Frequency Detection for String Instruments Using 1D-2D Non-Contact Mode Triboelectric Sensors

The proliferation of small electronic devices has significantly increased the demand for self-powered sensors. This study introduces a triboelectric frequency sensor (TFS) that combines the frequency-responsive characteristics of triboelectric nanogenerators with a simple one-dimensional structure for sustainable vibration measurement. This sensor is specifically designed to aid in the tuning of string instruments, capable of detecting frequency responses up to 330 Hz generated by string vibrations. Structural optimization was achieved by setting a non-contact mode with a gap distance of 3 mm and utilizing perfluoroalkoxy alkane (PFA) as the contact dielectric material. The TFS exhibits dynamic response characteristics by varying the vibrating frequency and the tension of the string, facilitated by a custom-built testing setup. Frequency data captured by the sensor can be visualized on a monitor through the integration of a microcontroller unit (MCU) and dedicated coding. The practical applicability and effectiveness of this sensor in real-world scenarios are demonstrated experimentally. This innovation represents a significant step forward in the development of self-sustaining sensing technologies for precision instrument tuning.

Authors

Institutions

Publication Details

Journal
Micromachines
Published
2024-08-26
DOI
https://doi.org/10.3390/mi15091079
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.37

Funders

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

Frequency Detection for String Instruments Using 1D-2D Non-Contact Mode Triboelectric Sensors

Inkyum Kim, Daewon Kim, Hyunwoo Cho
2 citations
Micromachines
Advanced Sensor and Energy Harvesting Materials
0.37
article

Frequency Detection for String Instruments Using 1D-2D Non-Contact Mode Triboelectric Sensors

Inkyum Kim, Daewon Kim, Hyunwoo Cho
article en
2 citations

Abstract

The proliferation of small electronic devices has significantly increased the demand for self-powered sensors. This study introduces a triboelectric frequency sensor (TFS) that combines the frequency-responsive characteristics of triboelectric nanogenerators with a simple one-dimensional structure for sustainable vibration measurement. This sensor is specifically designed to aid in the tuning of string instruments, capable of detecting frequency responses up to 330 Hz generated by string vibrations. Structural optimization was achieved by setting a non-contact mode with a gap distance of 3 mm and utilizing perfluoroalkoxy alkane (PFA) as the contact dielectric material. The TFS exhibits dynamic response characteristics by varying the vibrating frequency and the tension of the string, facilitated by a custom-built testing setup. Frequency data captured by the sensor can be visualized on a monitor through the integration of a microcontroller unit (MCU) and dedicated coding. The practical applicability and effectiveness of this sensor in real-world scenarios are demonstrated experimentally. This innovation represents a significant step forward in the development of self-sustaining sensing technologies for precision instrument tuning.

MicromachinesVol. 15(9)
Kyung Hee University (KR), Korea Institute of Science and Technology (KR)
National Research Foundation, Kyung Hee University, Ministry of Education, Ministry of Trade, Industry and Energy, Korea Institute of Science and Technology, National Research Foundation of Korea
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Advanced Sensor and Energy Harvesting Materials
0.37
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.

Frequency Detection for String Instruments Using 1D-2D Non-Contact Mode Triboelectric Sensors — Inkyum Kim, Daewon Kim, et al. · Micromachines (2024) | TGRS Research Map | TGRS