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Dynamic mechanical and creep behaviour of meltspun pvdf nanocomposite fibers

Version 3 2024-06-19, 23:09
Version 2 2024-05-30, 23:44
Version 1 2024-01-04, 04:19
journal contribution
posted on 2024-06-19, 23:09 authored by Fatemeh Mokhtari, GM Spinks, S Sayyar, J Foroughi
Piezoelectric fibers have an important role in wearable technology as energy generators and sensors. A series of hybrid nanocomposite piezoelectric fibers of polyinylidene fluoride (PVDF) loaded with barium–titanium oxide (BT) and reduced graphene oxide (rGO) were prepared via the melt spinning method. Our previous studies show that high-performance fibers with 84% of the electroactive β-phase in the PVDF generated a peak output voltage up to 1.3 V and a power density of 3 W kg−1. Herein, the dynamic mechanical and creep behavior of these fibers were investigated to evaluate their durability and piezoelectric performance. Dynamic mechanical analysis (DMA) was used to provide phenomenological information regarding the viscoelastic properties of the fibers in the longitudinal direction. DSC and SEM were employed to characterize the crystalline structure of the samples. The storage modulus and the loss tangent increased by increasing the frequency over the temperature range (−50 to 150 °C) for all of the fibers. The storage modulus of the PVDF/rGO nanocomposite fibers had a higher value (7.5 GPa) in comparison with other fibers. The creep and creep recovery behavior of the PVDF/nanofillers in the nanocomposite fibers have been explored in the linear viscoelastic region at three different temperatures (10–130 °C). In the PVDF/rGO nanocomposite fibers, strong sheet/matrix interfacial interaction restricted the mobility of the polymer chains, which led to a higher modulus at temperatures 60 and 130 °C.

History

Journal

Nanomaterials

Volume

11

Article number

2153

Pagination

1-13

Location

Basel, Switzerland

ISSN

2079-4991

eISSN

2079-4991

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

8

Publisher

MDPI