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Polymer rheology simulations at the meso- and macroscopic scale

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Sultan, Eric, de Meent, J. -W. van, Somfai, Ellák, Morozov, A. N. and van Saarloos, W. (2010) Polymer rheology simulations at the meso- and macroscopic scale. EPL (Europhysics Letters), Vol.90 (No.6). article no. 64002 . doi:10.1209/0295-5075/90/64002

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Official URL: http://dx.doi.org/10.1209/0295-5075/90/64002

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Abstract

We show that simulations of polymer rheology at a fluctuating mesoscopic scale and at the macroscopic scale where flow instabilities occur can be achieved at the same time with dissipative particle dynamics (DPD) technique. We model the viscoelasticity of polymer liquids by introducing a finite fraction of dumbbells in the standard DPD fluid. The stretching and tumbling statistics of these dumbbells is in agreement with what is known for isolated polymers in shear flows. At the same time, the model exhibits behaviour reminiscent of drag reduction in the turbulent state: as the polymer fraction increases, the onset of turbulence in plane Couette flow is pushed to higher Reynolds numbers. The method opens up the possibility to model non-trivial rheological conditions with ensuing coarse-grained polymer statistics. Copyright (c) EPLA, 2010

Item Type: Journal Article
Subjects: Q Science > QC Physics
Q Science > QD Chemistry
Divisions: Faculty of Science > Centre for Complexity Science
Faculty of Science > Physics
Library of Congress Subject Headings (LCSH): Polymers -- Rheology, Polymers -- Simulation methods
Journal or Publication Title: EPL (Europhysics Letters)
Publisher: Institute of Physics Publishing Ltd.
ISSN: 0295-5075
Official Date: June 2010
Dates:
DateEvent
June 2010Published
Volume: Vol.90
Number: No.6
Number of Pages: 6
Page Range: article no. 64002
DOI: 10.1209/0295-5075/90/64002
Status: Peer Reviewed
Publication Status: Published
Funder: Nederlandse Organisatie voor Wetenschappelijk Onderzoek [ Nederlands Organization for Scientific Research] (NWO), Stichting voor Fundamenteel Onderzoek der Materi [Dutch Physics Funding Foundation] (FOM), Royal Society of Edinburgh

Data sourced from Thomson Reuters' Web of Knowledge

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