Filler-Induced Composition Waves in Phase-Separating Polymer Blends

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages, revtex, 12 eps figures

Scientific paper

10.1103/PhysRevE.60.5812

The influence of immobile filler particles (spheres, fibers, platelets) on polymer blend phase separation is investigated computationally using a generalization of the Cahn-Hilliard-Cook (CHC) model. Simulation shows that the selective affinity of one of the polymers for the filler surface leads to the development of concentration waves about the filler particles at an early stage of phase separation in near critical composition blends. These "target" patterns are overtaken in late stage phase separation by a growing "background" spinodal pattern characteristic of blends without filler particles. The linearized CHC model is used to estimate the number of composition oscillations emanating from isolated filler particles. In far-off-critical composition blends, an "encapsulation layer" grows at the surface of the filler rather than a target pattern. The results of these simulations compare favorably with experiments on filled phase separating blend films.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Filler-Induced Composition Waves in Phase-Separating Polymer Blends does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Filler-Induced Composition Waves in Phase-Separating Polymer Blends, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Filler-Induced Composition Waves in Phase-Separating Polymer Blends will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-653836

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.