The tunable one-way transmission of Lamb waves by using giant magnetostrictive materials

AbstractThis paper provides an overview of magnetostrictive transducer technology. The bi-directional coupling between the magnetic and mechanical states of a magnetostrictive material provides a transduction mechanism that can be used both for actuation and sensing. The current interest in design of adaptive smart structures, coupled with the advent of materials that exhibit high sensor figures of merit, such as Metglas and giant magnetostrictive materials such as Terfenol-D has lead to a renewed interest in the engineering of optimized magnetostrictive transducer designs. A survey of recent applications for giant magnetostrictive materials as both sensors and actuators and their use in smart structure applications will be presented along with a brief discussion of some pertinent device design issues. Examples of magnetostrictive actuation used to produce displacements, force and acoustic waves are summarized. Magnetostrictive sensor configurations that measure motion, stress or force, torque, magnetic fields and target characteristics are discussed. A very brief look at transducer modeling and experimental results is included and schematics of a number of actuator and sensor configurations are presented.

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Giant Magnetostrictive Materials for Field Weakening: A Modeling Approach

IEEE Transactions on Magnetics ◽

10.1109/tmag.2012.2196283 ◽

2012 ◽

Vol 48 (9) ◽

pp. 2488-2494 ◽

Cited By ~ 9

Author(s):

Guillaume Krebs ◽

Laurent Daniel

Keyword(s):

Field Weakening ◽

Modeling Approach ◽

Magnetostrictive Materials ◽

Giant Magnetostrictive Materials

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High responsive giant magnetostrictive materials thin film

Journal of Advanced Science ◽

10.2978/jsas.20.33 ◽

2008 ◽

Vol 20 (1/2) ◽

pp. 33-36

Author(s):

Jamadil Azwad PAZAER ◽

Koji MAKITA ◽

Tempei TANAKAMARU ◽

Shunichi NABEYA ◽

Yoshihito MATSUMURA

Keyword(s):

Thin Film ◽

Magnetostrictive Materials ◽

Giant Magnetostrictive Materials

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Analysis and numerical solution of dynamic Jiles–Atherton model applied to hysteresis modeling for giant magnetostrictive materials

Engineering Computations ◽

10.1108/ec-03-2021-0141 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ce Rong ◽

Zhongbo He ◽

Guangming Xue ◽

Guoping Liu ◽

Bowen Dai ◽

...

Keyword(s):

Numerical Solution ◽

Numerical Computation ◽

Model Parameters ◽

Calculation Error ◽

Rational Form ◽

Modified Model ◽

Content Type ◽

Magnetostrictive Materials ◽

Giant Magnetostrictive Materials ◽

Computation Scheme

PurposeOwing to the excellent performance, giant magnetostrictive materials (GMMs) are widely used in many engineering fields. The dynamic Jiles–Atherton (J-A) model, derived from physical mechanism, is often used to describe the hysteresis characteristics of GMM. However, this model, despite cited by many different literature studies, seems not to possess unique expressions, which may cause great trouble to the subsequent application. This paper aims to provide the rational expressions of the dynamic J-A model and propose a numerical computation scheme to obtain the model results with high accuracy and fast speed.Design/methodology/approachThis paper analyzes different published papers and provides a reasonable form of the dynamic J-A model based on functional properties and physical explanations. Then, a numerical computation scheme, combining the Newton method and the explicit Adams method, is designed to solve the modified model. In addition, the error source and transmission path of the numerical solution are investigated, and the influence of model parameters on the calculation error is explored. Finally, some attempts are made to study the influence of numerical scheme parameters on the accuracy and time of the computation process. Subsequently, an optimization procedure is proposed.FindingsA rational form of the dynamic J-A model is concluded in this paper. Using the proposed numerical calculation scheme, the maximum calculation error, while computing the modified model, can remain below 2 A/m under different model parameter combinations, and the computation time is always less than 0.5 s. After optimization, the calculation speed can be enhanced with the computation accuracy guaranteed.Originality/valueTo the best of the authors’ knowledge, this paper is the first one trying to provide a rational form of the dynamic J-A model among different citations. No other research studies focus on designing a detailed computation scheme targeting the fast and accurate calculation of this model as well. And the performance of the proposed calculation method is validated in different conditions.

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