Yuanyuan Gao, Zhenyu Li, Minyu Qiu, Taosif Ahmed, Tingyi Yin, Xiangkun Bo, King Yan Chung, Hong Hu, Hong Fu, Bingang Xu
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引用次数: 0
Abstract
The advancement of wearable electronics, especially smart clothing, is limited by the rigidity and bulkiness of conventional power sources, highlighting the need for sustainable energy solutions. Textile-based triboelectric nanogenerators (T-TENGs) offer a promising approach for harvesting biomechanical energy and enabling self-powered sensing. However, traditional planar or simple 3D T-TENG structures often struggle to adapt efficiently to complex human motions, resulting in reduced electrical output and stability. In this study, we present a mechano-intelligent auxetic triboelectric textile (MIA-TENG) that integrates auxetic structures into the fabric to actively enhance contact and separation dynamics at the triboelectric interface. The MIA-TENG, fabricated from a composite of polydimethylsiloxane (PDMS) and nylon fabric, leverages the negative Poisson’s ratio effect of auxetic structures to enhance output performance with wearing comfort. Experimental results show that the MIA-TENG achieves a peak power output of 3610 mW m−2 and maintains excellent durability and washability, with a stable performance after 10 washing cycles and 60,000 mechanical tests. The device can power portable electronics and is suitable for both large-joint protection and high-fidelity gesture sensing. Combined with machine learning algorithms, the system enables accurate gesture recognition, offering an integrated platform for advanced applications in motion capture, health monitoring, and smart sports.
期刊介绍:
Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al.
Publishing on fiber or fiber-related materials, technology, engineering and application.