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Computational Mechanics
Published in: Computational Mechanics 1/2014

01-07-2014 | Original Paper

Product properties of a two-phase magneto-electric composite: Synthesis and numerical modeling

Authors: Matthias Labusch, Morad Etier, Doru C. Lupascu, Jörg Schröder, Marc-André Keip

Published in: Computational Mechanics | Issue 1/2014

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Abstract

Magneto-electric (ME) materials are of high interest for a variety of advanced applications like in data storage and sensor technology. Due to the low ME coupling in natural materials, composite structures become relevant which generate the effective ME coupling as a strain-mediated product property. In this framework, it seems to be possible to achieve effective ME coefficients that can be exploited technologically. The present contribution investigates the realization of particulate ME composites with a focus on their experimental and computational characterization. We will show that different states of pre-polarizations of the ferroelectric material have a decisive influence on the overall obtainable ME coefficient. Details on the synthesis of two-phase composite microstructures consisting of a barium titanate matrix and cobalt ferrite inclusions will be discussed. Subsequently we will employ computational homogenization in order to determine the effective properties of the experimental composite numerically. We investigate the influence of different states of pre-polarization on the resulting ME-coefficients. For the numerical incorporation of the pre-polarization we use a heuristic method.
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Footnotes
1
In the work [27] these parameters are given by \(\mu _{11} = - 590\,\mathrm{N}/\mathrm{kA^2}\) and \(q_{33} = +699.7\,\mathrm{N}/\mathrm{kAmm}\).
 
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Metadata
Title
Product properties of a two-phase magneto-electric composite: Synthesis and numerical modeling
Authors
Matthias Labusch
Morad Etier
Doru C. Lupascu
Jörg Schröder
Marc-André Keip
Publication date
01-07-2014
Publisher
Springer Berlin Heidelberg
Published in
Computational Mechanics / Issue 1/2014
Print ISSN: 0178-7675
Electronic ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-014-1031-3

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