Published April 1, 2017 | Version v1
Journal article

Alignment of carbon iron into polydimethylsiloxane to create conductive composite with low percolation threshold and high piezoresistivity: experiment and simulation

  • 1. Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026 (China)
  • 2. Institute of Advanced Manufacturing Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Changzhou 213164 (China)

Description

In this study, various amounts of carbonyl iron particles (CIPs) were cured into polydimethylsiloxane (PDMS) matrix under a magnetic field up to 1.0 T to create anisotropy of conductive composite materials. The electrical resistivity for the longitudinal direction was measured as a function of filler volume fraction to understand the electrical percolation behavior. The electrical percolation threshold (EPT) of CIPs–PDMS composite cured under a magnetic field can be as low as 0.1 vol%, which is much less than most of those studies in particulate composites. Meanwhile, the effects of compressive strain on the electrical properties of CIPs–PDMS composites were also investigated. The strain sensitivity depends on filler volume fraction and decreases with the increasing of compressive strain. It has been found that the composites containing a small amount of CI particles curing under a magnetic field exhibit a high strain sensitivity of over 150. Based on the morphological observation of the composite structures, a two-dimensional stick percolation model for the CIPs–PDMS composites has been established. The Monte Carlo simulation is performed to obtain the percolation probability. The simulation results in prediction of the values of EPTs are close to that of experimental measurements. It demonstrates that the low percolation behavior of CIPs–PDMS composites is due to the average length of particle chains forming by external magnetic field. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-665X/aa62d2

Additional details

Identifiers

Publishing Information

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

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
50034786
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
CARBON; COMPOSITE MATERIALS; ELECTRIC CONDUCTIVITY; FILLERS; IRON; MAGNETIC FIELDS; MONTE CARLO METHOD; PARTICULATES; SENSITIVITY; STRAINS
Descriptors DEC
CALCULATION METHODS; ELECTRICAL PROPERTIES; ELEMENTS; MATERIALS; METALS; NONMETALS; PARTICLES; PHYSICAL PROPERTIES; TRANSITION ELEMENTS