Versatile Core–Sheath Yarn for Sustainable Biomechanical Energy Harvesting and Real‐Time Human‐Interactive Sensing

By Kai Dong, Jianan Deng, Wenbo Ding, A. Wang, Peihong Wang, Chaoyu Cheng, Yi-Cheng Wang, Limin Jin, B. Gu, Baozhong Sun and 1 more. Advanced Energy Materials, 2018

250 citations recorded by the source corpus.

The emergence of stretchable textile‐based mechanical energy harvester and self‐powered active sensor brings a new life for wearable functional electronics. However, single energy conversion mode and weak sensing capabilities have largely hindered their development. Here, in virtue of silver‐coated nylon yarn and silicone rubber elastomer, a highly stretchable yarn‐based triboelectric nanogenerator (TENG) with coaxial core–sheath and built‐in spring‐like spiral winding structures is designed for biomechanical energy harvesting and real‐time human‐interactive sensing. Based on the two advanced structural designs, the yarn‐based TENG can effectively harvest or respond rapidly to omnifarious external mechanical stimuli, such as compressing, stretching, bending, and twisting. With these excellent performances, the yarn‐based TENG can be used in a self‐counting skipping rope, a self‐powered gesture‐recognizing glove, and a real‐time golf scoring system. Furthermore, the yarn‐based TENG can also be woven into a large‐area energy‐harvesting fabric, which is capable of lighting up light emitting diodes (LEDs), charging a commercial capacitor, powering a smart watch, and integrating the four operational modes of TENGs together. This work provides a new direction for textile‐based multimode mechanical energy harvesters and highly sensitive self‐powered motion sensors with potential applications in sustainable power supplies, self‐powered wearable electronics, personalized motion/health monitoring, and real‐time human‐machine interactions.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/d4997c75b7a3165478db7b75735563cb179f050a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Chengkuo Lee
2. Tianyiyi He
3. Zixuan Zhang
4. Zhongda Sun
5. Qiongfeng Shi
6. Bowei Dong
7. Jianxiong Zhu
8. Xinge Guo

In Cognitive Neuroscience

1. Chengkuo Lee
2. Tianyiyi He
3. Zixuan Zhang
4. Qiongfeng Shi
5. Jianxiong Zhu
6. Bowei Dong
7. Zhongda Sun
8. Xinge Guo

In Polymers and Plastics

1. Chengkuo Lee
2. Tianyiyi He
3. Zixuan Zhang
4. Qiongfeng Shi
5. Zhongda Sun
6. Jianxiong Zhu
7. Bowei Dong
8. Xinge Guo

Citations in the corpus

• Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things (2020, methodology): “Besides, a highly stretchable yarn-based TENG with coaxial core-sheath and built-in spiral winding structures is proposed and shown in Figure 8C. 267 Thanks to its special structural design, this TENG sensor has a higher sensitivity and faster response time compared with previous triboelectric…”
• Design, manufacturing and applications of wearable triboelectric nanogenerators (2021, unknown): “Usually researchers adopt stretchable structural designs to metals [62,63], dope the polymer [64], or combine them together to achieve better effect.”