Continuous manufacture of stretchable and integratable thermoelectric nanofiber yarn for human body energy harvesting and self-powered motion detection

材料科学 能量收集 热电效应 纱线 纺纱 静电纺丝 可穿戴计算机 佩多:嘘 纳米纤维 热电发电机 可穿戴技术 制作 数码产品 机械工程 纳米技术 能量(信号处理) 复合材料 电气工程 计算机科学 聚合物 图层(电子) 工程类 病理 医学 统计 数学 替代医学 嵌入式系统 热力学 物理
作者
Xinyang He,Jiatai Gu,Yunna Hao,Maorong Zheng,Liming Wang,Jianyong Yu,Xiaohong Qin
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:450: 137937-137937 被引量:146
标识
DOI:10.1016/j.cej.2022.137937
摘要

Thermoelectric conversion technology provides a new method for directly collecting and converting the heat released by the human body to electrical energy, which has attracted extensive attention in the field of smart wearable electronics. However, current thermoelectric materials for wearable thermoelectric devices often face problems such as air impermeability, large volume, poor integration, and limited stretchability. Herein, an advanced fabrication approach combining coagulation-bath electrospinning and self-assembly strategies is proposed to efficiently and continuously fabricate CNT/PEDOT:PSS thermoelectric nanofiber yarns with high stretchability (∼350%) and seamability. During the spinning process, the nonsolvent induced phase separation and self-assembly effect result in a large amount of CNT/PEDOT:PSS loaded on each individual nanofiber. Since the thermoelectric material is loaded inside the yarn rather than simply coated on the surface, it exhibits excellent mechanical stability. In addition, based on the thermoelectric effect and seamability of the yarns, they can be integrated into gloves and masks for cold/heat source identification and human respiration monitoring in self-powered mode. Moreover, the self-powered strain sensor composed of the yarn shows corresponding thermovoltage changes for different strains, which can be used to optimize basketball players’ shooting percentage. These unique features make the thermoelectric nanofiber yarn show broad prospects in smart wearable fields such as wearable generators, breathing monitoring, and exercise optimization.
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