A two-scale homogenization analysis of porous magneto-electric two-phase composites

被引:10
|
作者
Labusch, Matthias [1 ]
Schroeder, Joerg [1 ]
Lupascu, Doru C. [2 ,3 ]
机构
[1] Univ Duisburg Essen, Inst Mech, Univ Str 15, D-45141 Essen, Germany
[2] Univ Duisburg Essen, Inst Mat Sci, Univ Str 15, D-45141 Essen, Germany
[3] Univ Duisburg Essen, Ctr Nanointegrat CENIDE, Univ Str 15, D-45141 Essen, Germany
关键词
Homogenization; Porous composites; <mml:msup>FE<mml:mn>2</mml:mn></mml:msup>-method; Effective properties; Magneto-electro-mechanical coupling; MULTIFERROICS; LOCALIZATION; PARTICULATE; CERAMICS;
D O I
10.1007/s00419-018-01500-1
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A computational homogenization analysis for the simulation of porous magneto-electric composite materials is presented. These materials combine two or more ferroic states with each other enabling a coupling between magnetization and electric polarization. This magneto-electric coupling finds application in sensor technology or data storage devices. Since most single-phase multiferroics show coupling at very low temperatures beyond technically relevant applications, two-phase composites, consisting of a ferroelectric and a ferromagnetic phases, are manufactured. They generate a strain-induced magneto-electric coupling at room temperature. The performance and reliability of these materials is influenced by defects or pores, which can arise during the manufacturing process. We analyze the impact of pores on the magnitude of the magneto-electric coupling coefficient. In order to determine the effective properties of the composite, a two-scale finite element (FE2) homogenization approach is performed. It combines the macroscopic and microscopic scale by direct incorporation of the microscopic morphology. We derive the basic equations for the localization and the homogenization of the individual field variables and give an algorithmic expression for the effective tangent moduli. We discuss the influence of pores on the magneto-electric coupling in two-phase composites by analyzing numerical examples.
引用
收藏
页码:1123 / 1140
页数:18
相关论文
共 50 条
  • [21] Determination of the Effective Permeability of Doubly Porous Materials by a Two-Scale Homogenization Approach
    A.-T. Tran
    H. Le-Quang
    Q.-C. He
    D.-H. Nguyen
    Transport in Porous Media, 2022, 145 : 197 - 243
  • [22] Determination of the Effective Permeability of Doubly Porous Materials by a Two-Scale Homogenization Approach
    Tran, A-T
    Le-Quang, H.
    He, Q-C
    Nguyen, D-H
    TRANSPORT IN POROUS MEDIA, 2022, 145 (01) : 197 - 243
  • [23] Homogenization of compressible two-phase two-component flow in porous media
    Amaziane, B.
    Pankratov, L.
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2016, 30 : 213 - 235
  • [24] An introduction to the two-scale homogenization method for seismology
    Capdeville, Yann
    Cupillard, Paul
    Singh, Sneha
    MACHINE LEARNING IN GEOSCIENCES, 2020, 61 : 217 - 306
  • [25] Effective properties of fractional viscoelastic composites via two-scale asymptotic homogenization
    Ramirez-Torres, Ariel
    Penta, Raimondo
    Grillo, Alfio
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (16) : 16500 - 16520
  • [26] A two-scale homogenization framework for nonlinear effective thermal conductivity of laminated composites
    Anastasia Hanifah Muliana
    Jeong Sik Kim
    Acta Mechanica, 2010, 212 : 319 - 347
  • [27] A two-scale homogenization framework for nonlinear effective thermal conductivity of laminated composites
    Muliana, Anastasia Hanifah
    Kim, Jeong Sik
    ACTA MECHANICA, 2010, 212 (3-4) : 319 - 347
  • [28] Homogenization of Reynolds equation by two-scale convergence
    Wall, Peter
    CHINESE ANNALS OF MATHEMATICS SERIES B, 2007, 28 (03) : 363 - 374
  • [29] Sparse Two-Scale FEM for Homogenization Problems
    Matache, A. -M.
    JOURNAL OF SCIENTIFIC COMPUTING, 2002, 17 (1-4) : 659 - 669
  • [30] Two-scale computational homogenization of calcified hydrogels
    Ayguen, Serhat
    Klinge, Sandra
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2024, 47 (17) : 13182 - 13198