Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application

Shape memory polymers (SMPs) are a polymeric smart material that can register two or more temporary shapes and transform to one another through an external stimulus. Despite their compactness and customizability, SMPs haven't been able to be adopted for mainstream applications. Since the majori...

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Main Authors: Loeblein, Manuela, Bolker, Asaf, Ngoh, Zhi Lin, Li, Lanxin, Wallach, Eliana, Tsang, Siu Hon, Pawlik, Matthieu, Verker, Ronen, Atar, Nurit, Gouzman, Irina, Teo, Edwin Hang Tong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/143956
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1439562020-10-05T03:11:48Z Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application Loeblein, Manuela Bolker, Asaf Ngoh, Zhi Lin Li, Lanxin Wallach, Eliana Tsang, Siu Hon Pawlik, Matthieu Verker, Ronen Atar, Nurit Gouzman, Irina Teo, Edwin Hang Tong School of Electrical and Electronic Engineering Temasek Laboratories Engineering::Electrical and electronic engineering Shape Memory Polymer Foam-like Materials Shape memory polymers (SMPs) are a polymeric smart material that can register two or more temporary shapes and transform to one another through an external stimulus. Despite their compactness and customizability, SMPs haven't been able to be adopted for mainstream applications. Since the majority of SMPs are triggered by heat, and SMPs have a very poor thermal conductivity, large thermal gradients within the polymer appear which cause slow response, inhomogeneous heat distribution and thus non-uniform transformation of shapes and cracks. Many have attempted to improve their thermal performance through the incorporation of filler-based nanomaterials. However, the outcome is ineffective as the spatial dispersion of fillers within the SMP is inhomogeneous and leads to performance loss. Contrastingly, the herein presented new class of nanocomposite-SMP, composed by 3D-foam fillers, showcase a much more efficient SMP adaptable to larger area with faster transformation speed and without any performance loss. Furthermore, the improved thermal properties lead to a decrease in required input energy, as well as render the SMP a self-heating capability which can be further designed into timed multi-step SMP behavior. 2020-10-05T03:11:48Z 2020-10-05T03:11:48Z 2018 Journal Article Loeblein, M., Bolker, A., Ngoh, Z. L., Li, L., Wallach, E., Tsang, S. H., ... Teo, E. H. T. (2018). Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application. Carbon, 139, 626-634. doi:10.1016/j.carbon.2018.07.018. 0008-6223 https://hdl.handle.net/10356/143956 10.1016/j.carbon.2018.07.018 139 626 634 en Carbon © 2018 Published by Elsevier Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Shape Memory Polymer
Foam-like Materials
spellingShingle Engineering::Electrical and electronic engineering
Shape Memory Polymer
Foam-like Materials
Loeblein, Manuela
Bolker, Asaf
Ngoh, Zhi Lin
Li, Lanxin
Wallach, Eliana
Tsang, Siu Hon
Pawlik, Matthieu
Verker, Ronen
Atar, Nurit
Gouzman, Irina
Teo, Edwin Hang Tong
Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
description Shape memory polymers (SMPs) are a polymeric smart material that can register two or more temporary shapes and transform to one another through an external stimulus. Despite their compactness and customizability, SMPs haven't been able to be adopted for mainstream applications. Since the majority of SMPs are triggered by heat, and SMPs have a very poor thermal conductivity, large thermal gradients within the polymer appear which cause slow response, inhomogeneous heat distribution and thus non-uniform transformation of shapes and cracks. Many have attempted to improve their thermal performance through the incorporation of filler-based nanomaterials. However, the outcome is ineffective as the spatial dispersion of fillers within the SMP is inhomogeneous and leads to performance loss. Contrastingly, the herein presented new class of nanocomposite-SMP, composed by 3D-foam fillers, showcase a much more efficient SMP adaptable to larger area with faster transformation speed and without any performance loss. Furthermore, the improved thermal properties lead to a decrease in required input energy, as well as render the SMP a self-heating capability which can be further designed into timed multi-step SMP behavior.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Loeblein, Manuela
Bolker, Asaf
Ngoh, Zhi Lin
Li, Lanxin
Wallach, Eliana
Tsang, Siu Hon
Pawlik, Matthieu
Verker, Ronen
Atar, Nurit
Gouzman, Irina
Teo, Edwin Hang Tong
format Article
author Loeblein, Manuela
Bolker, Asaf
Ngoh, Zhi Lin
Li, Lanxin
Wallach, Eliana
Tsang, Siu Hon
Pawlik, Matthieu
Verker, Ronen
Atar, Nurit
Gouzman, Irina
Teo, Edwin Hang Tong
author_sort Loeblein, Manuela
title Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
title_short Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
title_full Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
title_fullStr Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
title_full_unstemmed Novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
title_sort novel timed and self-resistive heating shape memory polymer hybrid for large area and energy efficient application
publishDate 2020
url https://hdl.handle.net/10356/143956
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