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MXene Composite and Coaxial Fibers with High Stretchability and Conductivity for Wearable Strain Sensing Textiles

Lookup NU author(s): Dr Shayan SeyedinORCiD

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by Wiley, 2020.

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Abstract

The integration of nanomaterials with high conductivity into stretchable polymer fibers can achieve novel functionalities such as sensing physical deformations. With a metallic conductivity that exceeds other solution‐processed nanomaterials, 2D titanium carbide MXene is an attractive material to produce conducting and stretchable fibers. Here, a scalable wet‐spinning technique is used to produce Ti3C2Tx MXene/polyurethane (PU) composite fibers that show both conductivity and high stretchability. The conductivity at a very low percolation threshold of ≈1 wt% is demonstrated, which is lower than the previously reported values for MXene‐based polymer composites. When used as a strain sensor, the MXene/PU composite fibers show a high gauge factor of ≈12900 (≈238 at 50% strain) and a large sensing strain of ≈152%. The cyclic strain sensing performance is further improved by producing fibers with MXene/PU sheath and pure PU core using a coaxial wet‐spinning process. Using a commercial‐scale knitting machine, MXene/PU fibers are knitted into a one‐piece elbow sleeve, which can track various movements of the wearer's elbow. This study establishes fundamental insights into the behavior of MXene in elastomeric composites and presents strategies to achieve MXene‐based fibers and textiles with strain sensing properties suitable for applications in health, sports, and entertainment.


Publication metadata

Author(s): Seyedin S, Uzun S, Levitt A, Anasori B, Dion G, Gogotsi Y, Razal JM

Publication type: Article

Publication status: Published

Journal: Advanced Functional Materials

Year: 2020

Volume: 30

Issue: 12

Print publication date: 17/03/2020

Online publication date: 07/02/2020

Acceptance date: 15/01/2020

Date deposited: 08/07/2020

ISSN (print): 1616-301X

ISSN (electronic): 1616-3028

Publisher: Wiley

URL: https://doi.org/10.1002/adfm.201910504

DOI: 10.1002/adfm.201910504


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