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

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Article
en
2020

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

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en
2020
Vol 30 (12)
Vol. 30
DOI: 10.1002/adfm.201910504

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Yury Gogotsi
Yury Gogotsi

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Shayan Seyedin
Simge Uzun
Ariana Levitt
+4 more

Abstract

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 Ti 3 C 2 T x 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.

How to cite this publication

Shayan Seyedin, Simge Uzun, Ariana Levitt, Babak Anasori, Geneviève Dion, Yury Gogotsi, Joselito M. Razal (2020). MXene Composite and Coaxial Fibers with High Stretchability and Conductivity for Wearable Strain Sensing Textiles. , 30(12), DOI: https://doi.org/10.1002/adfm.201910504.

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Publication Details

Type

Article

Year

2020

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

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

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