Functional shape memory composite nanofibers with graphene oxide filler

Lin Tan, Lu Gan, Jinlian Hu, Yong Zhu, Jianping Han

Research output: Journal article publicationJournal articleAcademic researchpeer-review

48 Citations (Scopus)

Abstract

In the present study, we prepared a series of graphene oxide (GO) filled shape memory polyurethane (SMPU) nanofibers and systematically investigated the morphological, thermal and mechanical properties, surface wettability, and the shape memory effect (SME) followed by the proposed programming model. The results show that GO can be well dispersed within the SMPU matrix, and the introduction of GO significantly improves the mechanical strength, surface wettability, and thermal stability of the SMPU. Compared with pristine SMPU nanofibrous mats, the prepared SMPU/GO nanofibrous mats have better SME and lower thermal shrinkage. When the loading amount of GO increased to 4.0 wt%, the thermal shrinkage ratio (Rts) of composite nanofibrous mats could be as low as 4.7 ± 0.3%, while the average fixation ratio (Rf) and recovery ratio (Rr) could be as high as 92.1% and 96.5%, respectively. The study indicates that GO is a desirable reinforcing filler for preparing shape memory nanofibers with improved properties.
Original languageEnglish
Pages (from-to)115-123
Number of pages9
JournalComposites Part A: Applied Science and Manufacturing
Volume76
DOIs
Publication statusPublished - 23 Jun 2015

Keywords

  • A. Polymer-matrix composites (PMCs)
  • B. Mechanical properties
  • E. Electrospinning
  • Shape memory nanofibers

ASJC Scopus subject areas

  • Ceramics and Composites
  • Mechanics of Materials

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