scholarly journals 3D Anisotropic Conductive Fibers Electrically Stimulated Myogenesis

Author(s):  
Yanping Zhang ◽  
Alice Le Friec ◽  
Menglin Chen
Keyword(s):  
Polymers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1405
Author(s):  
Jina Jang ◽  
Haoyu Zhou ◽  
Jungbae Lee ◽  
Hakgae Kim ◽  
Jung Bin In

Conductive fibers are essential building blocks for implementing various functionalities in a textile platform that is highly conformable to mechanical deformation. In this study, two major techniques were developed to fabricate silver-deposited conductive fibers. First, a droplet-coating method was adopted to coat a nylon fiber with silver nanoparticles (AgNPs) and silver nanowires (AgNWs). While conventional dip coating uses a large ink pool and thus wastes coating materials, droplet-coating uses minimal quantities of silver ink by translating a small ink droplet along the nylon fiber. Secondly, the silver-deposited fiber was annealed by similarly translating a tubular heater along the fiber to induce sintering of the AgNPs and AgNWs. This heat-scanning motion avoids excessive heating and subsequent thermal damage to the nylon fiber. The effects of heat-scanning time and heater power on the fiber conductance were systematically investigated. A conductive fiber with a resistance as low as ~2.8 Ω/cm (0.25 Ω/sq) can be produced. Finally, it was demonstrated that the conductive fibers can be applied in force sensors and flexible interconnectors.


2021 ◽  
Vol 3 (6) ◽  
Author(s):  
Yixin Liu ◽  
Zhen Li ◽  
Yutong Feng ◽  
Juming Yao

AbstractConductive yarn is an important component and connector of electronic and intelligent textiles, and with the development of high-performance and low-cost conductive yarns, it has attracted more attention. Herein, a simple, scalable sizing process was introduced to prepare the graphene-coated conductive cotton yarns. The electron conductive mechanism of fibers and yarns were studied by the percolation and binomial distribution theory, respectively. The conductive paths are formed due to the conductive fibers' contact with each other, and the results revealed that the connection probability of the fibers in the yarn (p) is proportional to the square of the fibers filling coefficient (φ) as p ∝ φ2. The calculation formula of the staple spun yarn resistance can be derived from this conclusion and verified by experiments, which further proves the feasibility of produce conductive cotton yarns by sizing process.


2019 ◽  
Vol 11 (36) ◽  
pp. 33336-33346 ◽  
Author(s):  
Ronghui Wu ◽  
Liyun Ma ◽  
Aniruddha Patil ◽  
Chen Hou ◽  
Shuihong Zhu ◽  
...  

1990 ◽  
Vol 112 (2) ◽  
pp. 207-211 ◽  
Author(s):  
J. W. Baish

This paper presents a three-dimensional analysis of the temperature field around a pair of countercurrent arteries and veins embedded in an infinite tissue that has an arbitrary temperature gradient along the axes of the vessels. Asymptotic methods are used to show that such vessels are thermally similar to a highly conductive fiber in the same tissue. Expressions are developed for the effective radius and thermal conductivity of the fiber so that it conducts heat at the same rate that the artery and vein together convect heat and so that its local temperature equals the mean temperature of the vessels. This result allows vascular tissue to be viewed as a composite of conductive materials with highly conductive fibers replacing the convective effects of the vasculature. By characterizing the size and thermal conductivity of these fibers, well-established methods from the study of composites may be applied to determine when an effective conductive model is appropriate for the tissue and vasculature as a whole.


2018 ◽  
Vol 19 (1) ◽  
pp. 711-717 ◽  
Author(s):  
Young Ju Kim ◽  
Ji Sub Hwang ◽  
Bui Xuan Khuyen ◽  
Bui Son Tung ◽  
Ki Won Kim ◽  
...  

Author(s):  
Kylie Peppler

The recent emergence of digital creativity that extends beyond the screen and into the physical world, engendering new forms of creative production, has transformed educational and professional fields. From AT&T's bio-tracking clothing to Lady Gaga's smart-hydraulic “Living Dress,” e-textiles infuse fashion with electronics to produce unique and aesthetic effects using new conductive materials, including thread, yarn, paint, and fabrics woven from copper, silver, or other highly conductive fibers. This chapter outlines both the educational and societal implications of these new materials in the field of e-textile creation like consumer-ready e-textile toolkits, high-profile displays of imaginative e-textile creations and an increasing body of Do-It-Yourself (DIY) literature on e-textile design that have emerged in the past decade. It also looks at ways in which e-textiles are transforming new solutions to old and persistent problems of underrepresentation of women and minorities in STEM fields and providing a vehicle in which to rethink teaching and learning in these disciplines.


2020 ◽  
Vol 10 (8) ◽  
pp. 2877 ◽  
Author(s):  
Gaeul Kim ◽  
Chi Cuong Vu ◽  
Jooyong Kim

Today, e-textiles have become a fundamental trend in wearable devices. Fabric pressure sensors, as a part of e-textiles, have also received much interest from many researchers all over the world. However, most of the pressure sensors are made of electronic fibers and composed of many layers, including an intermediate layer for sensing the pressure. This paper proposes the model of a single layer pressure sensor with electrodes and conductive fibers intertwined. The plan dimensions of the fabricated sensors are 14 x 14 mm, and the thickness is 0.4 mm. The whole area of the sensor is the pressure-sensitive point. As expected, results demonstrate an electrical resistance change from 283 Ω at the unload pressure to 158 Ω at the load pressure. Besides, sensors have a fast response time (50 ms) and small hysteresis (5.5%). The hysteresis will increase according to the pressure and loading distance, but the change of sensor loading distance is very small. Moreover, the single-layer pressure sensors also show high durability under many working cycles (20,000 cycles) or washing times (50 times). The single-layer pressure sensor is very thin and more flexible than the multi-layer pressure sensor. The structure of this sensor is also expected to bring great benefits to wearable technology in the future.


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