Flexible Superamphiphobic Film with a 3D Conductive Network for Wearable Strain Sensors in Humid Conditions

2022 ◽  
Author(s):  
Ya-Ru Ding ◽  
Chao-Hua Xue ◽  
Xiao-Jing Guo ◽  
Xue Wang ◽  
Shun-Tian Jia ◽  
...  
Keyword(s):  
Strain Sensors ◽  
Conductive Network

Electromechanical Characterization of an Innovative Painted Carbon Nanotube Strain Sensor Under Dynamic Loading

2018 ◽  
Author(s):  
Erika Magnafico ◽  
Arnaldo Casalotti ◽  
Giulia Lanzara
Keyword(s):  
Dynamic Loading ◽  
Mechanical Strain ◽  
Great Sensitivity ◽  
Strain Sensors ◽  
Conductive Network ◽  
Electromechanical Properties ◽  
Low Weight ◽  
Sensitive Coating ◽  
Dynamic Loading Conditions

Piezoresistive strain sensors can be manufactured by embedding carbon nanotubes (CNTs) in an insulating polymer matrix, by taking advantage of CNTs superior electromechanical properties. In particular, the electromechanical properties find their roots in the conductive network formed by the randomly dispersed CNTs, through which the current can flow. When a mechanical strain occurs the conductive network configuration varies, changing the overall material conductivity. In this study this concept is being exploited to form a CNTs-based functional paint that allows to monitor ultra-large structural areas, in multiple directions, with an easy to assemble and processing approach. In particular, CNTs are dispersed in a PolymethylMethacrylate (PMMA) matrix following a carefully designed process to achieve a proper viscosity for direct painting onto a large in scale structure. Electromechanical tests are performed to characterize the piezoresistive behaviour of the coating in static and dynamic loading conditions. The results showed the great sensitivity of the coating to strain. The proposed approach to directly paint a sensitive coating onto the structure to be monitored has the advantages of: ultra-low weight, direct contact with the structure to be monitored and an extremely simple installation procedure.

scholarly journals Skin inspired fractal strain sensors using a copper nanowire and graphite microflake hybrid conductive network

Nanoscale ◽  
2016 ◽  
Vol 8 (37) ◽  
pp. 16596-16605 ◽  
Author(s):  
Naveen N. Jason ◽  
Stephen J. Wang ◽  
Sushrut Bhanushali ◽  
Wenlong Cheng
Keyword(s):  
Strain Sensors ◽  
Conductive Network ◽  
Copper Nanowire

Modeling of Contact Patch in Dual-Chamber Pneumatic Tires

2018 ◽  
Vol 46 (2) ◽  
pp. 78-92 ◽  
Author(s):  
A. I. Kubba ◽  
G. J. Hall ◽  
S. Varghese ◽  
O. A. Olatunbosun ◽  
C. J. Anthony
Keyword(s):  
Strain Sensors ◽  
Surface Strain ◽  
Wireless Data ◽  
Data Logger ◽  
Dual Chamber ◽  
Piezoelectric Polymer ◽  
Pure Rolling ◽  
Piezoelectric Elements ◽  
Strain Data ◽  
Deformation Patterns

ABSTRACT This study presents an investigation of the inner tire surface strain measurement by using piezoelectric polymer transducers adhered on the inner liner of the tire, acting as strain sensors in both conventional and dual-chamber tires. The piezoelectric elements generate electrical charges when strain is applied. The inner liner tire strain can be found from the generated charge. A wireless data logger was employed to measure and transmit the measured signals from the piezoelectric elements to a PC to store and display the readout signals in real time. The strain data can be used as a monitoring system to recognize tire-loading conditions (e.g., traction, braking, and cornering) in smart tire technology. Finite element simulations, using ABAQUS, were employed to estimate tire deformation patterns in both conventional and dual-chamber tires for pure rolling and steady-state cornering conditions for different inflation pressures to simulate on-road and off-road riding tire performances and to compare with the experimental results obtained from both the piezoelectric transducers and tire test rig.

scholarly journals Piezoresistive dynamic simulations of FDM 3D-Printed embedded strain sensors: a new modal approach

2019 ◽  
Vol 24 ◽  
pp. 390-397 ◽  
Author(s):  
Marco Maurizi ◽  
Filippo Cianetti ◽  
Janko Slavič ◽  
Guido Zucca ◽  
Massimiliano Palmieri
Keyword(s):  
Strain Sensors ◽  
Dynamic Simulations ◽  
Modal Approach ◽  
3D Printed

A packaging technique for silicon MEMS strain sensors on steel

2008 ◽  
Author(s):  
Matteo Ferri ◽  
Stefano Cristiani ◽  
Alberto Roncaglia ◽  
Yusuke Kobayashi ◽  
Kenichi Soga
Keyword(s):  
Strain Sensors ◽  
Packaging Technique
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