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基于同轴3D打印的耐热全柔性传感器的定制制备

Customized Preparation of Heat-Resistant Fully Flexible Sensors Based on Coaxial 3D Printing.

作者信息

Dong Haoran, Kong Qi, Jiang Saihua, Cheng Jiaqi, Zhang Qi, Zhou Gang, Zeng Tao

机构信息

Institute of Safety Science and Engineering, School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, P. R. China.

Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, Guangzhou 510641, P. R. China.

出版信息

ACS Appl Mater Interfaces. 2024 Nov 6;16(44):60666-60677. doi: 10.1021/acsami.4c13737. Epub 2024 Oct 25.

DOI:10.1021/acsami.4c13737
PMID:39455904
Abstract

The conventional behavior recognition strategy for wearable sensors used in high-temperature environments typically requires an external power supply, and the manufacturing process is cumbersome. Herein, we present a rational design strategy based on fully flexible printable materials and a customized device-manufacturing process for skin-conformable triboelectric nanogenerator sensors. In detail, using high temperature-resistant ink and 3D printing technology to manufacture a coaxial triboelectric nanogenerator (C-TENG) sensor, the C-TENG exhibits high stretchability (>400%), a wide working range (>250 °C), and high output voltage (>100 V). The C-TENG can be worn on various parts of the human body, providing a robust skin-device interface that recognizes diverse human behaviors. Using machine learning algorithms, behaviors such as walking, running, sitting, squatting, climbing stairs, and falling can be identified, achieving 100% behavior recognition accuracy through the selective input and optimization of an appropriate dataset. This paper provides a research perspective for the customization, extension, and rapid fabrication of heat-resistant, fully flexible TENGs.

摘要

用于高温环境的可穿戴传感器的传统行为识别策略通常需要外部电源,并且制造过程繁琐。在此,我们提出了一种基于完全柔性可印刷材料和定制设备制造工艺的合理设计策略,用于贴合皮肤的摩擦纳米发电机传感器。具体而言,使用耐高温墨水和3D打印技术制造同轴摩擦纳米发电机(C-TENG)传感器,该C-TENG具有高拉伸性(>400%)、宽工作范围(>250°C)和高输出电压(>100V)。C-TENG可以佩戴在人体的各个部位,提供一个强大的皮肤-设备界面,以识别各种人类行为。使用机器学习算法,可以识别诸如行走、跑步、坐着、蹲下、爬楼梯和跌倒等行为,通过选择性输入和优化适当的数据集,实现100%的行为识别准确率。本文为耐高温、完全柔性摩擦纳米发电机的定制、扩展和快速制造提供了一个研究视角。

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