University of Wollongong
Browse

Knitted strain sensor textiles of highly conductive all-polymeric fibers

journal contribution
posted on 2024-11-16, 09:41 authored by Shayan Seyedin, Joselito Razal, Peter InnisPeter Innis, Mohammadali Jeiranikhameneh, Stephen Beirne, Gordon WallaceGordon Wallace
A scaled-up fiber wet-spinning production of electrically conductive and highly stretchable PU/PEDOT:PSS fibers is demonstrated for the first time. The PU/PEDOT:PSS fibers possess the mechanical properties appropriate for knitting various textile structures. The knitted textiles exhibit strain sensing properties that were dependent upon the number of PU/PEDOT:PSS fibers used in knitting. The knitted textiles show sensitivity (as measured by the gauge factor) that increases with the number of PU/PEDOT:PSS fibers deployed. A highly stable sensor response was observed when four PU/PEDOT:PSS fibers were co-knitted with a commercial Spandex yarn. The knitted textile sensor can distinguish different magnitudes of applied strain with cyclically repeatable sensor responses at applied strains of up to 160%. When used in conjunction with a commercial wireless transmitter, the knitted textile responded well to the magnitude of bending deformations, demonstrating potential for remote strain sensing applications. The feasibility of an all-polymeric knitted textile wearable strain sensor was demonstrated in a knee sleeve prototype with application in personal training and rehabilitation following injury.

Funding

ARC Centre of Excellence for Electromaterials Science

Australian Research Council

Find out more...

New dimensions in organic bionics

Australian Research Council

Find out more...

History

Citation

Seyedin, S., Razal, J. M., Innis, P. C., Jeiranikhameneh, A., Beirne, S. & Wallace, G. G. (2015). Knitted strain sensor textiles of highly conductive all-polymeric fibers. ACS Applied Materials and Interfaces, 7 (38), 21150-21158.

Journal title

ACS Applied Materials and Interfaces

Volume

7

Issue

38

Pagination

21150-21158

Language

English

RIS ID

103317

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC