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Self-powered online practical machine condition monitoring and wireless communication achieved on integrated, efficient, and durable triboelectric nanogenerator
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-3224-7513
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-4271-0380
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0003-3157-4632
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0001-6085-7880
2024 (English)In: Nano Energy, ISSN 2211-2855, E-ISSN 2211-3282, Vol. 123, article id 109439Article in journal (Refereed) Published
Abstract [en]

Triboelectric nanogenerator (TENG) can effectively scavenge ambient mechanical energy with cost, weight, and effectiveness advantages despite critical issues of TENG such as integration to complex components, low current output, and durability. In this work, we designed an adaptive TENG on a mechanical shaft for harvesting rotational energy which can easily assemble and disassemble. The proposed TENG presents an excellent performance for a wide range of rotational speeds (0–2000rpm) and delivers a high power of up to about 80mW (a high short circuit current of 3mA) for a size of 216 cm3, which is high enough for many types of machine condition monitoring purposes. The designed TENG has been evaluated under the noncontact mode of operation within a 0–0.5mm gap between TENG films. The TENG demonstrates excellent electrical stability of 99% without surface wear under noncontact mode within the whole test period for continuous operation of 420,000 cycles. The contact mode with a contact pressure of 0.76 Pa results in 90% electrical stability and apparent surface degradation. Moreover, it is demonstrated that the proposed TENG can power a wireless vibration sensor (60 mW) within 10 minutes energy harvesting for 9 seconds to send data via Bluetooth to a smartphone at up to 30 m, and a wireless temperature sensor (1.2 mW) in real-time for machine condition monitoring.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 123, article id 109439
Keywords [en]
Condition monitoring, Durability, Energy harvesting, TENG, Triboelectric nanogenerator, Wireless communication
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-104623DOI: 10.1016/j.nanoen.2024.109439Scopus ID: 2-s2.0-85186960197OAI: oai:DiVA.org:ltu-104623DiVA, id: diva2:1845166
Funder
Swedish Research Council Formas, 2019–00904Swedish Research Council, 2019–04941, 2023–04962
Note

Validerad;2024;Nivå 2;2024-03-18 (hanlid);Full text license: CC BY

Available from: 2024-03-18 Created: 2024-03-18 Last updated: 2024-03-18Bibliographically approved

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Mehamud, IdirisBjörling, MarcusMarklund, PärShi, Yijun

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