@article{chen_hua_ling_liu_chen_ju_gao_mills_tao_yin_2023, title={An airflow-driven system for scalable production of nano-microfiber wrapped triboelectric yarns for wearable applications}, volume={477}, ISSN={["1873-3212"]}, url={https://doi.org/10.1016/j.cej.2023.147026}, DOI={10.1016/j.cej.2023.147026}, journal={CHEMICAL ENGINEERING JOURNAL}, author={Chen, Yu and Hua, Jie and Ling, Yali and Liu, Yang and Chen, Mingtai and Ju, Beomjun and Gao, Wei and Mills, Amanda and Tao, Xiaoming and Yin, Rong}, year={2023}, month={Dec} }
 @misc{chen_ling_yin_2022, title={Fiber/Yarn-Based Triboelectric Nanogenerators (TENGs): Fabrication Strategy, Structure, and Application}, volume={22}, ISSN={["1424-8220"]}, url={https://doi.org/10.3390/s22249716}, DOI={10.3390/s22249716}, abstractNote={With the demand of a sustainable, wearable, environmentally friendly energy source, triboelectric nanogenerators (TENGs) were developed. TENG is a promising method to convert mechanical energy from motion into electrical energy. The combination of textile and TENG successfully enables wearable, self-driving electronics and sensor systems. As the primary unit of textiles, fiber and yarn become the focus of research in designing of textile-TENGs. In this review, we introduced the preparation, structure, and design strategy of fiber/yarn TENGs in recent research. We discussed the structure design and material selection of fiber/yarn TENGs according to the different functions it realizes. The fabrication strategy of fiber/yarn TENGs into textile-TENG are provided. Finally, we summarize the main applications of existing textile TENGs and give forward prospects for their subsequent development.}, number={24}, journal={SENSORS}, author={Chen, Yu and Ling, Yali and Yin, Rong}, year={2022}, month={Dec} }
 @article{chen_chen_wang_ling_fisher_li_hart_mu_gao_tao_et al._2022, title={Flexible, durable, and washable triboelectric yarn and embroidery for self-powered sensing and human-machine interaction}, volume={104}, ISSN={["2211-3282"]}, url={http://dx.doi.org/10.1016/j.nanoen.2022.107929}, DOI={10.1016/j.nanoen.2022.107929}, abstractNote={The novel combination of textiles and triboelectric nanogenerators (TENGs) successfully achieves self-powered wearable electronics and sensors. However, the fabrication of Textile-based TENGs remains a great challenge due to complex fabrication processes, low production speed, high cost, poor electromechanical properties, and limited design capacities. Here, we reported a new route to develop Textile-based TENGs with a facile, low-cost, and scalable embroidery technique. 5-ply ultrathin enameled copper wires, low-cost commercial materials, were utilized as embroidery materials with dual functions of triboelectric layers and electrodes in the Textile-based TENGs. A single enameled copper wire with a diameter of 0.1 mm and a length of 30 cm can produce over 60 V of open-circuit voltage and 0.45 µA of short circuit current when in contact with polytetrafluoroethylene (PTFE) fabric at the frequency of 1.2 Hz and the peak value of contact force of 70 N. Moreover, the triboelectric performance of enameled copper wire after plasma treatment can be better than that without plasma treatment, such as the maximum instantaneous power density can reach 245 μW/m which is ∼ 1.5 times as much as the untreated wire. These novel embroidery TENGs possess outstanding triboelectric performance and super design capacities. A 5 × 5 cm2 embroidery sample can generate an open-circuit voltage of 300 V and a short circuit current of 8 μA under similar contact conditions. The wearable triboelectric embroidery can be employed in different parts of the wear. A self-powered, fully fabric-based numeric keypad was designed based on triboelectric embroidery to serve as a human-machine interface, showing good energy harvesting and signal collection capabilities. Therefore, this study opens a new generic design paradigm for textile-based TENGs that are applicable for next-generation smart wearable devices.}, journal={NANO ENERGY}, publisher={Elsevier BV}, author={Chen, Yu and Chen, Erdong and Wang, Zihao and Ling, Yali and Fisher, Rosie and Li, Mengjiao and Hart, Jacob and Mu, Weilei and Gao, Wei and Tao, Xiaoming and et al.}, year={2022}, month={Dec} }