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Scattering model to analyze non-Gaussian deformations of dilute polymers solutions in high shear flows

ORAL

Abstract

Applications of high molecular weight dilute polymer solutions typically involve extreme shear rates that cause nonlinear deformations and chain scission. Although various microscopy methods have been successful for resolving single-molecule deformations for specific biopolymer systems (e.g. DNA), these methods are inaccessible to conventional, synthetic polymers. Recent in situ measurement capabilities using a capillary device allow us to extract microstructural information from SANS measurements about flow-induced deformation at extreme shear rates (~106 s-1) and holds excellent potential for single-molecule studies. However, previously developed analyses for anisotropic scattering of polymers in flow are limited to Gaussian chains, and thus are inadequate for nonlinear strains and strain rates. We introduce a new modeling framework that resolves non-Gaussian deformations of polymers in high shear flows through moments of the chain conformation distribution. The method is then validated using synthetic datasets from parameter-matched Brownian dynamics simulations, and applied to capillary rheo-SANS measurements on a series of architecturally well-defined polymers at high shear flows in order to test the influence of chain topology on non-Gaussian polymer deformations. We anticipate that this new analysis method will inform the rational design of topologically-defined polymers to optimize their performance and lifetime in their applications as rheological modifiers.

Presenters

  • Anukta Datta

    University of California, Santa Barbara

Authors

  • Anukta Datta

    University of California, Santa Barbara

  • Katie M Weigandt

    NIST Center for Neutron Research

  • Xiaoyan Wang

    Rensselaer Polytechnic Institute, Troy, Rensselaer Polytechnic Institute

  • Ryan P Murphy

    National Institute of Standards and Technology

  • Patrick T Underhill

    Rensselaer Polytechnic Institute

  • Matthew E Helgeson

    University of California, Santa Barbara