Supercoiled Polymer Sensors From Twisting and Coiling Silver-Plated Nylon Threads

Supercoiled polymer (SCP) artificial muscles have shown great potential for achieving simultaneous flexible sensing and actuating. However, the lack of clarity regarding the sensing mechanism, coupled with a manufacturing procedure primarily optimized for actuation, has posed challenges. This article introduces a novel flexible SCP sensor, denoted as SCPS, with a streamlined manufacturing process aimed at significantly enhancing sensing capabilities. The SCPS’ sensing mechanism is revealed by analyzing its mechanics and electrical reactions under tension, which is attributed to resistance change resulting from increased current along the helical fiber direction. The microstructure of the proposed SCPS is analyzed using scanning electron microscopy (SEM). A comprehensive set of experiments is undertaken to evaluate the sensor’s performance, revealing a remarkably fast response time (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\lt {100}~\text {ms}$ </tex-math></inline-formula>) and high linearity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${R}^{{2}}={0}.{96}$ </tex-math></inline-formula>) within a strain range of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {25}\% $ </tex-math></inline-formula>. Furthermore, the experiments demonstrate the SCPS’ low hysteresis (5.3%) and exceptional repeatability (5.9%). A gesture recognition data glove is developed using four SCPSs and a recognition accuracy of 95% is achieved for eight distinct gestures.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-08-19
DOI
https://doi.org/10.1109/jsen.2024.3441630
Citations
11
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
3.18

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article

Supercoiled Polymer Sensors From Twisting and Coiling Silver-Plated Nylon Threads

Pei Dai, Lu Gan, Pengyu Wang, Yitong Zhou
11 citations
IEEE Sensors Journal
Analytical Chemistry and Sensors
3.18
article

Supercoiled Polymer Sensors From Twisting and Coiling Silver-Plated Nylon Threads

Pei Dai, Lu Gan, Pengyu Wang, Yitong Zhou
article en
11 citations

Abstract

Supercoiled polymer (SCP) artificial muscles have shown great potential for achieving simultaneous flexible sensing and actuating. However, the lack of clarity regarding the sensing mechanism, coupled with a manufacturing procedure primarily optimized for actuation, has posed challenges. This article introduces a novel flexible SCP sensor, denoted as SCPS, with a streamlined manufacturing process aimed at significantly enhancing sensing capabilities. The SCPS’ sensing mechanism is revealed by analyzing its mechanics and electrical reactions under tension, which is attributed to resistance change resulting from increased current along the helical fiber direction. The microstructure of the proposed SCPS is analyzed using scanning electron microscopy (SEM). A comprehensive set of experiments is undertaken to evaluate the sensor’s performance, revealing a remarkably fast response time (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\lt {100}~\text {ms}$ </tex-math></inline-formula>) and high linearity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${R}^{{2}}={0}.{96}$ </tex-math></inline-formula>) within a strain range of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {25}\% $ </tex-math></inline-formula>. Furthermore, the experiments demonstrate the SCPS’ low hysteresis (5.3%) and exceptional repeatability (5.9%). A gesture recognition data glove is developed using four SCPSs and a recognition accuracy of 95% is achieved for eight distinct gestures.

IEEE Sensors JournalVol. 24(19)
Guangdong Polytechnic Normal University (CN), South China University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 8%
Analytical Chemistry and Sensors
3.18
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