Abstract
Adding small nanoparticles (NPs) into polymer melt can lead to a non-Einstein-like decrease in viscosity. However, the underlying mechanism remains a long-standing unsolved puzzle. Here, for an all-polymer nanocomposite formed by linear polystyrene (PS) chains and PS single-chain nanoparticles (SCNPs), we perform large-scale molecular dynamics simulations and experimental rheology measurements. We show that with a fixed (small) loading of the SCNP, viscosity reduction (VR) effect can be largely amplified with an increase in matrix chain length N, and that the system with longer polymer chains will have a larger VR. We demonstrate that such N-dependent VR can be attributed to the friction reduction experienced by polymer segment blobs which have similar size and interact directly with these SCNPs. A theoretical model is proposed based on the tube model. We demonstrate that it can well describe the friction reduction experienced by melt polymers and the VR effect in these composite systems.
Highlights
Adding small nanoparticles (NPs) into polymer melt can lead to a non-Einstein-like decrease in viscosity
By performing large-scale molecular dynamics simulations and experimental rheological measurements, dynamics in an all-polymer composite system composed of linear polystyrene chains and internally cross-linked single-chain nanoparticles (SCNPs) are investigated
We demonstrate that adding soft SCNPs can dramatically
Summary
Adding small nanoparticles (NPs) into polymer melt can lead to a non-Einstein-like decrease in viscosity. A recent molecular dynamics simulation study[19] showed that with a small loading of NPs, VR effect can be attributed to the disentanglement effect found for melt polymer chains.
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