Facile fabrication of a fast-response flexible temperature sensor via laser reduced graphene oxide for contactless human-machine interface

被引:69
|
作者
Chen, Rui [1 ]
Luo, Tao [1 ]
Geng, Da [1 ]
Shen, Zheng [2 ]
Zhou, Wei [1 ]
机构
[1] Xiamen Univ, Dept Mech & Elect Engn, Xiamen 361101, Peoples R China
[2] CRRC Zhuzhou Elect Co Ltd, Zhuzhou 412000, Peoples R China
基金
中国国家自然科学基金;
关键词
Flexible temperature sensor; Laser reduced graphene oxide; Proximity monitoring; Human-machine interface; PERFORMANCE; REDUCTION; COMPOSITE; FILMS;
D O I
10.1016/j.carbon.2021.10.064
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Temperature sensors are indispensable in healthcare, human-machine interface, robotics, and other areas. However, facile and rapid fabrication of flexible temperature sensors with good performance are still required. In this work, a fast-response flexible temperature sensors is fabricated in a facile manner on the basis of laser-reduced graphene oxide(GO) for contactless human-machine interface. The combined effects of the GO concentration and scan line spacing of the laser on the sensitivity of the temperature sensor are investigated systematically. The intrinsic correlation among the two critical process parameters, material properties, and sensor sensitivity is revealed. Results show that the temperature sensor achieves the highest sensitivity of 0.37% degrees C-1 when the GO concentration is 4 mg/mL and the scan line spacing is 0.12 mm. The temperature sensors fabricated using the optimized process parameter also have a fast response time, good linearity, small hysteresis, good repeatability, and stable performance, and are successfully used to monitor human breathing, blowing, and spatiotemporal temperature variation of a curved surface. The sensors can also detect finger proximity. In addition, a 3 x 3 flexible temperature sensor array is fabricated for contactless unlocking of a code lock. The fabricated array reveals the great potential of the sensors developed in this study for contactless human-machine interface. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:35 / 46
页数:12
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