Wang, Xiaodong, Lu, Haibao, Gorbacheva, Galina, Hossain, Mokarram and Fu, Richard (2021) Multi-modal commutative dynamics in semi-crystalline polymers undergoing multiple shape memory behavior. Smart Materials and Structures, 30 (4). 045003. ISSN 0964-1726
|
Text
Main_manuscript_SMS_111437_revised_version_modified.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1MB) | Preview |
Abstract
Semi-crystalline polymers offer great opportunities for design and tuning of multi shape memory effect (multi-SME) through their programmable melting transitions. However, coexistence of amorphous and crystalline components as well as their multiple interfaces results in complex cooperative dynamics. In this study, we propose a one-dimensional (1D) multi-modal dynamic model to describe the commutative and cooperative dynamics in semi-crystalline shape memory polymers (SMPs) undergoing multi-SME. A three-phase model and Takayanagi principle are firstly applied to study the cooperative dynamics of amorphous/crystalline components and their interfaces. Phase transition theory and modified Avrami theory are further used to model the cooperative dynamics of glass and melting transitions, respectively. Commutative dynamics and glass/melting transitions are further investigated to achieve custom-designed multi-SME and shape recovery behaviors. Finally, effectiveness of the newly established model was demonstrated to predict triple-SMEs and quadruple-SMEs in semi-crystalline polymers reported in literature, and the theoretically obtained results show good agreements with the experimental ones.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Semi-crystalline polymer, commutative dynamics, shape memory effect |
Subjects: | F100 Chemistry F200 Materials Science F300 Physics |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | John Coen |
Date Deposited: | 22 Feb 2021 14:27 |
Last Modified: | 22 Feb 2022 03:30 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/45504 |
Downloads
Downloads per month over past year