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dc.contributor.author Sahu, Manisha -
dc.contributor.author Hajra, Sugato -
dc.contributor.author Kim, Hang Gyeom -
dc.contributor.author Jang, Il Ryu -
dc.contributor.author Park, Jeonhyeong -
dc.contributor.author Padhan, Aneeta Manjari -
dc.contributor.author Kim, Hoe Joon -
dc.date.accessioned 2024-02-09T00:40:12Z -
dc.date.available 2024-02-09T00:40:12Z -
dc.date.created 2024-01-02 -
dc.date.issued 2023-11-01 -
dc.identifier.isbn 9798350303872 -
dc.identifier.issn 2168-9229 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/47913 -
dc.description.abstract This work reports the vertical-contact mode triboelectric nanogenerator based on ferroelectric material, Bi0.5(Na1-xKx)0.5TiO3 where $x}=0,0.18$ (BNT-BKT). Various mixture ratios are used to find out the best materials composition. The low-cost Solid-state synthesis method synthesized high-quality BNT-BKT. Enhancement of electrical output of a ferroelectric material via doping another high dielectric constant material. Solid state reaction method was used for the materials fabrication. The BNT-BKT particles have a wide structural diversity and are lead-free, which can be further employed to make a composite film. A vertical contact-separate triboelectric nanogenerator device is fabricated, which can easily be assembled based on a composite film of PDMS and BNT-BKT polycrystalline particles. The voltage, current, and charge of the BNT-BKT/PDMS device were measured to be $291V}, 3.47\mu A}$, and 42nC, respectively. The device is used for energy harvesting through LEDs and commercial watches. Further, we have reported a self-powered motion sensor. In the future, it can help with low-power healthcare sensors. © 2023 IEEE. -
dc.language English -
dc.publisher IEEE Sensors Council -
dc.title Advancing the ferroelectric-based triboelectric nanogenerator via composition optimization -
dc.type Conference Paper -
dc.identifier.doi 10.1109/SENSORS56945.2023.10324897 -
dc.identifier.scopusid 2-s2.0-85179759951 -
dc.identifier.bibliographicCitation IEEE SENSORS 2023, pp.1 - 4 -
dc.identifier.url https://confcats-event-sessions.s3.amazonaws.com/sensors23/uploads/SENSORS_2023_Program.pdf -
dc.citation.conferencePlace AU -
dc.citation.conferencePlace Vienna -
dc.citation.endPage 4 -
dc.citation.startPage 1 -
dc.citation.title IEEE SENSORS 2023 -
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Department of Robotics and Mechatronics Engineering Nano Materials and Devices Lab 2. Conference Papers

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