A Robust Triboelectric Impact Sensor with Carbon Dioxide Precursor-Based Calcium Carbonate Layer for Slap Match Application

As an urgent international challenge, the sudden change in climate due to global warming needs to be addressed in the near future. This can be achieved through a reduction in fossil fuel utilization and through carbon sequestration, which reduces the concentration of CO2 in the atmosphere. In this s...

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Bibliographic Details
Published in:Micromachines (Basel) 2023-09, Vol.14 (9), p.1778
Main Authors: Kim, Inkyum, Cho, Hyunwoo, Kitchamsetti, Narasimharao, Yun, Jonghyeon, Lee, Jeongmin, Park, Wook, Kim, Daewon
Format: Article
Language:English
Subjects:
Air pollution
Algorithms
Calcium carbonate
Carbon dioxide
Carbon dioxide concentration
Carbon sequestration
Chemical synthesis
Climate change
CO2 absorption
Crystal structure
eco-friendly technology
Electrodes
Energy
Force and energy
Fossil fuels
Gases
Global warming
Machine learning
Nanogenerators
Robustness
Sensors
slap match
Spectrum analysis
Supervised learning
Support vector machines
triboelectric nanogenerators
triboelectric series
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Summary:As an urgent international challenge, the sudden change in climate due to global warming needs to be addressed in the near future. This can be achieved through a reduction in fossil fuel utilization and through carbon sequestration, which reduces the concentration of CO2 in the atmosphere. In this study, a self-sustainable impact sensor is proposed through implementing a triboelectric nanogenerator with a CaCO3 contact layer fabricated via a CO2 absorption method. The triboelectric polarity of CaCO3 with the location between the polyimide and the paper and the effects of varying the crystal structure are investigated first. The impact sensing characteristics are then confirmed at various input frequencies and under applied forces. Further, the high mechanical strength and strong adherence of CaCO3 on the surface of the device are demonstrated through enhanced durability compared to the unmodified device. For the intended application, the as-fabricated sensor is used to detect the turning state of the paper Ddakji in a slap match game using a supervised learning algorithm based on a support vector machine presenting a high classification accuracy of 95.8%. The robust CaCO3-based triboelectric device can provide an eco-friendly advantage due to its self-powered characteristics for impact sensing and carbon sequestration.
ISSN:2072-666X
2072-666X
DOI:10.3390/mi14091778