Simulation of carbon nanotubes polymer based piezoresistive flexible pressure sensor for ultra sensitive electronic skin

Author(s):  
Roopa Hegde ◽  
K. Ramji ◽  
P. Swapna
RSC Advances ◽  
2020 ◽  
Vol 10 (44) ◽  
pp. 26188-26196 ◽  
Author(s):  
Xiaojun Chen ◽  
Xitong Lin ◽  
Deyun Mo ◽  
Xiaoqun Xia ◽  
Manfeng Gong ◽  
...  

Bionic electronic skin with human sensory capabilities has attracted extensive research interest, which has been applied in the fields of medical health diagnosis, wearable electronics, human–computer interaction, and bionic prosthetics.


Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7385
Author(s):  
Xingjie Su ◽  
Chunli Luo ◽  
Weiguo Yan ◽  
Junyi Jiao ◽  
Dongzhou Zhong

Resistive pressure sensors are appealing due to having several advantages, such as simple reading mechanisms, simple construction, and quick dynamic response. Achieving a constantly changeable microstructure of sensing materials is critical for the flexible pressure sensor and remains a difficulty. Herein, a flexible, tunable resistive pressure sensors is developed via simple, low-cost microsphere self-assembly and graphene/carbon nanotubes (CNTs) solution drop coating. The sensor uses polystyrene (PS) microspheres to construct an interlocked dome microstructure with graphene/CNTs as a conductive filler. The results indicate that the interlocked microdome-type pressure sensor has better sensitivity than the single microdome-type and single planar-type without surface microstructure. The pressure sensor’s sensitivity can be adjusted by varying the diameter of PS microspheres. In addition, the resistance of the sensor is also tunable by adjusting the number of graphene/CNT conductive coating layers. The developed flexible pressure sensor effectively detected human finger bending, demonstrating tremendous potential in human motion monitoring.


2021 ◽  
pp. 131151
Author(s):  
Xiao Lei ◽  
Lijun Ma ◽  
Yunfan Li ◽  
Yuyang Cheng ◽  
Gary J. Cheng ◽  
...  

2020 ◽  
Vol 140 ◽  
pp. 106470
Author(s):  
Zahra Hosseindokht ◽  
Raheleh Mohammadpour ◽  
Elham Asadian ◽  
Mohsen Paryavi ◽  
Hashem Rafii-Tabar ◽  
...  

Author(s):  
Young Jung ◽  
Myung Gyu Shin ◽  
Hyeong Jun Tak ◽  
Kyung Kuk Jung ◽  
Jong Soo Ko

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4985 ◽  
Author(s):  
Peng Zhang ◽  
Yucheng Chen ◽  
Yuxia Li ◽  
Yun Zhao ◽  
Wei Wang ◽  
...  

High-performance flexible pressure sensors have great application prospects in numerous fields, including the robot skin, intelligent prosthetic hands and wearable devices. In the present study, a novel type of flexible piezoresistive sensor is presented. The proposed sensor has remarkable superiorities, including high sensitivity, high repeatability, a simple manufacturing procedure and low initial cost. In this sensor, multi-walled carbon nanotubes were assembled onto a polydimethylsiloxane film with a pyramidal microarray structure through a layer-by-layer self-assembly system. It was found that when the applied external pressure deformed the pyramid microarray structure on the surface of the polydimethylsiloxane film, the resistance of the sensor varied linearly as the pressure changed. Tests that were performed on sensor samples with different self-assembled layers showed that the pressure sensitivity of the sensor could reach − 2.65     kPa − 1 , which ensured the high dynamic response ability and the high stability of the sensor. Moreover, it was proven that the sensor could be applied as a strain sensor under the tensile force to reflect the stretching extent or the bending object. Finally, a flexible pressure sensor was installed on five fingers and the back of the middle finger of a glove. The obtained results from grabbing different weights and different shapes of objects showed that the flexible pressure sensor not only reflected the change in the finger tactility during the grasping process, but also reflected the bending degree of fingers, which had a significant practical prospect.


Nano Letters ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 2054-2059 ◽  
Author(s):  
Luca Nela ◽  
Jianshi Tang ◽  
Qing Cao ◽  
George Tulevski ◽  
Shu-Jen Han

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