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A Methodology of Hydrodynamic Complexity in Topologically Hyper-Branched Polymers Undergoing Hierarchical Multiple Relaxations
Haibao Lu,
Xiaodong Wang,
Mokarram Hossain 
,
Yong Qing Fu
,
Yong Qing Fu
Macromolecular Chemistry and Physics, Volume: 221, Issue: 13, Start page: 2000052
Swansea University Author:
Mokarram Hossain
-
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DOI (Published version): 10.1002/macp.202000052
Abstract
A hydrodynamic model is proposed to describe conformational relaxation of molecules, viscoelasticity of arms, and hierarchical multiple‐shape memory effect (multi‐SME) of hyper‐branched polymer. Fox–Flory and Boltzmann’s principles are employed to characterize and predict the hierarchical relaxation...
| Published in: | Macromolecular Chemistry and Physics |
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| ISSN: | 1022-1352 |
| Published: |
Wiley
2020
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa54466 |
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| Abstract: |
A hydrodynamic model is proposed to describe conformational relaxation of molecules, viscoelasticity of arms, and hierarchical multiple‐shape memory effect (multi‐SME) of hyper‐branched polymer. Fox–Flory and Boltzmann’s principles are employed to characterize and predict the hierarchical relaxations and their multi‐SMEs in hyper‐branched polymers. A constitutive relationship among relaxation time, molecular weight, glass transition temperature, and viscoelastic modulus is then formulated. Results reveal that molecular weight and number of arms of the topologically hyper‐branched polymers significantly influence their hydrodynamic relaxations and shape memory behaviors. The effectiveness of model is demonstrated by applying it to predict mechanical and shape recovery behaviors of hyper‐branched polymers, and the theoretical results show good agreements with the experimental ones. This study is expected to provide an effective guidance on designing multi‐SME in topologically hyper‐branched polymers. |
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| Issue: |
13 |
| Start Page: |
2000052 |