Sumin Cho, Sunmin Jang, Donghan Lee, Yoonsang Ra, Dongik Kam, Jong Woo Kim, Do-Shik Shin, Kyoung Duck Seo, D. Choi
{"title":"基于P(VDF-TrFE)电纺纳米纤维的自供电混合摩擦电-压电电子皮肤用于人工传感系统","authors":"Sumin Cho, Sunmin Jang, Donghan Lee, Yoonsang Ra, Dongik Kam, Jong Woo Kim, Do-Shik Shin, Kyoung Duck Seo, D. Choi","doi":"10.1088/2631-6331/aca139","DOIUrl":null,"url":null,"abstract":"Piezoelectric sensors have been developed due to the self-powered sensing and flexibility and the promising potential applications in the electronic skin (e-skin) inspired by human skin. However, although the piezoelectric sensors have an excellent performance in detecting human movements, it is difficult to distinguish external mechanical stimuli such as tapping in a single structure, together. Here, we suggest a self-powered e-skin based on electrospun poly(vinylidene fluoride-trifluoroethylene), nanofiber hybrid triboelectric–piezoelectric sensor (E-HTPS), that can identify between human motions and external touch based on both triboelectric effect and piezoelectric effect. Triboelectric effect-based sensors have a good electrical output characteristic with various advantages of high-flexibility and simple working operation. Hence, the E-HTPS consists of two layers, triboelectric layer as a tactile sensor and piezoelectric layer as a human motion sensor. Therefore, we demonstrate that the E-HTPS can detect human movements and even finger touch with attached to the target body part. Consequently, the E-HTPS could provide an effective approach to designing the self-powered e-skin as an artificial sensory system for healthcare monitoring and soft robotics.","PeriodicalId":12652,"journal":{"name":"Functional Composites and Structures","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Self-powered hybrid triboelectric–piezoelectric electronic skin based on P(VDF-TrFE) electrospun nanofibers for artificial sensory system\",\"authors\":\"Sumin Cho, Sunmin Jang, Donghan Lee, Yoonsang Ra, Dongik Kam, Jong Woo Kim, Do-Shik Shin, Kyoung Duck Seo, D. Choi\",\"doi\":\"10.1088/2631-6331/aca139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Piezoelectric sensors have been developed due to the self-powered sensing and flexibility and the promising potential applications in the electronic skin (e-skin) inspired by human skin. However, although the piezoelectric sensors have an excellent performance in detecting human movements, it is difficult to distinguish external mechanical stimuli such as tapping in a single structure, together. Here, we suggest a self-powered e-skin based on electrospun poly(vinylidene fluoride-trifluoroethylene), nanofiber hybrid triboelectric–piezoelectric sensor (E-HTPS), that can identify between human motions and external touch based on both triboelectric effect and piezoelectric effect. Triboelectric effect-based sensors have a good electrical output characteristic with various advantages of high-flexibility and simple working operation. Hence, the E-HTPS consists of two layers, triboelectric layer as a tactile sensor and piezoelectric layer as a human motion sensor. Therefore, we demonstrate that the E-HTPS can detect human movements and even finger touch with attached to the target body part. Consequently, the E-HTPS could provide an effective approach to designing the self-powered e-skin as an artificial sensory system for healthcare monitoring and soft robotics.\",\"PeriodicalId\":12652,\"journal\":{\"name\":\"Functional Composites and Structures\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2022-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Functional Composites and Structures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1088/2631-6331/aca139\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, COMPOSITES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Functional Composites and Structures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/2631-6331/aca139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
Self-powered hybrid triboelectric–piezoelectric electronic skin based on P(VDF-TrFE) electrospun nanofibers for artificial sensory system
Piezoelectric sensors have been developed due to the self-powered sensing and flexibility and the promising potential applications in the electronic skin (e-skin) inspired by human skin. However, although the piezoelectric sensors have an excellent performance in detecting human movements, it is difficult to distinguish external mechanical stimuli such as tapping in a single structure, together. Here, we suggest a self-powered e-skin based on electrospun poly(vinylidene fluoride-trifluoroethylene), nanofiber hybrid triboelectric–piezoelectric sensor (E-HTPS), that can identify between human motions and external touch based on both triboelectric effect and piezoelectric effect. Triboelectric effect-based sensors have a good electrical output characteristic with various advantages of high-flexibility and simple working operation. Hence, the E-HTPS consists of two layers, triboelectric layer as a tactile sensor and piezoelectric layer as a human motion sensor. Therefore, we demonstrate that the E-HTPS can detect human movements and even finger touch with attached to the target body part. Consequently, the E-HTPS could provide an effective approach to designing the self-powered e-skin as an artificial sensory system for healthcare monitoring and soft robotics.