Using Auxetic Structure for Flexible Strain Sensor: Simulation and Experiment

Flexible strain sensors are pivotal in human motion monitoring and flexible robotics. Achieving large strain response, high sensitivity, and stability, while the simplifying preparation process and reducing costs, is still a challenge. In this article, we demonstrate a novel flexible strain sensor based on auxetic structure, fabricated through layer-by-layer self-assembling polyetherimide (PEI) and multiwall carbon nanotubes (MWCNTs). Simulation analysis is conducted to explore the effect of the auxetic structure on the film strain, and then the flexible strain sensors are designed, fabricated, and examined. We find that the flexible strain sensors based on auxetic structures exhibit interlaced microcracks in both the transverse and longitudinal directions under strain, significantly amplifying the resistance changes. Thus, the sensors achieve a maximum strain coefficient of 499 (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$13\times $ </tex-math></inline-formula> of those unpatterned strain sensors), a fast response with a response time of 37 ms and relaxation time of 38 ms, and excellent stability exceeding 15000 cycles. The sensors perform well in detecting throat vocalization and human limb movements, proving their prospects in human physiological signal detection and human health care.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-12-23
DOI
https://doi.org/10.1109/jsen.2024.3518579
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Auxetic Structure for Flexible Strain Sensor: Simulation and Experiment

Mengran Liu, Xuhui Zhao, Ruijie Liao
1 citations
IEEE Sensors Journal
Modular Robots and Swarm Intelligence
0.21
article

Using Auxetic Structure for Flexible Strain Sensor: Simulation and Experiment

Mengran Liu, Xuhui Zhao, Ruijie Liao
article en
1 citations

Abstract

Flexible strain sensors are pivotal in human motion monitoring and flexible robotics. Achieving large strain response, high sensitivity, and stability, while the simplifying preparation process and reducing costs, is still a challenge. In this article, we demonstrate a novel flexible strain sensor based on auxetic structure, fabricated through layer-by-layer self-assembling polyetherimide (PEI) and multiwall carbon nanotubes (MWCNTs). Simulation analysis is conducted to explore the effect of the auxetic structure on the film strain, and then the flexible strain sensors are designed, fabricated, and examined. We find that the flexible strain sensors based on auxetic structures exhibit interlaced microcracks in both the transverse and longitudinal directions under strain, significantly amplifying the resistance changes. Thus, the sensors achieve a maximum strain coefficient of 499 (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$13\times $ </tex-math></inline-formula> of those unpatterned strain sensors), a fast response with a response time of 37 ms and relaxation time of 38 ms, and excellent stability exceeding 15000 cycles. The sensors perform well in detecting throat vocalization and human limb movements, proving their prospects in human physiological signal detection and human health care.

IEEE Sensors JournalVol. 25(3)
Hubei University of Technology (CN)
Openalex Percentile: Top 48%
Modular Robots and Swarm Intelligence
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Using Auxetic Structure for Flexible Strain Sensor: Simulation and Experiment — Mengran Liu, Xuhui Zhao, et al. · IEEE Sensors Journal (2024) | TGRS Research Map | TGRS