Dynamic Coordination of Miscible Polymer Blends towards Highly Designable Shape Memory Effect

Wang, Xiaodong, Lu, Haibao, Liu, Xuqing, Hossain, Mokarram, Fu, Richard and Xu, Bin (2020) Dynamic Coordination of Miscible Polymer Blends towards Highly Designable Shape Memory Effect. Polymer, 208. p. 122946. ISSN 0032-3861

Revised_Manuscript.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (1MB) | Preview
Official URL: https://doi.org/10.1016/j.polymer.2020.122946


Miscible polymer blends offer great designability on shape memory effect (SME) with adjustable mechanical properties and stimuli-responsiveness, by simply changing the constituent compositions. However, the thermodynamics understanding behind those SMEs on miscible polymer blends are yet to be explored. This paper describes an approach to achieve highly designable SMEs with adjustable glass transition temperature (Tg) and width of glass transition zone by dynamically coordinating components in miscible blends. An extended domain size model was formulated based on the Adam-Gibbs theory and Gaussian distribution theory to study the synergistic coordination of component heterogeneities on conformational entropy, glass transition and relaxation behavior of the miscible blend. The effectiveness of model was demonstrated by applying it to predict dual- and triple-SMEs in miscible polymer blends, where the theoretical results show good agreements with the experiment results. We expect this study provide an effective guidance on designing advanced miscible polymer blends based on the SME.

Item Type: Article
Uncontrolled Keywords: Miscible polymer blends; shape memory effect; dynamic coordination
Subjects: F200 Materials Science
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 19 Aug 2020 10:56
Last Modified: 16 Dec 2022 16:00
URI: https://nrl.northumbria.ac.uk/id/eprint/44132

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics