We study the structure and linear viscoelasticity of interacting polymer-nanocomposites based on mixtures of polyethylene-oxide and fumed silica particles. The filler is dispersed within the polymer using different techniques which lead to different dispersion states. The analysis of the dynamic response of our systems, highlights the formation of a stress-bearing network above a critical volume fraction, ?c. Extending a two-phase model used to describe weakly interacting systems, we show that above ?c the melt-state elasticity of the composites arises from the independent contributions of a polymer-particle network and a viscous matrix. We also find that while ?c depends on the initial state of dispersion, the network elasticity scales with volume fraction following a universal power-law, with an exponent ??1.8. Such scaling law has been recently predicted for the stress-bearing mechanism governed by polymer-mediated interactions.

STRUCTURE AND DYNAMICS OF MODEL POLYMER NANOCOMPOSITES

2011

Abstract

We study the structure and linear viscoelasticity of interacting polymer-nanocomposites based on mixtures of polyethylene-oxide and fumed silica particles. The filler is dispersed within the polymer using different techniques which lead to different dispersion states. The analysis of the dynamic response of our systems, highlights the formation of a stress-bearing network above a critical volume fraction, ?c. Extending a two-phase model used to describe weakly interacting systems, we show that above ?c the melt-state elasticity of the composites arises from the independent contributions of a polymer-particle network and a viscous matrix. We also find that while ?c depends on the initial state of dispersion, the network elasticity scales with volume fraction following a universal power-law, with an exponent ??1.8. Such scaling law has been recently predicted for the stress-bearing mechanism governed by polymer-mediated interactions.
2011
it
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/315469
Il codice NBN di questa tesi è URN:NBN:IT:BNCF-315469