An unexpected N-dependence in the viscosity reduction in all-polymer nanocomposite

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 (SCNP...

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Veröffentlicht in:Nature communications 2019-12, Vol.10 (1), p.5552-8, Article 5552
Hauptverfasser: Chen, Tao, Zhao, Huan-Yu, Shi, Rui, Lin, Wen-Feng, Jia, Xiang-Meng, Qian, Hu-Jun, Lu, Zhong-Yuan, Zhang, Xing-Xing, Li, Yan-Kai, Sun, Zhao-Yan
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Sprache:eng
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Zusammenfassung: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. Addition of small nanoparticles into polymer melt can lead to decrease in viscosity but the underlying mechanism for such viscosity reduction remains unclear. Here, the authors investigate the reduction in viscosity by large-scale molecular dynamics simulation and experimental rheology measurements for an all-polymer nanocomposite formed by linear polystyrene chains and PS single-chain nanoparticle.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-019-13410-z