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High sensitive pressure sensors based on multiple coating technique |
Rizwan Zahoor, Chang Liu(刘畅), Muhammad Rizwan Anwar, Fu-Yan Lin(林付艳), An-Qi Hu(胡安琪), Xia Guo(郭霞) |
School of Electronic Engineering, State Key Laboratory for Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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Abstract A multi-coating technique of reduced graphene oxide (RGO) was proposed to increase the sensitivity of paper-based pressure sensors. The maximum sensitivity of 17.6 kPa-1 under the 1.4 kPa was achieved. The electrical sensing mechanism is attributed to the percolation effect. Such paper pressure sensors were applied to monitor the motor vibration, which indicates the potential of mechanical flaw detection by analyzing the waveform difference.
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Received: 12 November 2019
Revised: 27 November 2019
Accepted manuscript online:
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PACS:
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81.05.ue
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(Graphene)
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07.07.Df
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(Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing)
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75.75.-c
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(Magnetic properties of nanostructures)
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Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2016YFB0400603) and the National Natural Science Foundation of China (Grant No. 61804012). |
Corresponding Authors:
Xia Guo
E-mail: guox@bupt.edu.cn
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Cite this article:
Rizwan Zahoor, Chang Liu(刘畅), Muhammad Rizwan Anwar, Fu-Yan Lin(林付艳), An-Qi Hu(胡安琪), Xia Guo(郭霞) High sensitive pressure sensors based on multiple coating technique 2020 Chin. Phys. B 29 028102
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[1] |
Trung T Q and Lee N E 2016 Adv. Mater. 28 4338
|
[2] |
Cheng Y, Wang R R, Sun J and Gao L 2015 Adv. Mater. 27 7365
|
[3] |
Cai G F, Wang J X, Qian K, Chen J W, Li S H and Lee P S 2017 Adv. Sci. 4 1600190
|
[4] |
Lee J, Kim S, Lee J, Yang D, Park B C, Ryu S and Park I 2014 Nanoscale 6 11932
|
[5] |
Jian M Q, Xia K L, Wang Q, Yin Z, Wang H M, Wang C Y, Xie H H and Zhang Y Y 2017 Adv. Funct. Mater. 27 1606066
|
[6] |
Chen Z, Ming T, Mahomed M G, Yao H M, Daniel N, Marek H, Mario H and Kong J 2016 Adv. Funct. Mater. 26 5061
|
[7] |
Jian M Q, Wang C Y, Qi Wang, Wang H M, Xia K L, Zhe Y, Zhang M C, Liang X P and Zhang Y Y 2017 Sci. China Mater. 60 1026
|
[8] |
Bae G Y, Sang W Pak S W, Kim D, Lee G, Kim D H, Chung Y and Cho K 2016 Adv. Mater. 28 5300
|
[9] |
Manjunath M S, Nagarjuna N, Uma G, Umapathy M, Nayak M M and Rajanna K 2018 Microsyst. Technol. 24 2969
|
[10] |
Hu R, Zhao J and Zheng J 2017 Mater. Lett. 197 59
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