An ultra-broad-range pressure sensor based on gradient stiffness design

2021 ◽  
Author(s):  
Fuhua Xue ◽  
Haowen Zheng ◽  
Qingyu Peng ◽  
Ying Hu ◽  
Xu Zhao ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Pressure Sensor ◽  
Stiffness Design

The question of how to make artificial intelligence robots perceive the power of "light as a feather" and "heavy as a mountain" at the same time has always been a...

Recent Advances in Graphene-Based Pressure Sensors

Nano LIFE ◽  
2016 ◽  
Vol 06 (03n04) ◽  
pp. 1642005 ◽  
Author(s):  
Lu Zhang ◽  
Guangfeng Hou ◽  
Zhizhen Wu ◽  
Vesselin Shanov
Keyword(s):  
Artificial Intelligence ◽  
Mechanical Properties ◽  
Health Care ◽  
Electrical Conductivity ◽  
Surface Area ◽  
Pressure Sensor ◽  
Pressure Sensors ◽  
Exciting Field ◽  
Recent Advances ◽  
Artificial Intelligence Systems

With the promising applications in artificial intelligence systems and wearable health care devices, great efforts have been devoted to develop advanced pressure sensors. Graphene-based materials are promising pressure sensor materials due to the excellent electrical conductivity, outstanding mechanical properties and large surface area. This review summarizes the recent advances and progress in graphene and graphene-based pressure sensors. Perspectives and challenges in this exciting field are also highlighted and discussed.

scholarly journals Printed and Flexible Capacitive Pressure Sensor with Carbon Nanotubes based Composite Dielectric Layer

Micromachines ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 715 ◽  
Author(s):  
Zhenxin Guo ◽  
Lixin Mo ◽  
Yu Ding ◽  
Qingqing Zhang ◽  
Xiangyou Meng ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Carbon Nanotubes ◽  
Aspect Ratio ◽  
Pressure Sensor ◽  
Dielectric Layer ◽  
Pressure Sensors ◽  
Weight Fraction ◽  
Capacitive Pressure Sensor ◽  
Flexible Pressure Sensor ◽  
Flexible Pressure Sensors

Flexible pressure sensors have attracted tremendous attention from researchers for their widely applications in tactile artificial intelligence, electric skin, disease diagnosis, and healthcare monitoring. Obtaining flexible pressure sensors with high sensitivity in a low cost and convenient way remains a huge challenge. In this paper, the composite dielectric layer based on the mixture of carbon nanotubes (CNTs) with different aspect ratios and polydimethylsiloxane (PDMS) was employed in flexible capacitive pressure sensor to increase its sensitivity. In addition, the screen printing instead of traditional etching based methods was used to prepare the electrodes array of the sensor. The results showed that the aspect ratio and weight fraction of the CNTs play an important role in improving the sensitivity of the printed capacitive pressure sensor. The prepared capacitive sensor with the CNTs/PDMS composite dielectric layer demonstrated a maximum sensitivity of 2.9 kPa−1 in the pressure range of 0–450 Pa, by using the CNTs with an aspect ratio of 1250–3750 and the weight fraction of 3.75%. The mechanism study revealed that the increase of the sensitivity of the pressure sensor should be attributed to the relative permittivity increase of the composite dielectric layer under pressure. Meanwhile, the printed 3 × 3 and 10 × 10 sensor arrays showed excellent spatial resolution and uniformity when they were applied to measure the pressure distribution. For further applications, the flexible pressure sensor was integrated on an adhesive bandage to detect the finger bending, as well as used to create Morse code by knocking the sensor to change their capacitance curves. The printed and flexible pressure sensor in this study might be a good candidate for the development of tactile artificial intelligence, intelligent medical diagnosis systems and wearable electronics.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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