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A preliminary study of polymer optical fiber’s knittability for smart wear applications

Rafiu King Raji (Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices, Huizhou University, Huizhou, China)
Ning Li (Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices, Huizhou University, Huizhou, China)
Guiqiang Diao (School of Chemistry and Materials Engineering, Huizhou University, Huizhou, China)
Qin Luo (Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices, Huizhou University, Huizhou, China)
Hai Jin Liu (Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices, Huizhou University, Huizhou, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 26 July 2024

Issue publication date: 5 August 2024

49

Abstract

Purpose

The purpose of this research is to ascertain the feasibility of fabricating polymer optical fibers (POFs) based textile structures by knitting with Polymethylmethacrylate (PMMA) based optical fibers for textile sensor application. It has long been established that by using the principles of physics, POFs have the capability to function as sensors, detecting strain, temperature and other variables. However, POF applications such as strain and pressure sensing using knitting techniques has since not been very successful due to a number of reasons. Commercially available PMMA-based optical fibers tend to be fragile and susceptible to breakages when subjected to stress during the knitting processes. Also light transmitted within these fibers is prone to leakage due to the curvature that results when optical fibers are interlaced or interlooped within fabric structures.

Design/methodology/approach

Using Stoll’s multi-gauge CMS 350 HP knitting machine, five fabric structures namely, 1 × 4 float knit structure, tunnel inlay knit structure, 3:1 fleece fabric and 2:1 fleece fabric structure respectively were used to knit sensor samples. The samples were subsequently tested for length of illumination and sensitivity relative to applied pressure.

Findings

The results of this preliminary study establish that embedding plastic optical fibers into a knitted structure during the fabric formation process for soft strain sensor application possible. The best illumination performance was recorded for tunnel inlay structure which had an average of 94 cm course length of POF being illuminated. Sensor sensitivity experiments also establish that the relative spectral intensity of the fiber is sensitive to both light and pressure. Problems encountered and recommendations for further research have also been discussed and proffered.

Research limitations/implications

Due to resource limitations, an innovative technique (use of precision weight set) was used to apply pressure to the sensors. Consequently, information regarding the extent of corresponding sensor deformation has not been used in this initial analysis.

Practical implications

Because the fundamental step toward finding a solution to any engineering problem is the acquisition of reliable data, and considering the fact that most of the popular technologies used for soft textile sensors are still bedeviled with the problem of signal instability and noise, the success of this application thus has the tendency to promote the wide spread adoption of POF sensors for smart apparel applications.

Originality/value

As far as research on soft strain sensors is concerned, to the best of the authors’ knowledge, this is the first study to have attempted to knit deformable sensors using commercially available POFs.

Keywords

Acknowledgements

Huizhou University’s New Professors and Ph.D. Researcher’s Project Startup Funding.

Conflict of interest: The authors declare no conflict of interest situation.

Citation

Raji, R.K., Li, N., Diao, G., Luo, Q. and Liu, H.J. (2024), "A preliminary study of polymer optical fiber’s knittability for smart wear applications", Sensor Review, Vol. 44 No. 5, pp. 611-618. https://doi.org/10.1108/SR-04-2024-0313

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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