Enhanced Electro-Activated Performance of Shape Memory Polymer Nanocomposites with Self-Assembled Carbon Nanofibre Template

Haibao Lu; Jingyun Liu; Shipeng Zhu; Yunhua Yang; Yong Qing Fu

doi:10.1166/nnl.2015.1900

Enhanced Electro-Activated Performance of Shape Memory Polymer Nanocomposites with Self-Assembled Carbon Nanofibre Template

Haibao Lu, Jingyun Liu, Shipeng Zhu, Yunhua Yang, Yong Qing Fu

Mathematics, Physics and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

An effective approach to significantly improve electro-activated recovery performance of shape memory polymer (SMP) nanocomposites was investigated in this study, which is based on Joule heating triggered shape recovery through formation of a three-dimensional template of self-assembled carbon nanofibres (CNFs) inside the SMP. This template approach allows effective electro-actuation and resistive heating, mainly attributing to conductive CNF assembly. Electro-activated recovery of the SMP nanocomposites was monitored and the resultant temperature distribution in the SMP nanocomposite during recovery was characterized. Furthermore, the relative thermal conductivity was simulated using ANSYS FLUENT software in order to optimize the structure design for the CNF template.

Original language	English
Pages (from-to)	94-99
Journal	Nanoscience and Nanotechnology Letters
Volume	7
Issue number	2
DOIs	https://doi.org/10.1166/nnl.2015.1900
Publication status	Published - 1 Feb 2015

Keywords

Assembly
carbon nanofiber
nanocomposite
shape memory polymer

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10.1166/nnl.2015.1900

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abstract = "An effective approach to significantly improve electro-activated recovery performance of shape memory polymer (SMP) nanocomposites was investigated in this study, which is based on Joule heating triggered shape recovery through formation of a three-dimensional template of self-assembled carbon nanofibres (CNFs) inside the SMP. This template approach allows effective electro-actuation and resistive heating, mainly attributing to conductive CNF assembly. Electro-activated recovery of the SMP nanocomposites was monitored and the resultant temperature distribution in the SMP nanocomposite during recovery was characterized. Furthermore, the relative thermal conductivity was simulated using ANSYS FLUENT software in order to optimize the structure design for the CNF template.",

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author = "Haibao Lu and Jingyun Liu and Shipeng Zhu and Yunhua Yang and Fu, {Yong Qing}",

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AU - Lu, Haibao

AU - Liu, Jingyun

AU - Zhu, Shipeng

AU - Yang, Yunhua

AU - Fu, Yong Qing

PY - 2015/2/1

Y1 - 2015/2/1

N2 - An effective approach to significantly improve electro-activated recovery performance of shape memory polymer (SMP) nanocomposites was investigated in this study, which is based on Joule heating triggered shape recovery through formation of a three-dimensional template of self-assembled carbon nanofibres (CNFs) inside the SMP. This template approach allows effective electro-actuation and resistive heating, mainly attributing to conductive CNF assembly. Electro-activated recovery of the SMP nanocomposites was monitored and the resultant temperature distribution in the SMP nanocomposite during recovery was characterized. Furthermore, the relative thermal conductivity was simulated using ANSYS FLUENT software in order to optimize the structure design for the CNF template.

AB - An effective approach to significantly improve electro-activated recovery performance of shape memory polymer (SMP) nanocomposites was investigated in this study, which is based on Joule heating triggered shape recovery through formation of a three-dimensional template of self-assembled carbon nanofibres (CNFs) inside the SMP. This template approach allows effective electro-actuation and resistive heating, mainly attributing to conductive CNF assembly. Electro-activated recovery of the SMP nanocomposites was monitored and the resultant temperature distribution in the SMP nanocomposite during recovery was characterized. Furthermore, the relative thermal conductivity was simulated using ANSYS FLUENT software in order to optimize the structure design for the CNF template.

KW - Assembly

KW - carbon nanofiber

KW - nanocomposite

KW - shape memory polymer

U2 - 10.1166/nnl.2015.1900

DO - 10.1166/nnl.2015.1900

M3 - Article

SN - 1941-4900

VL - 7

SP - 94

EP - 99

JO - Nanoscience and Nanotechnology Letters

JF - Nanoscience and Nanotechnology Letters

IS - 2

ER -

Enhanced Electro-Activated Performance of Shape Memory Polymer Nanocomposites with Self-Assembled Carbon Nanofibre Template

Abstract

Keywords

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