Paper
28 February 2024 Research on fabrication method of fabric sensor based on laser induced graphene
Chonghao Yuan, Rongrong Shan, Jia Wang, Yi Fan, Yuqin Gao, Fan Lu
Author Affiliations +
Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130710O (2024) https://doi.org/10.1117/12.3025661
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
At present, how to manufacture lightweight and flexible wearable sensors suitable for human body has become an important scientific and technological problem. However, most of the existing manufacturing methods of portable flexible wearable sensors have the problems of complex manufacturing process and low design freedom. The laser induced graphene technology with high efficiency and customizable advantages is conducive to solving these problems. In this paper, the effects of flame retardants and fabric substrates on the properties of graphene were studied. The effects of sodium tetraborate and ammonium polyphosphate on the structural stability of fabric graphene were compared, and the effects of flame retardant concentration on the properties of graphene were analyzed. Ammonium polyphosphate solution with a concentration of 0.45 g/ml was selected as the flame retardant. The laser induced graphene fabrics prepared by different fabrics were compared and analyzed. Choose 120 cotton fabric as the substrate. Secondly, the effects of laser processing parameters on the properties of graphene were analyzed. Different combinations of laser power and scanning speed were used to analyze the mechanical and electrical properties of the prepared graphene. Determine that the laser power used is 3 W and the scanning speed is 125 mm/s. Finally, the feasibility of fabric graphene structure monitoring human ECG signal is demonstrated by comparing commercial ECG signal detection instruments. The manufacturing method of lightweight flexible fabric sensor based on laser-induced graphene has the characteristics of high efficiency and easy customization, which is expected to realize multi-modal monitoring of human health information, and has application prospects in medical health, human-computer interaction and other fields.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chonghao Yuan, Rongrong Shan, Jia Wang, Yi Fan, Yuqin Gao, and Fan Lu "Research on fabrication method of fabric sensor based on laser induced graphene", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130710O (28 February 2024); https://doi.org/10.1117/12.3025661
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KEYWORDS
Graphene

Sensors

Resistance

Manufacturing

Electrical properties

Wearable devices

Flame

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