Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/15784
Title: | Assessment of the Tumbling-Snake Model against linear and nonlinear rheological data of bidisperse polymer blends | Authors: | Stephanou, Pavlos S. Kröger, Martin |
Major Field of Science: | Natural Sciences | Field Category: | Earth and Related Environmental Sciences | Keywords: | Stochastic differential equation;Polymer melt;Link tension coefficient;Entanglements;Bidisperse systems | Issue Date: | 1-Jan-2019 | Source: | Polymers, 2019, vol. 11, no. 2 | Volume: | 11 | Issue: | 2 | Journal: | Polymers | Abstract: | We have recently solved the tumbling-snake model for concentrated polymer solutions and entangled melts in the academic case of a monodisperse sample. Here, we extend these studies and provide the stationary solutions of the tumbling-snake model both analytically, for small shear rates, and via Brownian dynamics simulations, for a bidisperse sample over a wide range of shear rates and model parameters. We further show that the tumbling-snake model bears the necessary capacity to compare well with available linear and non-linear rheological data for bidisperse systems. This capacity is added to the already documented ability of the model to accurately predict the shear rheology of monodisperse systems. | URI: | https://hdl.handle.net/20.500.14279/15784 | ISSN: | 20734360 | DOI: | 10.3390/POLYM11020376 | Rights: | © by the authors | Type: | Article | Affiliation : | Cyprus University of Technology Novamechanics Ltd. ETH Zurich |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Stephanou Pavlos assessment.pdf | Full text | 3.35 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
50
6
checked on Nov 6, 2023
WEB OF SCIENCETM
Citations
5
Last Week
0
0
Last month
0
0
checked on Oct 29, 2023
Page view(s)
367
Last Week
1
1
Last month
1
1
checked on Jan 3, 2025
Download(s)
117
checked on Jan 3, 2025
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.