Development of dual dynamic covalent network materials

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.

Faculty Supervisor:

Jung Kwon John Oh

Student:

Partner:

Sunchon National University

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

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