Literature DB >> 26900879

Shape Memory Composites Based on Electrospun Poly(vinyl alcohol) Fibers and a Thermoplastic Polyether Block Amide Elastomer.

Anuja Shirole1, Janak Sapkota1, E Johan Foster1, Christoph Weder1.   

Abstract

The present study aimed at developing new thermally responsive shape-memory composites, that were fabricated by compacting mats of electrospun poly(vinyl alcohol) (PVA) fibers and sheets of a thermoplastic polyether block amide elastomer (PEBA). This design was based on the expectation that the combination of the rubber elasticity of the PEBA matrix and the mechanical switching exploitable through the reversible glass transition temperature (Tg) of the PVA filler could be combined to create materials that display shape memory characteristics as an emergent effect. Dynamic mechanical analyses (DMA) show that, upon introduction of 10-20% w/w PVA fibers, the room-temperature storage modulus (E') increased by a factor of 4-5 in comparison to the neat PEBA, and they reveal a stepwise reduction of E' around the Tg of PVA (85 °C). This transition could indeed be utilized to fix a temporary shape and recover the permanent shape. At low strain, the fixity was 66 ± 14% and the recovery was 98 ± 2%. Overall, the data validate a simple and practical strategy for the fabrication of shape memory composites that involves a melt compaction process and employs two commercially available polymers.

Entities:  

Keywords:  composites; electrospinning; poly(vinyl alcohol); shape memory polymer; thermoplastic polyether block amide elastomer

Year:  2016        PMID: 26900879     DOI: 10.1021/acsami.6b00834

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  The Effect of 4-Octyldecyloxybenzoic Acid on Liquid-Crystalline Polyurethane Composites with Triple-Shape Memory and Self-Healing Properties.

Authors:  Jianfeng Ban; Linjiang Zhu; Shaojun Chen; Yiping Wang
Journal:  Materials (Basel)       Date:  2016-09-21       Impact factor: 3.623

Review 2.  Shape-Memory Materials via Electrospinning: A Review.

Authors:  Valentina Salaris; Adrián Leonés; Daniel Lopez; José Maria Kenny; Laura Peponi
Journal:  Polymers (Basel)       Date:  2022-02-28       Impact factor: 4.329

  2 in total

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