Toggle Main Menu Toggle Search

Open Access padlockePrints

Continuous Production of Stretchable Conductive Multifilaments in Kilometer Scale Enables Facile Knitting of Wearable Strain Sensing Textiles

Lookup NU author(s): Dr Shayan SeyedinORCiD


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


A facile large scale production of conductive and elastomeric fibers can enable the fabrication of functional fabrics for diverse applications including sensing for wearable and industrial textiles. Strain sensing textiles are gaining particular attention because of their increasing relevance in the development of smart devices for health, sports, and soft robotics. Current approaches to make sensing textiles rely on mounting a sensor or coating a sensing material onto existing fabrics. Here, we demonstrate the production of conductive elastomeric multifilaments in kilometer scale, which enables the facile knitting of textile prototypes that can detect large strains (up to 200%) with high stability (up to 500 cyclic stretching). Five different knit prototypes are fabricated to demonstrate that strain sensing behavior can be tailored using simple alterations in the loop configurations and stitch insertions in the knit structures. Strain sensing textiles that can be worn directly on various body parts (i.e. knee, elbow, and finger) without the need for any supporting structures or frames and can monitor diverse movements such as bending and kicking are demonstrated. This work provides scalable approaches for the fabrication of conductive elastomeric fibers and textiles that can be used for a wide range of sensing applications.

Publication metadata

Author(s): Seyedin S, Moradi S, Singh C, Razal JM

Publication type: Article

Publication status: Published

Journal: Applied Materials Today

Year: 2018

Volume: 11

Pages: 255–263

Print publication date: 01/06/2018

Online publication date: 15/03/2018

Acceptance date: 28/02/2018

ISSN (print): 2352-9407

Publisher: Elsevier


DOI: 10.1016/j.apmt.2018.02.012


Altmetrics provided by Altmetric