A self-damping triboelectric tactile patch for self-powered wearable electronics

Wearable tactile sensing systems with bionic designs holds significant promise for environmental interactions and human–machine communication. Triboelectric sensing technology plays a vital role in acquiring and quantifying tactile signals. Conventional elastic sensing materials, however, lack damping performance and are easily damaged by vibrations, leading to sensor failure. To address this challenge, our study proposes a highly damping triboelectric gel based on a hydrogen bonding assisted microphase separation strategy. In microphase separation, the soft phase provides the viscoelasticity needed for the gel, while the hard phase dissipates shock energy. This energy dissipation mechanism enables the gel to achieve excellent damping performance (tan ​δ ​= ​0.68 ​at 1Hz), skin-like softness (Young’s modulus of 130 ​kPa), and stretchability (> 900 ​%). The resulting self-damping tactile patch effectively absorbs and dissipates external vibrations, ensuring a stable and reliable wearable tactile sensing device. This work provides new insights into the application of triboelectric gels in wearable electronics. • A self-damping triboelectric tactile patch for wearable electronics has been developed based on a skin-like design. • The triboelectric gel used in the patch has a bionic energy dissipation mechanism with a tan ​δ of 0.68 (at 1 ​Hz). • The output performance and response time of the highly damping triboelectric tactile patch are 159 V and 66 ms, respectively.

Authors

Institutions

Publication Details

Journal
eScience
Published
2024-10-05
DOI
https://doi.org/10.1016/j.esci.2024.100324
Citations
58
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
10.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A self-damping triboelectric tactile patch for self-powered wearable electronics

Zhaomeng Liu, Mingchao Chi, Shuangxi Nie, Yuzheng Shao et al.
58 citations
eScience
Advanced Sensor and Energy Harvesting Materials
10.70
article

A self-damping triboelectric tactile patch for self-powered wearable electronics

Zhaomeng Liu, Mingchao Chi, Shuangxi Nie, Yuzheng Shao, Guoli Du, Chenchen Cai, Bin Luo, Tao Liu, Song Zhang, Shuangfei Wang, Jiamin Zhao
article en
58 citations

Abstract

Wearable tactile sensing systems with bionic designs holds significant promise for environmental interactions and human–machine communication. Triboelectric sensing technology plays a vital role in acquiring and quantifying tactile signals. Conventional elastic sensing materials, however, lack damping performance and are easily damaged by vibrations, leading to sensor failure. To address this challenge, our study proposes a highly damping triboelectric gel based on a hydrogen bonding assisted microphase separation strategy. In microphase separation, the soft phase provides the viscoelasticity needed for the gel, while the hard phase dissipates shock energy. This energy dissipation mechanism enables the gel to achieve excellent damping performance (tan ​δ ​= ​0.68 ​at 1Hz), skin-like softness (Young’s modulus of 130 ​kPa), and stretchability (> 900 ​%). The resulting self-damping tactile patch effectively absorbs and dissipates external vibrations, ensuring a stable and reliable wearable tactile sensing device. This work provides new insights into the application of triboelectric gels in wearable electronics. • A self-damping triboelectric tactile patch for wearable electronics has been developed based on a skin-like design. • The triboelectric gel used in the patch has a bionic energy dissipation mechanism with a tan ​δ of 0.68 (at 1 ​Hz). • The output performance and response time of the highly damping triboelectric tactile patch are 159 V and 66 ms, respectively.

eScienceVol. 5(2)
Guangxi University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
10.70
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.