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Dynamic coordination of miscible polymer blends towards highly designable shape memory effect

Xiaodong Wang, Haibao Lu, Xuqing Liu, Mokarram Hossain Orcid Logo, Yong Qing Fu, Ben Bin Xu

Polymer, Volume: 208, Start page: 122946

Swansea University Author: Mokarram Hossain Orcid Logo

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DOI (Published version): 10.1016/j.polymer.2020.122946

Abstract

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 explo...

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Published in: Polymer
ISSN: 0032-3861
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa55071
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first_indexed 2020-08-26T10:20:35Z
last_indexed 2020-09-27T03:17:49Z
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spelling 2020-09-26T10:18:56.7192031 v2 55071 2020-08-26 Dynamic coordination of miscible polymer blends towards highly designable shape memory effect 140f4aa5c5ec18ec173c8542a7fddafd 0000-0002-4616-1104 Mokarram Hossain Mokarram Hossain true false 2020-08-26 GENG 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 behaviour 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. Journal Article Polymer 208 122946 Elsevier BV 0032-3861 Miscible polymer blends, shape memory effect, dynamic coordination 3 11 2020 2020-11-03 10.1016/j.polymer.2020.122946 COLLEGE NANME General Engineering COLLEGE CODE GENG Swansea University 2020-09-26T10:18:56.7192031 2020-08-26T11:17:53.5035850 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering Xiaodong Wang 1 Haibao Lu 2 Xuqing Liu 3 Mokarram Hossain 0000-0002-4616-1104 4 Yong Qing Fu 5 Ben Bin Xu 6 55071__18050__15cf3e4f746b4242b1f1ff8bdf6c5a7f.pdf 55071.pdf 2020-08-26T11:19:55.1540364 Output 2604912 application/pdf Accepted Manuscript true 2021-08-25T00:00:00.0000000 © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ true English
title Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
spellingShingle Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
Mokarram Hossain
title_short Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
title_full Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
title_fullStr Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
title_full_unstemmed Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
title_sort Dynamic coordination of miscible polymer blends towards highly designable shape memory effect
author_id_str_mv 140f4aa5c5ec18ec173c8542a7fddafd
author_id_fullname_str_mv 140f4aa5c5ec18ec173c8542a7fddafd_***_Mokarram Hossain
author Mokarram Hossain
author2 Xiaodong Wang
Haibao Lu
Xuqing Liu
Mokarram Hossain
Yong Qing Fu
Ben Bin Xu
format Journal article
container_title Polymer
container_volume 208
container_start_page 122946
publishDate 2020
institution Swansea University
issn 0032-3861
doi_str_mv 10.1016/j.polymer.2020.122946
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - General Engineering
document_store_str 1
active_str 0
description 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 behaviour 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.
published_date 2020-11-03T04:09:02Z
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score 11.037144

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