Mechanical reinforcement of polymer nanocomposites from percolation of a nanoparticle network

Quan Chen, Shushan Gong, Joseph Moll, Dan Zhao, Sanat K. Kumar, Ralph H. Colby

Research output: Contribution to journalArticle

81 Citations (Scopus)

Abstract

Nanometer-sized particles that are well dispersed in a polymer melt, presumably due to strongly favorable particle-polymer interactions, can form fractal structures via polymer bridging, leading ultimately to a nanoparticle (NP) network analogous to a colloidal gel. The linear viscoelastic response of polymer nanocomposites can be quantitatively predicted by a parameter-free model in which the stress is a simple sum of contributions from the polymer matrix and the fractal NP structure linked by bridging polymer chains. The NP contribution is modeled using critical percolation, while the polymer part is enhanced by the presence of particles, owing to hydrodynamic interactions. The phase diagram at the right shows that small NPs are needed to achieve the stronger reinforcement from glassy bridges at reasonable particle loadings.

Original languageEnglish (US)
Pages (from-to)398-402
Number of pages5
JournalACS Macro Letters
Volume4
Issue number4
DOIs
StatePublished - Apr 21 2015

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Nanocomposites
Reinforcement
Polymers
Nanoparticles
Fractals
Polymer melts
Polymer matrix
Phase diagrams
Gels
Hydrodynamics

All Science Journal Classification (ASJC) codes

  • Organic Chemistry
  • Polymers and Plastics
  • Inorganic Chemistry
  • Materials Chemistry

Cite this

Chen, Quan ; Gong, Shushan ; Moll, Joseph ; Zhao, Dan ; Kumar, Sanat K. ; Colby, Ralph H. / Mechanical reinforcement of polymer nanocomposites from percolation of a nanoparticle network. In: ACS Macro Letters. 2015 ; Vol. 4, No. 4. pp. 398-402.
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Mechanical reinforcement of polymer nanocomposites from percolation of a nanoparticle network. / Chen, Quan; Gong, Shushan; Moll, Joseph; Zhao, Dan; Kumar, Sanat K.; Colby, Ralph H.

In: ACS Macro Letters, Vol. 4, No. 4, 21.04.2015, p. 398-402.

Research output: Contribution to journalArticle

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