Ultra-low cost and high-performance paper-based flexible pressure sensor for artificial intelligent E-skin

被引:1
|
作者
Chen, Yugang [1 ,2 ]
Wang, Shasha [1 ,2 ]
Liu, Yiren [1 ,2 ]
Deng, Huichan [1 ,2 ]
Gao, Huan [1 ,2 ]
Cao, Mengyu [1 ,2 ]
Zhang, Chong [1 ,2 ]
Cheng, Xiaogang [3 ]
Xie, Linghai [1 ,2 ,4 ,5 ]
机构
[1] Nanjing Univ Posts & Telecommun, Ctr Mol Syst & Organ Devices CMSOD, State Key Lab Organ Elect & Informat Displays, 9 Wenyuan Rd, Nanjing 210023, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Inst Adv Mat IAM, 9 Wenyuan Rd, Nanjing 210023, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, 66 Xinmofan Rd, Nanjing 210003, Peoples R China
[4] Henan Univ, Sch Flexible Elect SoFE, 379 Mingli Rd, Zhengzhou 450046, Peoples R China
[5] Henan Univ, Henan Inst Flexible Elect HIFE, 379 Mingli Rd, Zhengzhou 450046, Peoples R China
基金
中国国家自然科学基金;
关键词
All-paper-based device; Flexible pressure sensor; Water-soluble graphite; Carbon interdigital electrodes; 2D convolutional neural network; Portable wireless wearable device;
D O I
10.1016/j.cej.2024.156293
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
E-skin driven by artificial intelligence algorithms enables the innovation of future technologies such as IoT, intelligent manufacturing, health monitoring and human-machine interfaces for VR/AR. Although many flexible pressure sensors have been reported, the development of sensors that combine low-cost and high performance remains a huge challenge. Herein, we propose an all-paper-based pressure sensor with water-soluble graphite functional layer and carbon interdigital electrodes obtained by friction coating and screen printing, respectively. The sensor boasts a rectangular design measuring 1 cm x 2.15 cm, with a remarkably thin profile of only 71 mu m and an ultra-light weight of 6 mg, and the cost of a single sensor is extremely low. Specifically, the sensor achieved a lower detection limit of 0.98 Pa and an upper detection limit of 2000 kPa, which represents a new benchmark among paper-based pressure sensors. It demonstrated high sensitivity across various pressure ranges: 319.94 kPa(-1) (0-1 kPa), 97.63 kPa(-1) (1-40 kPa), 18.75 kPa(-1) (40-200 kPa), and 2.72 kPa(-1) (200-2000 kPa). The sensor also exhibited a rapid response and recovery time of 8 ms and 9 ms, respectively, along with excellent durability (>20,000 fatigue tests, 10,000 cycles at 2 kPa and 10,000 cycles at 100 kPa) and high pressure stability. Furthermore, the eco-friendly sensor can identify eight surface textures with a recognition accuracy of 98.33% after training with a 2D convolutional neural network (2D CNN). Finally, a portable wireless wearable device with dimensions of 38 mm x 26 mm x 14 mm and a weight of only 11.265 g has been developed for pressure recognition, breathing, pulse, and heartbeat detection.
引用
收藏
页数:11
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