechanical coupling factor in polycrystalline Galfenol alloy](/preview/png/10155810.png)
چکیده انگلیسی
The ÎE effect of Galfenol single crystal is anisotropic and symmetric. The magnetomechanical behavior of polycrystalline Fe-Ga alloy was found to be dependent on the grain distribution. An energy-based model was used to simulate the effect of grain distribution on ÎE effect and coupling factor of the polycrystalline Galfenol alloy. Seven types of textured Fe84Ga16 alloys each with 95, 75 and 50â¯vol% textured grains were designed by the MTEX toolbox. The alloys having the same preferred orientation show a similar ÎE effect and coupling factor variation with the stress and magnetic field. Different preferred oriented alloys have great difference in the ÎE effect and coupling factor variation. The effect of texture intensity on the ÎE effect and coupling factor depends on the texture types. The ã100ã oriented alloys with fiber texture, Goss texture and cube texture respectively have a similar large ÎE effect. The texture intensity has a relatively small effect on the ÎE effect and coupling factor k of ã100ã oriented alloys. Compared with ã100ã oriented alloys, the ã110ã and ã112ã oriented alloys have much smaller ÎE effect and coupling factor. The ÎE effect and coupling factor variation with stress and magnetic field of those two kinds of textured alloys is much more complex than that of ã100ã textured alloys.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 156, January 2019, Pages 67-76
Journal: Computational Materials Science - Volume 156, January 2019, Pages 67-76
نویسندگان
Hui Jiang, Jie Zhu, Xing Mu,