3D printed triboelectric nanogenerators for texture sensing
Triboelectric nanogenerators (TENGs) are gaining more widespread attention due to its ability to generate electricity from mechanical motion. The ability to generate electricity from mechanical motion gives TENGs a wide range of applications, in particular, its use for texture sensing application...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168054 |
| _version_ | 1826114169668108288 |
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| author | Tan, Kyle Ke Hao |
| author2 | Yifan Wang |
| author_facet | Yifan Wang Tan, Kyle Ke Hao |
| author_sort | Tan, Kyle Ke Hao |
| collection | NTU |
| description | Triboelectric nanogenerators (TENGs) are gaining more widespread attention due to
its ability to generate electricity from mechanical motion. The ability to generate
electricity from mechanical motion gives TENGs a wide range of applications, in
particular, its use for texture sensing applications.
The use of TENGs for texture sensing involves sliding the TENG across various
textures and generating electrical waveforms from the mechanical sliding motion.
Analyzing these waveforms will then allow the recognition of the textures, thus
achieving texture sensing.
The use of TENGs for texture sensing opens up many applications in the fields of
artificial intelligence, prosthetics, and robotics, specifically, its use as electronic
skins in robotic applications. Electronic skins in robotics essentially allows a robot to
mimic the tactile detection that the human skin possesses, giving rise to smarter
machines with a sense of touch.
However, most other texture sensors possess complex designs with complicated
fabrication methods, requiring the use of many materials. This project presents a
novel TENG texture sensor with a simple design that can be easily fabricated with a
few materials. The TENG texture sensor is capable of measuring repeating texture
gaps with an average accuracy of 98.75%, and it is also able to differentiate rough
surfaces like gravel-like textures from smoother textures like glass. |
| first_indexed | 2024-10-01T03:34:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/168054 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:34:49Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1680542023-06-10T16:51:56Z 3D printed triboelectric nanogenerators for texture sensing Tan, Kyle Ke Hao Yifan Wang School of Mechanical and Aerospace Engineering yifan.wang@ntu.edu.sg Engineering::Mechanical engineering Triboelectric nanogenerators (TENGs) are gaining more widespread attention due to its ability to generate electricity from mechanical motion. The ability to generate electricity from mechanical motion gives TENGs a wide range of applications, in particular, its use for texture sensing applications. The use of TENGs for texture sensing involves sliding the TENG across various textures and generating electrical waveforms from the mechanical sliding motion. Analyzing these waveforms will then allow the recognition of the textures, thus achieving texture sensing. The use of TENGs for texture sensing opens up many applications in the fields of artificial intelligence, prosthetics, and robotics, specifically, its use as electronic skins in robotic applications. Electronic skins in robotics essentially allows a robot to mimic the tactile detection that the human skin possesses, giving rise to smarter machines with a sense of touch. However, most other texture sensors possess complex designs with complicated fabrication methods, requiring the use of many materials. This project presents a novel TENG texture sensor with a simple design that can be easily fabricated with a few materials. The TENG texture sensor is capable of measuring repeating texture gaps with an average accuracy of 98.75%, and it is also able to differentiate rough surfaces like gravel-like textures from smoother textures like glass. Bachelor of Engineering (Mechanical Engineering) 2023-06-06T08:37:01Z 2023-06-06T08:37:01Z 2023 Final Year Project (FYP) Tan, K. K. H. (2023). 3D printed triboelectric nanogenerators for texture sensing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168054 https://hdl.handle.net/10356/168054 en A134 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Mechanical engineering Tan, Kyle Ke Hao 3D printed triboelectric nanogenerators for texture sensing |
| title | 3D printed triboelectric nanogenerators for texture sensing |
| title_full | 3D printed triboelectric nanogenerators for texture sensing |
| title_fullStr | 3D printed triboelectric nanogenerators for texture sensing |
| title_full_unstemmed | 3D printed triboelectric nanogenerators for texture sensing |
| title_short | 3D printed triboelectric nanogenerators for texture sensing |
| title_sort | 3d printed triboelectric nanogenerators for texture sensing |
| topic | Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/168054 |
| work_keys_str_mv | AT tankylekehao 3dprintedtriboelectricnanogeneratorsfortexturesensing |