The Application of Polymers on Multifunctional Electronic Textiles

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Fibers".

Deadline for manuscript submissions: 25 July 2024 | Viewed by 1085

Special Issue Editor


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Guest Editor
Key Laboratory of Science and Technology of Eco-Textile, Ministry of Education, Jiangnan University, Wuxi, China
Interests: electronic textile; fiber; energy storage; supercapacitor; electrode

Special Issue Information

Dear Colleagues,

Electronic textiles are poised to revolutionize future wearable applications due to their wearing comfort and programmable nature. Electronic textiles with almost all desired functionalities, such as energy harvesting, energy storage, sensing, communicating, actuating, and display, have been realized with remarkably improved performance over the past decade.

Currently, researchers are still committed to developing inexpensively produced processes on a large scale, while maintaining high-quality multifunctional electronic textiles. Electrochemically active substances given to ordinary fabrics using post-finishing technologies can be used to prepare electronic textiles, e.g., via dip coating, chemical polymerization, vapor deposition, inkjet printing, extraction, etc. Integrated devices can also be fabricated by connecting multiple fiber-based components or embedding them into textiles through knitting, weaving, embroidery, or other methods. To address intricate connection and electrical compatibility challenges, better processing accuracy and effective layout design are required. Another strategy to design fiber electronics involves building electronic functions inside the fiber. This strategy is, in principle, more flexible as more functions can be integrated that way. Recent developments in polymer materials have further endowed fibers and textiles with various electronic functions.

This Special Issue aims to highlight recent advances surrounding the application of polymers on multifunctional electronic textiles. A discussion of the design, fabrication, assembly, and manufacturing of multifunction electronic textiles to meet electronic performance, practical considerations, and commercialization demands is also welcome. 

Dr. Man Zhou
Guest Editor

Manuscript Submission Information

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Keywords

  • polymer fiber based electronic textiles
  • conductive polymers for smart textile
  • conductive hydrogel electrodes for textile electronics
  • conductive hydrogel electrolytes for e-textiles
  • semiconducting polymer for textile electronics
  • polymer interface for e-textiles

Published Papers (1 paper)

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Research

15 pages, 9790 KiB  
Article
Prediction of Electrical Resistance with Conductive Sewing Patterns by Combining Artificial Neural Networks and Multiple Linear Regressions
by JunHyeok Jang and JooYong Kim
Polymers 2023, 15(20), 4138; https://doi.org/10.3390/polym15204138 - 18 Oct 2023
Viewed by 696
Abstract
This study aims to estimate the impact of sewing thread patterns on changes in the resistance of conductive yarns coated with silver paste. Firstly, the structure of the conductive yarns was examined, and various variations in the length and angle of individual sewing [...] Read more.
This study aims to estimate the impact of sewing thread patterns on changes in the resistance of conductive yarns coated with silver paste. Firstly, the structure of the conductive yarns was examined, and various variations in the length and angle of individual sewing stitches were observed and analyzed through experiments. The results revealed that as the length of an individual stitch decreased, the width of the conductive yarn increased. Additionally, variations in the stitch angle resulted in different resistance values in the conductive yarn. These findings provide essential information for optimizing sewing patterns and designing components. Secondly, the comparison between models using multiple linear regression analysis and sewing neural networks was included to show optimized resistance prediction. The multiple linear regression analysis indicated that the stitch length and angle were significant variables affecting the resistance of the conductive thread. The artificial neural network model results can be valuable for optimizing sewing patterns and controlling resistance in various applications that utilize conductive thread. In addition, understanding the resistance variation in conductive thread according to sewing patterns and using optimized models to enhance component performance provides opportunities for innovation and progress. This research is necessary for the textile industry and materials engineering fields and holds high potential for practical applications in industrial settings. Full article
(This article belongs to the Special Issue The Application of Polymers on Multifunctional Electronic Textiles)
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