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Triboelectric nanogenerators (TENGs) are a new type of energy harvesting device converting mechanical stimuli, such as vibration, human motion, wind, and water waves, to electrical signals through the combination of triboelectric effect with electrostatic induction. However, conventionally-designed TENGs have major challenge that includes the failure of their self-charging power and the suppression of their output performance and lifetime, because of their long-term mechanical impacts and thus susceptible to fracture and surface damage. This proposed research aims to overcome the challenge with the integration of dual dynamic covalent adaptive networks (CANs) in TENG devices, thus developing self-healable and reprocessable TENG devices. We will study self-healing mechanisms in dual modes for dual dynamic CANs crosslinked with two dynamic covalent linkages as well as the enhancement of dielectric properties for the development of robust dual dynamic TENGs. Eventually, our proposed research will provide design principles for energy harvesting SH-TENGs in the development of flexible electronics requiring self-healability and reprocessability.
Jung Kwon John Oh
Sunchon National University
Engineering
Education
Concordia University
Globalink Research Award
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