The Research of Capacitance Characteristics of MRF

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With the development of theory that research on Magneto-Rheological Fluids (MRF), the MRF have been used in many fields in our life. The electrical characteristics of MRF can be widely used in automatic control, medical, automotive, aircraft manufacturing and many other areas .Firstly, this article have derived the formula of MRF between capacitance and Dielectric constant, made the Capacitors which can load the MRF. And then we measure the change of capacitance which is filled with the MRF when the time of magnetic field change, And we also measure the sensitivity of the dielectric constant of different concentrations of MRF as the magnetic field changes. And at last, we have made the curve of the capacitance - magnetic induction intensity the experimental results have been analyzed. We have the conclusion that when the magnetic field increases, the dielectric constant is also increases, resulting in increased capacitance of the conclusions of MRF. Introduction

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1096-1101

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Tonazzini ,L. Bedini , et al. [J]. Pattern Recognition Letters. Sci., 2003, 24: 55–64.

Google Scholar

[2] M.A. Luque, M.P. P´erez-P´erez, et al. [J]. Brain Research Bulletin. Sci., 2008, 75 : 480–484.

Google Scholar

[3] Thomas H. Meedel , Patrick Chang, et al. [J]. Developmental Biology. Sci., 2007, 312: 644–645.

Google Scholar

[4] Alexandre L.M. Levada, Nelson D.A. Mascarenhas, et al. [J]. Pattern Recognition Letters. Sci., 2010, 31: 1795–1808.

Google Scholar

[5] Rene Donner, Georg Langs, et al. [J]. Image and Vision Computing. Sci., 2010, 28: 1031–1038.

Google Scholar

[6] Jie Wei , Izidor Gertner, et al. [J]. Pattern Recognition Letters. Sci., 2003, 24: 3125–3139.

Google Scholar

[7] Min Hyeok Bae, Rong Pan, et al. [J]. NeuroImage. Sci., 2009, 46: 717–725.

Google Scholar

[8] Naoki Kaya, Shuuitsu Tanaka, et al. [J]. Brain Research. Sci. 2002, 952: 86–97.

Google Scholar

[9] LiquanShen, ZhiLiu, et al. [J]. Image Communication. 2009, 24: 405–414.

Google Scholar

[10] Wojciech Szelag. [J]. COMPEL. Ei., 2004, 23(3): 758-766.

Google Scholar

[11] Bong Jun Park, Fei Fei Fang, Ke Zhang, et al. [J]. Chem. Eng. Sci., 2010, 27(2): 716-722.

Google Scholar