Pantograph Structure based Self-powered Force Sensor
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, Dongwon | - |
dc.contributor.author | Son, Giyoung | - |
dc.contributor.author | Chung, Jihoon | - |
dc.date.accessioned | 2024-07-18T01:30:26Z | - |
dc.date.available | 2024-07-18T01:30:26Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.issn | 0277-786X | - |
dc.identifier.issn | 1996-756X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/28797 | - |
dc.description.abstract | The fusion of the Internet of Things and artificial intelligence demands a broad sensor network. However, traditional sensors rely on external power sources and has challenges such as high maintenance, cost, and environmental issues. Recent research focuses on self-powering sensors, especially triboelectric nanogenerators (TENG), as promising energy harvesters. Nevertheless, conventional TENG-based force sensors are material dependent which impacts to the sensor accuracy. Addressing this, we propose the Pantograph structure-based self-powered force sensor (PF-TENG) system. PF-TENG converts vertical input into horizontal movement, measuring force through peak count for material-independent accuracy. Its dynamic range adjusts via spring selection, achieving 92.7% sensing accuracy. Introducing lubricant oil extends its lifespan, demonstrating durability even after 225,000 cycles. Additionally, PF-TENG showcases potential as a tactile sensor, achieving 92% accuracy in recognizing varying Young's modulus of material. This multimodal capability makes PF-TENG promising for diverse applications. The PF-TENG system represents a significant advancement, offering precise force measurement across a wide dynamic range, non-material-dependent operation, and enhanced durability. The deep-learning approach further enhances its utility, allowing accurate tactile recognition. This research presents a novel method for developing non-material dependent TENG sensors, enabling interaction with diverse material surfaces and offering solutions in cutting-edge technology. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | SPIE-INT SOC OPTICAL ENGINEERING | - |
dc.title | Pantograph Structure based Self-powered Force Sensor | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1117/12.3009945 | - |
dc.identifier.scopusid | 2-s2.0-85195484162 | - |
dc.identifier.wosid | 001239323600016 | - |
dc.identifier.bibliographicCitation | SOFT MECHATRONICS AND WEARABLE SYSTEMS, v.12948 | - |
dc.citation.title | SOFT MECHATRONICS AND WEARABLE SYSTEMS | - |
dc.citation.volume | 12948 | - |
dc.type.docType | Proceedings Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Biomaterials | - |
dc.subject.keywordAuthor | Triboelectric nanogenerator | - |
dc.subject.keywordAuthor | Self-powered force sensor | - |
dc.subject.keywordAuthor | artificial intelligence | - |
dc.subject.keywordAuthor | lubrication | - |
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