29.06.2013 Views

a) b - École Polytechnique de Montréal

a) b - École Polytechnique de Montréal

a) b - École Polytechnique de Montréal

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

usually utilized to explain the transition from discontinuous phase behavior to continuous phases.<br />

In conductive materials, this transition point is <strong>de</strong>fined as the critical concentration of conductive<br />

phase required to build up a first conductive pathway and is referred to as the percolation<br />

threshold. The percolation threshold is generally <strong>de</strong>fined as the onset of long-range connectivity<br />

in random systems. By employing a double percolated structure, the percolation threshold of the<br />

middle phase sharply <strong>de</strong>creases as its presence is limited only to the interface. The conductivity<br />

of a conductor-insulator blend near the percolation threshold point is calculated by the following<br />

equation:<br />

Equation 4-2. ( ) t<br />

σ σ p − p<br />

= 0<br />

where σ is the conductivity at the percolation threshold point, σ is the conductivity of the<br />

0<br />

blend, p is the concentration of the conductive material, pc is the percolation threshold<br />

concentration, and t is a dimensionless in<strong>de</strong>x.<br />

The classic percolation threshold for a random dispersion of hard-core spheres in a matrix in<br />

three dimensions is approximately 16 volume percent(Scher & Zallen, 1970). Restricting the<br />

dispersed phase spatially, for example in interfacial tension driven structures such as a double-<br />

percolated morphology, can significantly reduce the percolation threshold of that phase. In that<br />

case the particles or polymer components can be precisely located at the interface leading to<br />

dramatic reductions in the percolation threshold value(Gubbels, et al., 1995; Gubbels et al., 1994;<br />

Zhang, et al., 2007). In other words, by controlling the morphology of the blend and restricting<br />

the pathways of the components, the percolation threshold <strong>de</strong>viates from the standard value of<br />

percolation threshold in a random system predicted by percolation theory. Moreover, using the<br />

same approach, controlling the morphology of the system can also influence the behavior of<br />

conductive systems. Confining the pathways of a conductive material in a multiphase system can<br />

result in high conductivities at low concentration of conductive material. The dimensionless<br />

in<strong>de</strong>x t in Equation 4-2 represents the effect of the morphology of the system on the<br />

conductivity behavior. This has already been shown to be possible for conductive systems where<br />

the conductive phase was selectively localized in the multiphase blend and consequently the<br />

c<br />

98

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!