Back to Search Start Over

MXene Functionalized Kevlar Yarn via Automated, Continuous Dip Coating.

Authors :
Bi, Lingyi
Perry, William
Wang, Ruocun
Lord, Robert
Hryhorchuk, Tetiana
Inman, Alex
Gogotsi, Oleksiy
Balitskiy, Vitaliy
Zahorodna, Veronika
Baginskiy, Ivan
Vorotilo, Stepan
Gogotsi, Yury
Source :
Advanced Functional Materials. 4/3/2024, Vol. 34 Issue 14, p1-11. 11p.
Publication Year :
2024

Abstract

The rise of the Internet of Things has spurred extensive research on integrating conductive materials into textiles to turn them into sensors, antennas, energy storage devices, and heaters. MXenes, owing to their high electrical conductivity and solution processability, offer an efficient way to add conductivity and electronic functions to textiles through simple dip coating. However, manual development of MXene‐coated textiles restricts their quality, quantity, and variety. Here, a versatile automated yarn dip coater tailored for producing continuously high‐quality MXene‐coated yarns and conducted the most comprehensive MXene‐yarn dip coating study to date is developed. Compared to manual methods, the automated coater provides lower resistance, superior uniformity, faster speed, and reduced MXene consumption. It also enables rapid coating parameter optimization, resulting in a thin Ti3C2 coating uniform over a 1 km length on a braided Kevlar yarn while preserving its excellent mechanical properties (over 800 MPa) and adding Joule heating and damage sensing to composites reinforced by the yarns. By dip‐coating five different yarns of varying materials, diameters, structures, and chemistries, new insights into MXene‐yarn interactions are gained. Thus, the automated dip coating presents ample opportunities for scalable integration of MXenes into a wide range of yarns for diverse functions and applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1616301X
Volume :
34
Issue :
14
Database :
Academic Search Index
Journal :
Advanced Functional Materials
Publication Type :
Academic Journal
Accession number :
176410036
Full Text :
https://doi.org/10.1002/adfm.202312434