Predictively designing a linear solid–liquid triboelectric nanogenerator for underwater tactile sensing

A conventional "design-and-then-test" methodology is employed for the design of a solid-liquid triboelectric nanogenerator (SL-TENG)-based sensor. The problem, however, is that the output is nonlinear with unknown sensitivity before it has been tested. To address this problem, predictively designing an SL-TENG sensor with linear output for underwater application is presented. First, an equation relating the sensor output to the contact length and input pressure was defined under the linear output requirement. Afterwards, the relationship between the signal output and the contact length was derived and the relationship between elastomer deformation and input pressure was established, as well as the dimensional parameters of the flexible elastomer. With the determined dimensional parameters, a sensor was fabricated and the design method was experimentally verified. It was found that a linear sensor with predictive sensitivity can be achieved with this method. To demonstrate the accuracy of this method, a sensor with a linear range of 0-270 kPa, sensitivity of 0.035 mV kPa<sup>-1</sup>, and the ability to work stably underwater at depths of up to 100 m was designed and experimentally demonstrated.

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Publication Details

Journal
Nanoscale
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nr01453k
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

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article

Predictively designing a linear solid–liquid triboelectric nanogenerator for underwater tactile sensing

Zichao Wang, Quanyu Wang, Yongxin Song, Dong Sheng Lv et al.
1 citations
Nanoscale
Advanced Sensor and Energy Harvesting Materials
0.67
article

Predictively designing a linear solid–liquid triboelectric nanogenerator for underwater tactile sensing

Zichao Wang, Quanyu Wang, Yongxin Song, Dong Sheng Lv, Dongqing Li
article en
1 citations

Abstract

A conventional "design-and-then-test" methodology is employed for the design of a solid-liquid triboelectric nanogenerator (SL-TENG)-based sensor. The problem, however, is that the output is nonlinear with unknown sensitivity before it has been tested. To address this problem, predictively designing an SL-TENG sensor with linear output for underwater application is presented. First, an equation relating the sensor output to the contact length and input pressure was defined under the linear output requirement. Afterwards, the relationship between the signal output and the contact length was derived and the relationship between elastomer deformation and input pressure was established, as well as the dimensional parameters of the flexible elastomer. With the determined dimensional parameters, a sensor was fabricated and the design method was experimentally verified. It was found that a linear sensor with predictive sensitivity can be achieved with this method. To demonstrate the accuracy of this method, a sensor with a linear range of 0-270 kPa, sensitivity of 0.035 mV kPa<sup>-1</sup>, and the ability to work stably underwater at depths of up to 100 m was designed and experimentally demonstrated.

NanoscaleVol. 17(36)
University of Waterloo (CA), Dalian Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 27%
Advanced Sensor and Energy Harvesting Materials
0.67
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Predictively designing a linear solid–liquid triboelectric nanogenerator for underwater tactile sensing — Zichao Wang, Quanyu Wang, et al. · Nanoscale (2025) | TGRS Research Map | TGRS