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Contraction of Entangled Polymers After Large Step Shear Deformations in Slip-Link Simulations

Department of Materials Physics, Nagoya University, Nagoya 4648603, Japan
Polymers 2019, 11(2), 370; https://doi.org/10.3390/polym11020370
Received: 4 January 2019 / Revised: 31 January 2019 / Accepted: 4 February 2019 / Published: 20 February 2019
(This article belongs to the Special Issue Theory and Simulations of Entangled Polymers)
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Abstract

Although the tube framework has achieved remarkable success to describe entangled polymer dynamics, the chain motion assumed in tube theories is still a matter of discussion. Recently, Xu et al. [ACS Macro Lett. 2018, 7, 190–195] performed a molecular dynamics simulation for entangled bead-spring chains under a step uniaxial deformation and reported that the relaxation of gyration radii cannot be reproduced by the elaborated single-chain tube model called GLaMM. On the basis of this result, they criticized the tube framework, in which it is assumed that the chain contraction occurs after the deformation before the orientational relaxation. In the present study, as a test of their argument, two different slip-link simulations developed by Doi and Takimoto and by Masubuchi et al. were performed and compared to the results of Xu et al. In spite of the modeling being based on the tube framework, the slip-link simulations excellently reproduced the bead-spring simulation result. Besides, the chain contraction was observed in the simulations as with the tube picture. The obtained results imply that the bead-spring results are within the scope of the tube framework whereas the failure of the GLaMM model is possibly due to the homogeneous assumption along the chain for the fluctuations induced by convective constraint release. View Full-Text
Keywords: entangled polymers; coarse-grained simulation; viscoelasticity; rheology entangled polymers; coarse-grained simulation; viscoelasticity; rheology
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Masubuchi, Y. Contraction of Entangled Polymers After Large Step Shear Deformations in Slip-Link Simulations. Polymers 2019, 11, 370.

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