نتایج جستجو برای: magnetostriction

تعداد نتایج: 865  

2017
D. Chatterjee

Lattice parameters, magnetization, thermal expansion and magnetostriction of a series of single crystal and polycrystalline specimens of Tb-Sc alloys have been measured. The various experimental observations are examined in terms of the single ion theory of Callen & Callen and the magnetoelastic energy evaluated for the various compositions.

2006
R. V. Iyer S. Manservisi

In recent years, a low-dimensional model for thin magnetostrictive actuators that incorporated magneto-elastic coupling, inertial and damping effects, ferromagnetic hysteresis and classical eddy current losses was developed using energy–balance principles by Venkataraman and Krishnaprasad. This model, with the classical Preisach operator representing the hysteretic constitutive relation between...

2016
Jake Steiner Abdellah Lisfi Tomoyuki Kakeshita Takashi Fukuda Manfred Wuttig

Fe68.8Pd31.2 exhibits an anomalously large magnetostriction of ~400 ppm at room temperature as well as linear, isotropic, and hysteresis free magnetization behavior. This near perfectly reversible magnetic response is attributable to the presence of a large number of premartensitic magnetoelastic twin clusters present in the system made possible through the elastic softening that occurs near a ...

2015
Richard D. James David Kinderlehrer

Microstructural properties of materials, especially crystalline solids, are implicated in many of their properties. Vice versa, there are macroscopic environments which limit microstructural configurations. Certain iron/rare earth alloys, eg, TbDyFe2, display both a huge magnetostriction and frustration, i.e., minimum energy not achieved, in which microstructure plays an important, if puzzling,...

Journal: :Physical Review (Series I) 1903

Journal: :Journal of the Magnetics Society of Japan 1989

Journal: :IEEE Transactions on Magnetics 2015

Journal: :npj computational materials 2021

Various machine learning models have been used to predict the properties of polycrystalline materials, but none them directly consider physical interactions among neighboring grains despite such microscopic critically determining macroscopic material properties. Here, we develop a graph neural network (GNN) model for obtaining an embedding microstructure which incorporates not only features ind...

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