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High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures

H. Zhao, J.J. Wie, D. Copic, C.R. Oliver, A. Orbaek White, S. Kim, A.J. Hart, Alvin Orbaek White Orcid Logo

ACS Applied Materials & Interfaces, Volume: 8, Issue: 12, Pages: 8110 - 8117

Swansea University Author: Alvin Orbaek White Orcid Logo

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DOI (Published version): 10.1021/acsami.6b00785

Abstract

Liquid crystalline polymers have recently been engineered to exhibit complex macroscopic shape adaptivity, including optically- and thermally driven bending, self-sustaining oscillation, torsional motion, and three-dimensional folding. Miniaturization of these novel materials is of great interest fo...

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Published in: ACS Applied Materials & Interfaces
ISSN: 1944-8244 1944-8252
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa32795
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spelling 2017-03-30T16:09:55.2959429 v2 32795 2017-03-29 High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures 8414a23650d4403fdfe1a735dbd2e24e 0000-0001-6338-5970 Alvin Orbaek White Alvin Orbaek White true false 2017-03-29 CHEG Liquid crystalline polymers have recently been engineered to exhibit complex macroscopic shape adaptivity, including optically- and thermally driven bending, self-sustaining oscillation, torsional motion, and three-dimensional folding. Miniaturization of these novel materials is of great interest for both fundamental study of processing conditions and for the development of shape-changing microdevices. Here, we present a scalable method for high-fidelity replica molding of glassy liquid crystalline polymer networks (LCNs), by vacuum-assisted replica molding, along with magnetic field-induced control of the molecular alignment. We find that an oxygen-free environment is essential to establish high-fidelity molding with low surface roughness. Identical arrays of homeotropic and polydomain LCN microstructures are fabricated to assess the influence of molecular alignment on the elastic modulus (E = 1.48 GPa compared to E = 0.54 GPa), and side-view imaging is used to quantify the reversible thermal actuation of individual LCN micropillars by high-resolution tracking of edge motion. The methods and results from this study will be synergistic with future advances in liquid crystalline polymer chemistry, and could enable the scalable manufacturing of stimuli-responsive surfaces for applications including microfluidics, tunable optics, and surfaces with switchable wetting and adhesion. Journal Article ACS Applied Materials &amp; Interfaces 8 12 8110 8117 1944-8244 1944-8252 actuation; liquid crystalline polymer; microstructures; replica molding; surfaces 31 12 2016 2016-12-31 10.1021/acsami.6b00785 http://www.scopus.com/inward/record.url?eid=2-s2.0-84963517871&amp;partnerID=MN8TOARS COLLEGE NANME Chemical Engineering COLLEGE CODE CHEG Swansea University 2017-03-30T16:09:55.2959429 2017-03-29T14:46:31.0500602 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering H. Zhao 1 J.J. Wie 2 D. Copic 3 C.R. Oliver 4 A. Orbaek White 5 S. Kim 6 A.J. Hart 7 Alvin Orbaek White 0000-0001-6338-5970 8
title High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
spellingShingle High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
Alvin Orbaek White
title_short High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
title_full High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
title_fullStr High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
title_full_unstemmed High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
title_sort High-Fidelity Replica Molding of Glassy Liquid Crystalline Polymer Microstructures
author_id_str_mv 8414a23650d4403fdfe1a735dbd2e24e
author_id_fullname_str_mv 8414a23650d4403fdfe1a735dbd2e24e_***_Alvin Orbaek White
author Alvin Orbaek White
author2 H. Zhao
J.J. Wie
D. Copic
C.R. Oliver
A. Orbaek White
S. Kim
A.J. Hart
Alvin Orbaek White
format Journal article
container_title ACS Applied Materials &amp; Interfaces
container_volume 8
container_issue 12
container_start_page 8110
publishDate 2016
institution Swansea University
issn 1944-8244
1944-8252
doi_str_mv 10.1021/acsami.6b00785
college_str Faculty of Science and Engineering
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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 Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84963517871&amp;partnerID=MN8TOARS
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description Liquid crystalline polymers have recently been engineered to exhibit complex macroscopic shape adaptivity, including optically- and thermally driven bending, self-sustaining oscillation, torsional motion, and three-dimensional folding. Miniaturization of these novel materials is of great interest for both fundamental study of processing conditions and for the development of shape-changing microdevices. Here, we present a scalable method for high-fidelity replica molding of glassy liquid crystalline polymer networks (LCNs), by vacuum-assisted replica molding, along with magnetic field-induced control of the molecular alignment. We find that an oxygen-free environment is essential to establish high-fidelity molding with low surface roughness. Identical arrays of homeotropic and polydomain LCN microstructures are fabricated to assess the influence of molecular alignment on the elastic modulus (E = 1.48 GPa compared to E = 0.54 GPa), and side-view imaging is used to quantify the reversible thermal actuation of individual LCN micropillars by high-resolution tracking of edge motion. The methods and results from this study will be synergistic with future advances in liquid crystalline polymer chemistry, and could enable the scalable manufacturing of stimuli-responsive surfaces for applications including microfluidics, tunable optics, and surfaces with switchable wetting and adhesion.
published_date 2016-12-31T03:40:19Z
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score 11.016258