Das, C orcid.org/0000-0002-1454-6210, Li, W, Read, DJ orcid.org/0000-0003-1194-9273 et al. (1 more author) (2019) Coupled models for polymer synthesis and rheology to determine branching architectures and predict flow properties. Rheologica Acta, 58 (3-4). pp. 159-172. ISSN 0035-4511
Abstract
Advance in computational rheology allows for in silico predictions of the viscoelastic responses of arbitrarily branched polymer melts. While detailed branching structure is required for the rheology predictions, rheology itself is often the most sensitive tool to detect low levels of branching. With rheological experiments and computational modeling of a set of nominally linear and model comb ethylene-butene copolymers, we show that coupled models for the synthesis and rheology can integrate diverse measurements, incorporating inherent experimental uncertainties. This approach allows us to achieve tight bounds on the branching structures of the constituent molecules. Next, we numerically explore the effects of the numbers and molar masses of side arms in comb polymers on the viscoelastic responses in both the linear and nonlinear regimes. Such computational exploration can aid in designing specific polymers suitable for a given processing scenario.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Polymer rheology; Long-chain branching; Cross-linked polymer; Structure-rheology relations |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Funding Information: | Funder Grant number Exxon Mobile Research & Engineering Co EM09195 Exxon Mobile Research & Engineering Co EM09195.A2 |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Feb 2019 15:43 |
Last Modified: | 25 Jun 2023 21:43 |
Status: | Published |
Publisher: | Springer Berlin Heidelberg |
Identification Number: | 10.1007/s00397-019-01133-3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142875 |
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