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Wearable Electronic Textiles from Nanostructured Piezoelectric Fibers
Advanced Materials Technologies ( IF 6.8 ) Pub Date : 2020-02-16 , DOI: 10.1002/admt.201900900
Fatemeh Mokhtari 1 , Geoffrey M. Spinks 1 , Cormac Fay 1, 2 , Zhenxiang Cheng 3 , Raad Raad 4 , Jiangtao Xi 4 , Javad Foroughi 1, 4
Affiliation  

Wearable energy harvesting is of practical interest for many years and for diverse applications, including development of self‐powered wireless sensors within garments for human health monitoring. Herein, a novel approach is reported to create wearable energy generators and sensors using nanostructured hybrid piezoelectric fibers and exploiting the enormous variety of textile architectures. It is found that high performance hybrid piezofiber is obtained using a barium titanate (BT) nanoparticle and poly(vinylidene fluoride) (PVDF) with a mass ratio of 1:10. These fibers are knitted to form a wearable energy generator that produced a maximum voltage output of 4 V and a power density 87 μW cm−3 which is 45 times higher than earlier reported for piezoelectric textiles. The wearable energy generator charged a 10 μF capacitor in 20 s which is four and six times faster than previously reported for PVDF/BT and PVDF energy generators, respectively. It also emerges that the established knitted energy harvester exhibits sensitivity of 6.3 times higher in compare with the piezofibers energy generator. A knee sleeve prototype based on a PVDF/BT wearable device for monitoring real‐time precise healthcare is demonstrated. The developed processing method is scalable for the fabrication of industrial quantities of smart textiles.

中文翻译:

纳米压电纤维的可穿戴电子纺织品

多年以来,可穿戴式能量采集在各种应用中都受到实际关注,包括在服装中开发用于人体健康监测的自供电无线传感器。在本文中,报道了一种新颖的方法来使用纳米结构的混合压电纤维创建可穿戴式能量发生器和传感器,并利用多种纺织结构。发现使用钛酸钡(BT)纳米颗粒和聚偏二氟乙烯(PVDF)的质量比为1:10可获得高性能混合压电纤维。编织这些纤维以形成可穿戴的能量产生器,该能量产生器产生的最大电压输出为4 V,功率密度为87μWcm -3这比早期报道的压电纺织品高45倍。可穿戴式能量发生器在20 s内为10μF电容器充电,这分别比之前报道的PVDF / BT和PVDF能量发生器快四倍和六倍。还显示出,与压电纤维能量发生器相比,已建立的针织能量收集器显示出6.3倍的灵敏度。演示了一种基于PVDF / BT可穿戴设备的护膝原型,用于监控实时精确医疗保健。所开发的处理方法可扩展用于制造工业数量的智能纺织品。
更新日期:2020-02-16
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