Effect of a magnetic field on the piezomagnetic parameters of some magnetostrictive materials

Kaczkowski, Z.

doi:10.1016/0041-624x(70)91042-5

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The changes of the elasticity moduli (ΔE effect) [8][9][10][11][12][13] were observed from about 155 to 160 GPa for the as-quenched state and from 60 to 180 GPa after annealing at 450°C. The ΔE/E = (Es -EHmin)/Es was equal to 0.67 what is comparable with the value 0.65 received for ΔE in the sample cut from the left ribbon and annealed at 450°C in vacuum for one hour [5] together with the sample now investigated.…”

Section: Resultsmentioning

confidence: 99%

Piezomagnetic Dependences on Magnetic Bias Field of Annealed at 450°C Fe-Cu-Nb-Si-B Alloy

et al. 1997

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Dúb r a y s k á c e s t a 9 , 8 4 2 2 8 Br a t i s l a v a , S l o v a k i a Magnetic field dependences of the piezomagnetic dynamics, magnetomechanical coupling and elasticity moduli in the Fe73.5Cu1Nb3Si13.5B9 alloy in an as-quenched state and annealed in vacuum for 1 h at 450°C were investigated. The maximum value of the magnetomechanical coupling coefficient was equal to 0.15 for the as-quenched state and 0.7 after annealing at 450°C. The changes of the elasticity moduli (DE effect) from about 60 to 180 GPa were observed after annealing at this temperature. These changes are connected with magnetostriction (equal to 25.8 x 10 -8 at saturation), internal stresses, defects, mechanical, magnetic and heat treatment history.

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Section: Resultsmentioning

confidence: 99%

Piezomagnetic Dependences on Magnetic Bias Field of Annealed at 450°C Fe-Cu-Nb-Si-B Alloy

et al. 1997

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“…But the accuracy of this estimation method is very low (it can lead to errors up to 20% in the determination of ) [14], so finding alternative and robust methods to determine this parameter with greater accuracy is of great importance for the study of the performance of these sensors, especially in cases where the curves have considerable noise or damping, as it is the case when the . Two magnetoelastic resonance curves from the same resonator with different Q values, caused by different amount of mass loading.…”

Section: Introductionmentioning

confidence: 99%

“…The quality factor can be estimated from the resonance curve as the experimentally measured resonance frequency

(at which the amplitude is maximum,

), divided by the width of the signal

(measured as the full width at half maximum, corresponding to amplitudes

) [ 13 ]:

But the accuracy of this estimation method is very low (it can lead to errors up to

in the determination of

) [ 14 ], so finding alternative and robust methods to determine this parameter with greater accuracy is of great importance for the study of the performance of these sensors, especially in cases where the curves have considerable noise or damping, as it is the case when the magnetoelastic sensor operates immersed in a fluid. Some studies have been made on the different methods of determining this quality factor

[ 13 , 15 ], and Lopes et al [ 16 ] reported an extensive study of the determination of the quality factor of a magnetoelastic sensor using different strategies.…”

Section: Introductionmentioning

confidence: 99%

Improved Determination of Q Quality Factor and Resonance Frequency in Sensors Based on the Magnetoelastic Resonance Through the Fitting to Analytical Expressions

et al. 2020

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The resonance quality factor Q is a key parameter that describes the performance of magnetoelastic sensors. Its value can be easily quantified from the width and the peak position of the resonance curve but, when the resonance signals are small, for instance when a lot of damping is present (low quality factor), this and other simple methods to determine this parameter are highly inaccurate. In these cases, numerical fittings of the resonance curves allow to accurately obtain the value of the quality factor. We present a study of the use of different expressions to numerically fit the resonance curves of a magnetoelastic sensor that is designed to monitor the precipitation reaction of calcium oxalate. The study compares the performance of both fittings and the equivalence of the parameters obtained in each of them. Through these numerical fittings, the evolution of the different parameters that define the resonance curve of these sensors is studied, and their accuracy in determining the quality factor is compared.

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A study of SH-SAW propagation in cubic piezomagnetics for utilization in smart materials

Zakharenko¹

2012

Waves in Random and Complex Media

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Effect of a magnetic field on the piezomagnetic parameters of some magnetostrictive materials

Cited by 3 publications

References 5 publications

Piezomagnetic Dependences on Magnetic Bias Field of Annealed at 450°C Fe-Cu-Nb-Si-B Alloy

Piezomagnetic Dependences on Magnetic Bias Field of Annealed at 450°C Fe-Cu-Nb-Si-B Alloy

Improved Determination of Q Quality Factor and Resonance Frequency in Sensors Based on the Magnetoelastic Resonance Through the Fitting to Analytical Expressions

A study of SH-SAW propagation in cubic piezomagnetics for utilization in smart materials

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