Issue 17, 2016

A new insight into the conformation and melt dynamics of hydrogenated polybutadiene as revealed by computer simulations

Abstract

Extensive molecular dynamics simulations of the macromolecular conformation and the melt dynamics for model polymers of different molecular weights have been carried out. The selected models are hydrogenated polybutadienes with a 2% content of ethyl branches and linear polyethylene. It will be shown that the density and chain stiffness are clearly affected by both the molecular weight and the presence of ethyl branches. Furthermore, the results obtained from the simulations on the molecular size and, more remarkably, chain dynamics, perfectly match the neutron scattering experiments performed by Zamponi et al. in hydrogenated polybutadienes. We observe a clear chain contraction and a slow dynamics for the hydrogenated polybutadiene with respect to the linear chain of the same molecular length. Using the Likhtman–McLeish definitions, the obtained values of the entanglement relaxation time (τe) and the tube diameter (a) are found to be in agreement with the available experimental data (by rheology and neutron spin echo) as well as with those obtained by the simulations. Finally, a very good agreement of diffusion coefficients as a function of the molecular weight between simulations and experiments is observed. Therefore, there exists a clear difference between the results obtained for branched and linear polyethylene, accounting for a definitive effect of the short chain branching on the conformational properties and the melt dynamics of polyolefins.

Graphical abstract: A new insight into the conformation and melt dynamics of hydrogenated polybutadiene as revealed by computer simulations

Supplementary files

Article information

Article type
Paper
Submitted
21 Dec 2015
Accepted
09 Mar 2016
First published
09 Mar 2016

Soft Matter, 2016,12, 3929-3936

A new insight into the conformation and melt dynamics of hydrogenated polybutadiene as revealed by computer simulations

J. Ramos, J. F. Vega and J. Martínez-Salazar, Soft Matter, 2016, 12, 3929 DOI: 10.1039/C5SM03080C

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