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Nanoparticle Clustering and Viscoelastic Properties of Polymer Nanocomposites with Non-Attractive Polymer–Nanoparticle Interactions

Lixian Song, Shalin Patil, Yingze Song, Liang Chen, Fucheng Tian, Le Chen, Xueyu Li, Liangbin Li, Shiwang Cheng

2022Macromolecules15 citationsDOI

Abstract

Combining X-ray tomography and rheology, we investigate the nanoparticle (NP) clustering and viscoelastic properties of polymer nanocomposites (PNCs) with non-attractive polymer–NP interactions. X-ray tomography reveals linear and compact NP clusters with preferential orientations rather than tenuous NP clustering structures, highlighting the non-equilibrium nature of NP clustering and the influence of processing on morphology of NP clusters. Detailed analyses show that the number density of NP clusters of N NPs follows P(N) ≈ N–k exp(−N/N*) with N* as a constant and k ≈ 1.8 ± 0.2. Moreover, varying the polymer–NP interactions from strongly repulsive to nearly athermal does not alter noticeably the clustering and the percolation behavior of the NP phase. Linear viscoelastic measurements reveal negligible dynamics slowing down and unexpectedly weak mechanical reinforcement of PNCs following the classical Guth–Gold relation, in sharp contrast to the strong NP clustering from structure characterizations. These results point to qualitatively different clustering behaviors and mechanical reinforcement of PNCs with non-attractive polymer–NP interactions from those with strong attractive interactions.

Topics & Concepts

ViscoelasticityCluster analysisNanoparticlePolymerRheologyMaterials scienceNanocompositePercolation (cognitive psychology)Polymer nanocompositeChemical physicsNanotechnologyChemistryComposite materialMathematicsNeuroscienceStatisticsBiologyPolymer Nanocomposites and PropertiesForce Microscopy Techniques and ApplicationsPolymer crystallization and properties
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