Issue 24, 2024

A flexible dual-mode sensor with decoupled strain and temperature sensing for smart robots

Abstract

Flexible dual mode strain–temperature sensors that mimic human skin functions are highly desired for wearable devices and intelligent robots. However, integrating dual sensing characteristics into a single sensor for simultaneous and decoupled strain–temperature detection still remains a challenge. Herein, we report a flexible dual-modal sensor that uses a “neutral surface” structural design technique to integrate an independently prepared temperature sensing layer (TSL) and strain sensing layer (SSL), for simultaneous monitoring of strain and temperature, in a decoupled manner. The TSL consists of a PDMS/BaTiO3 based dielectric layer whose dielectric constant and thickness change in response to temperature fluctuations. The SSL consists of a resistive type Ni80Cr20 film whose resistance changes in response to external strain. After optimizing the temperature and strain sensing characteristics of the TSL and SSL, the obtained dual-modal flexible sensor has shown a broad temperature sensing range (30 to 200 °C), with high temperature sensitivity (−160.90 fF °C−1), excellent linearity (0.998), and highly discernible temperature resolution (0.1 °C). Additionally, the sensor has also exhibited a wide strain monitoring range (20 to 1000 με), good strain resolution (20 με or 0.002%), and a fast strain response time (54 ms). When practically demonstrated, our sensor has successfully shown independent perception of strain and temperature, which highlights its promising application potential in the fields of smart robotics and intelligent prosthetics.

Graphical abstract: A flexible dual-mode sensor with decoupled strain and temperature sensing for smart robots

Supplementary files

Article information

Article type
Communication
Submitted
30 Jun 2024
Accepted
23 Sep 2024
First published
27 Sep 2024

Mater. Horiz., 2024,11, 6361-6370

A flexible dual-mode sensor with decoupled strain and temperature sensing for smart robots

S. Li, M. Yang, Y. Wu, W. Asghar, X. Lu, H. Zhang, E. Cui, Z. Fang, J. Shang, Y. Liu and R. Li, Mater. Horiz., 2024, 11, 6361 DOI: 10.1039/D4MH00841C

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