Bias Current Effect on Second Harmonic in Asymmetric Magnetoimpedance Response in Amorphous Microwires

2015 ◽  
Vol 233-234 ◽  
pp. 463-466
Author(s):  
N.A. Buznikov ◽  
A.S. Antonov ◽  
A.B. Granovsky

The influence of bias current on the second harmonic in the nonlinear magnetoimpedance in an amorphous microwire with a helical anisotropy is studied theoretically. The voltage response of the microwire is found in the framework of a rotational model. It is shown that the application of the bias current leads to the asymmetry in the field dependence of second harmonic. The second harmonic amplitude is analyzed as a function of the external field, current amplitude and the value of the bias current. The conditions of maximum field sensitivity of the second harmonic are found.

2009 ◽  
Vol 152-153 ◽  
pp. 329-332
Author(s):  
N.A. Buznikov ◽  
A.S. Antonov ◽  
A.A. Rakhmanov

The effect of bias current on the appearance of higher harmonics in the nonlinear mag¬netoimpedance in amorphous wires with a circular anisotropy is studied. The rotational model to calculate the voltage response in the case of a weak skin effect is proposed. It is shown that the ap¬plication of the bias current may lead to significant increase of the second harmonic amplitude in the voltage. The conditions of maximum field sensitivity of the second harmonic are found.


2007 ◽  
Vol 101 (9) ◽  
pp. 093907 ◽  
Author(s):  
D. Seddaoui ◽  
D. Ménard ◽  
P. Ciureanu ◽  
A. Yelon

2011 ◽  
Vol 483 ◽  
pp. 784-788
Author(s):  
Yi Dun ◽  
Shuan Jie Wang ◽  
Xiao Hong Shi ◽  
Zhao Ying Zhou

Micro-defects inside metal matrix composite structure seriously influence the mechanic properties of materials and can undermine machine operations. In order to detect the micro-defects, we can make use of one of the nonlinear acoustic features, i.e., harmonics, which usually appear together with ultrasound when propagating through a damaged material. Based on the relationship between the harmonics, a method of using nonlinear acoustic harmonic amplitude ratio to distinguish micro-defects in metal matrix composite structure is discussed. The test results show that acoustic features, such as second harmonic excitation efficiency were very obvious for the damaged group samples. The method presented is effective in detecting the micro-defects, which means that nonlinear acoustic waves may provide us a good solution for quantitative evaluation of the early damages in metal matrix composite structure.


2010 ◽  
Vol 97 (25) ◽  
pp. 252507 ◽  
Author(s):  
M. Ipatov ◽  
V. Zhukova ◽  
A. Zhukov ◽  
J. Gonzalez

Volume 3 ◽  
2004 ◽  
Author(s):  
Manh-Huong Phan ◽  
Hua-Xin Peng ◽  
Michael R. Wisnom ◽  
Seong-Cho Yu

Development of autobiased linear field sensors based on asymmetrical giant magnetoimpedance (AGMI) effect in Corich amorphous microwires upon the application of a biasing dc current is approached. Upon biasing dc currents, the highest field sensitivity of AGMI of 20%/Oe was found at a biasing dc current of 10 mA. The reduction of the AGMI under a biasing dc current of 25 mA and a frequency of 10 MHz has been observed. The result indicates that an optimum design of autobiased linear field sensors based on AGMI can be achieved by applying the biasing dc current of 10 mA and in the frequency range of 100 kHz–5 MHz. A stress-induced change in AGMI has also been found in these microwires and this offers a new approach to the development of stress sensors. All these features make the Co-rich amorphous microwire a multifunctional and smart material that can be used for different purposes of sensing applications.


2012 ◽  
Vol 6 (1) ◽  
pp. 39-43 ◽  
Author(s):  
A. Zhukov ◽  
M. Ipatov ◽  
J. M. Blanco ◽  
V. Zhukova

In this paper we experimentally studied GMI effect and soft magnetic behavior of Co-rich microwires. Correlation between magnetoelastic anisotropy and magnetic field dependences of diagonal and off-diagonal impedance components are observed. Low field GMI hysteresis, explained in terms of magnetoelastic anisotropy of microwires, has been suppressed by the bias current.


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