Hostname: page-component-76fb5796d-22dnz Total loading time: 0 Render date: 2024-04-27T15:05:17.799Z Has data issue: false hasContentIssue false
  • English
  • Français

Morphology and Conductivity of Polymer Blends Filled with Carbon Black

Published online by Cambridge University Press:  21 February 2011

G. Geuskens ,
E. De Kezel ,
S. Blacher  and
F. Brouers
G. Geuskens
Affiliation:
Department of Chemistry, Université Libre de Bruxelles, Campus Plaine, B-1050
E. De Kezel
Affiliation:
Department of Chemistry, Université Libre de Bruxelles, Campus Plaine, B-1050
S. Blacher
Affiliation:
Génie Chimique, Physique des Matériaux, Université de Liège, B-4000, Belgium
F. Brouers
Affiliation:
Physique des Matériaux, Université de Liège, B-4000, Belgium
Get access

Abstract

It has been shown that the electrical conductivity of polymer blends filled with carbon black (CB) can be much higher than that of each constituent for the same level of loading. It is very difficult to understand this phenomenon due to the complexity of the three phases system. In particular it has been argued that the results could not be explained if the morphology of the blend was independent of the amount of CB. Indeed, an image analysis of the TEM and SEM micrographs of polymer blends filled with Ketjenblack (KB), reveals that the size distribution of the polystyrene component of the blend changes with the concentration of KB. One observes that an increase of 5% in KB results in a reduction of the average size of the PS component by 50% Since the KB dispersion seems to be linked to the dispersion of the polystyrene component our findings could explain why the dispersion is improved in the blend and gives rise to a lower percolation threshold.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 214: Symposium R1 – Optical and Electrical Properties of Polymers , 1990 , 95
Copyright
Copyright © Materials Research Society 1991

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1) Geuskens, G., Gielens, J.L., Geshef, D. and Deltour, R. Eur. Polym. J. 23, 993 (1987)Google Scholar
2) Misayaka, K., Watanabe, K., Jojima, E., Aida, H., Sumita, M. and Ishikawa, K.. J. Mat. Sciences 17, 1610 (1982)CrossRefGoogle Scholar
3) Sumita, M., Hideki, A., Hiroyuki, K., Misayaka, K., J. Macromol. Sc. B25 (1&2) 171 (1986)CrossRefGoogle Scholar
4) Serra, J.: Image Analysis and Mathematical Morphology Vol.1 Academic Press (1986)Google Scholar
5) Rosenfeld, A. and Kak, A.C. Digital Picture Processing, Academic Press (1986)Google Scholar
6) Serra, J.: Image Analysis and Mathematical Morphology Vol.1 Academic Press (1982) (chapter X)Google Scholar
7) Coster, M. and Chermant, J.L.: Précis d'analyse d'images CNRS (1985) (chapter V)Google Scholar
8) Serra, J.: Image Analysis and Mathematical Morphology Vol.1, Academic Press (1982) (chapter IX)Google Scholar