Modelling Two Different Disperse Polystyrene with Maxwell Fractional Model in SAOS Experiments

Authors

  • Bruno Manuel Ribeiro Alves

Keywords:

Maxwell fractional model; viscoelastic fluid; SAOS experiments; polystyrene; wolfram mathematica 10; non-linear regression; polydispersity index

Abstract

The purpose of this work is to perform two adjustments of different disperse polystyrene using the technique of Alves (Alves, 2017) with the data present on Farias (Farias, 2009), data belonging to a group of eminent researchers. It is seen that the adjustments are of good quality for a PS anionic polymerised and with an inferior quality for a free-radical polymerised polystyrene. It leads to a possible correlation with the polydispersity index and the quality of adjustment performed with Maxwell fractional model. It is concluded in this work that Maxwell fractional model is able to describe the behaviour when Mw/Mn is closer to 1 but the same is not completely valid for polydispersity index of 1.44.

How to Cite

Bruno Manuel Ribeiro Alves. (2017). Modelling Two Different Disperse Polystyrene with Maxwell Fractional Model in SAOS Experiments. Global Journals of Research in Engineering, 17(J3), 29–33. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1667

Modelling Two Different Disperse Polystyrene with Maxwell Fractional Model in SAOS Experiments

Published

2017-05-15