Published April 2014 | Version v1
Journal article

Estimation of effective permeability for magnetoactive composites containing multi-chain-structured particles based on the generalized Mori–Tanaka approach

  • 1. College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, Gansu 730000 (China)
  • 2. Key Laboratory of Mechanics on Environment and Disaster in Western China, The Ministry of Education of China, Lanzhou University, Lanzhou, Gansu 730000 (China)

Description

We present an analytic approach to evaluate the effective permeability of multi-chain-structured magnetic particle-filled composites which is formulated by a microstructure-based double-inclusion magnetic model with the generalized Mori–Tanaka theorem. The local magnetic field in a representative volume element (RVE) containing multi-chain-structured particles is derived by using a modified Green's function. The average fields in the particles, in a matrix coated by particles, and in an effective medium far away from particles are rendered by homogenization of the local magnetic distributions. By means of the relation between the average magnetic field and induction, the effective magnetic permeability of magnetoactive composites is explicitly derived; it exhibits anisotropic and universal behavior. The proposed model has been compared with the available experimental data and other microstructure-based models in the literature; it shows good agreement and gives reliable predictions for magnetic particle-filled composites, especially in terms of capturing the magnetic anisotropic characteristics with respect to the multi-chain-structured particle distribution. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0964-1726/23/4/045009

Additional details

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
23
Journal Issue
4
Journal Page Range
[8 p.]
ISSN
0964-1726

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47048181
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
ANISOTROPY; COMPARATIVE EVALUATIONS; COMPOSITE MATERIALS; EXPERIMENTAL DATA; GREEN FUNCTION; MAGNETIC FIELDS; MAGNETIC SUSCEPTIBILITY; MATRIX MATERIALS; MICROSTRUCTURE; PARTICLES; PERMEABILITY; SPATIAL DISTRIBUTION
Descriptors DEC
DATA; DISTRIBUTION; EVALUATION; FUNCTIONS; INFORMATION; MAGNETIC PROPERTIES; MATERIALS; NUMERICAL DATA; PHYSICAL PROPERTIES