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Asymptotic models in magnetostriction with application to design of sensors.

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Asymptotic models in magnetostriction with application to design of sensors.

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2012-04

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Abstract

Magnetostrictive wires of diameter in the nanometer scale have been proposed for application as acoustic sensors [Downey et al., 2008], [Yang et al., 2006]. The sensing mechanism is expected to operate in the bending regime. In the first part of this work, we derive a variational theory for the bending of magnetostrictive nanowires starting from a full 3-dimensional continuum theory of magnetostriction. We recover a theory which looks like a typical Euler-Bernoulli bending model but includes an extra term contributed by the magnetic part of the energy. The solution of this variational theory for an important, newly developed magnetostricitve alloy called Galfenol ¡ cf. [Clark et al., 2000] ¢ is compared with the result of experiments on actual nanowires ¡ cf. [Downey, 2008] ¢ which shows agreement. In the next part of this thesis, Multilayered wires of diameter in the nanometer scale with periodic layering of non-magnetic copper and ferromagnetic galfenol segments are studied. The numerical computation of the physics of magnetization for such geometries is very costly computationally. We use the theory of periodic homogenization to understand the overall behavior of such structures. We first determine a “homogenized theory” after which this “homogenized model” is used to study the nucleation and stability of staturated states. Thus we get a broad generalization of what is known in the magnetic literature as the “fanning model” first introduced in [Jacobs and Bean, 1955] for a chain of spheres geometry. Some further numerical work on computing M vs H curves for such geometries is also presented.

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University of Minnesota Ph.D. dissertation. April 2012. Major: Aerospace Engineering and Mechanics. Advisor: Richard D James. 1 computer file (PDF); v, 121. pages.

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Krishnan, Shankar Narayan. (2012). Asymptotic models in magnetostriction with application to design of sensors.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/126269.

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