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Linear viscoelastic shear and bulk relaxation moduli in poly(tetramethylene oxide) (PTMO) using united-atom molecular dynamics

journal contribution
posted on 2024-11-02, 21:51 authored by Zakiya Shireen, Elnaz Hajizadeh, Peter DaivisPeter Daivis, Christian Brandl
A quantitative understanding and prediction of the viscoelastic relaxation behavior of polymer melts is required to build up predictive multiscale models, which can be utilized for the practical design of viscoelastic materials. We report the application of the Green–Kubo method to compute the common shear relaxation modulus and the rarely reported bulk relaxation modulus for a realistic united atom model of poly(tetramethylene oxide) (PTMO), which is one key components of the segmented polyurethane (PU) elastomers. The temperature and molecular weight dependent viscoelastic behavior is investigated in detail by computing the bulk relaxation modulus K(t) along with shear relaxation modulus G(t). Our results provide new rheological data for PTMO melt based on the united atom model, which incorporates the chemical details of the polymer backbone. The predicted stress relaxation are mapped onto master curves using the time–temperature superposition principle with horizontal and vertical shift factors. The computed shift factors agree with the Williams–Landel–Ferry equation and appear to be similar for the shear and bulk relaxation modulus. The underlying dynamics for the shear and bulk relaxation modulus appear to stem from the same mechanistic origin as both processes seem to sample similar kinetic signature of the reference time scale of the underlying thermally activated processes in the liquid. Our results demonstrate furthermore, that MD simulations with the chemical details beyond coarse-grained models can sample the Rouse dynamics and the transitions towards entanglement, which is evident by the emergence of a plateau in shear relaxation modulus and scaling relations in the diffusion behavior of the monomer at larger molecular weights.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.commatsci.2022.111824
  2. 2.
    ISSN - Is published in 09270256

Journal

Computational Materials Science

Volume

216

Number

111824

Start page

1

End page

10

Total pages

10

Publisher

Elsevier BV

Place published

Netherlands

Language

English

Copyright

© 2022 Elsevier B.V. All rights reserved.

Former Identifier

2006118492

Esploro creation date

2023-01-29

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