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Applied Mathematics and Computation
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Numerical modeling of Galfenol magnetostrictive response

Authors: Jan Chleboun; Ielizaveta Kholmetska; Pavel Krejčí; Pavel Krejčí;

Numerical modeling of Galfenol magnetostrictive response

Abstract

Abstract Specimens of magnetostrictive materials can transform a variation of their stress-induced size into a variation of a produced magnetic field and vice versa. These phenomena are utilized in magnetostrictive energy harvesters, vibration sensors, etc. Mathematical models of magnetostrictive materials vary from complex hysteretic models to relatively simple non-hysteretic models. In this paper, three mathematical models of Galfenol are considered, namely a non-hysteretic model, a non-hysteretic model with a feedback loop, and a model where the hysteresis is represented by the Preisach operator with a simplified Preisach density function. The parameters of these models are identified from measured magnetic and magneto-elastic curves. All the models are applicable in technical praxis. The output of the non-hysteretic model with a feedback loop best fits the measured data and, to some extent, reproduces fine features of magneto-elastic curves.

Country
Czech Republic
Keywords

energy harvesting, hysteresis, magnetostriction

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
Related to Research communities
Energy Research