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Development of a single-chip elasticity sensor using MEMS-based piezoresistive cantilevers with different tactile properties.

Authors :
Nguyen, Thanh-Vinh
Tanii, Ryota
Takahata, Tomoyuki
Shimoyama, Isao
Source :
Sensors & Actuators A: Physical. Jan2019, Vol. 285, p362-368. 7p.
Publication Year :
2019

Abstract

Highlights • An elasticity sensor that can measure the elasticity of an object without the information of the pressing force and object deformation is reported. • The proposed sensor utilizes the different tactile properties regarding to object elasticity at different locations on a single sensor chip. • Simulations using finite element method were carried out to confirm the sensing principle. • Fabrication of the sensor and results of the experiment carried out using the fabricated sensor were reported. Abstract In this paper, we propose a micro-electronic-mechanical systems (MEMS)-based tactile sensor that can measure the elasticity of an object without having to measure the contact force and the object's deformation. In our sensor design, a sensor chip that has three piezoresistive cantilevers is covered by a polydimethylsiloxane (PDMS) pad. The elasticity of an object pressed against the sensor is measured from the ratio of the deformations at different locations of the PDMS pad. One cantilever (C 1) is designed to measure the deformation of the center of the PDMS pad, while the other two cantilevers (C 2 and C 3) are designed to measure the deformations of the outer ends of the PDMS pad. When the sensor is pressed against an object, the ratio of the deformations of the outer ends over that of the center of the PDMS varies depending on the object's elasticity but not on the pressing force. Therefore, it is possible to measure the object's elasticity from the ratio of the cantilevers' outputs. Here, we report on the sensor design, numerical analysis, sensor fabrication, and demonstration of the elasticity measurement using the fabricated sensor. The proposed sensor is expected to be useful in practical applications, including robotic hand manipulation and tissue stiffness discrimination in minimally invasive surgery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09244247
Volume :
285
Database :
Academic Search Index
Journal :
Sensors & Actuators A: Physical
Publication Type :
Academic Journal
Accession number :
133787589
Full Text :
https://doi.org/10.1016/j.sna.2018.11.020