Published April 1, 2017 | Version v1
Journal article

Statistical analysis of magnetically soft particles in magnetorheological elastomers

  • 1. Technische Universität Dresden, Institute of Fluid Mechanics, D-01062, Dresden (Germany)
  • 2. Heinrich-Heine-Universität Düsseldorf, Institut für Theoretische Physik II: Weiche Materie, D-40225 Düsseldorf (Germany)

Description

The physical properties of magnetorheological elastomers (MRE) are a complex issue and can be influenced and controlled in many ways, e.g. by applying a magnetic field, by external mechanical stimuli, or by an electric potential. In general, the response of MRE materials to these stimuli is crucially dependent on the distribution of the magnetic particles inside the elastomer. Specific knowledge of the interactions between particles or particle clusters is of high relevance for understanding the macroscopic rheological properties and provides an important input for theoretical calculations. In order to gain a better insight into the correlation between the macroscopic effects and microstructure and to generate a database for theoretical analysis, x-ray micro-computed tomography (X- μ CT) investigations as a base for a statistical analysis of the particle configurations were carried out. Different MREs with quantities of 2–15 wt% (0.27–2.3 vol%) of iron powder and different allocations of the particles inside the matrix were prepared. The X- μ CT results were edited by an image processing software regarding the geometrical properties of the particles with and without the influence of an external magnetic field. Pair correlation functions for the positions of the particles inside the elastomer were calculated to statistically characterize the distributions of the particles in the samples. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-665X/aa5f96

Additional details

Identifiers

Publishing Information

Journal Title
Smart Materials and Structures (Print)
Journal Volume
26
Journal Issue
4
Journal Page Range
[10 p.]
ISSN
0964-1726