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Development of Poly(Hindered Urea) Network for Self-healable Triboelectric Nanogenerators

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Development of Poly(Hindered Urea) Network for Self-healable Triboelectric Nanogenerators

Patel, Twinkalben (2023) Development of Poly(Hindered Urea) Network for Self-healable Triboelectric Nanogenerators. PhD thesis, Concordia University.

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Abstract

In recent years healable electronics have garnered significant attention for their scope in next-generation electronic devices. In particular, triboelectric nanogenerators (TENGs) which are capable of harvesting energies from mechanical motions have been explored as a promising power source for self-powered devices. TENGs possess the benefits of high performance, convenience, eco-friendliness, and low cost and require great strength and functionality to perform. The incorporation of self-healability into the design of TENG systems could improve their lifetime and durability as well as their energy harvesting capabilities. Dynamic covalent chemistries have been utilized extensively for the development of covalent adaptive networks exhibiting self-healability and reprocessability. However, most approaches require the use of external stimuli to establish the reversibility of broken networks. Therefore, the development of a new strategy for the synthesis of robust networks with the balanced properties of void-filling and mechanical strength is required for value-added applications such as flexible electronics.
Hindered urea bond (urea with a bulky substituent, attached to its nitrogen atom) is a promising dynamic covalent chemistry which undergoes dynamic exchange reaction at mild temperature, with no catalysts. The reaction of a bulky amine with isocyanate allows for a simple design of a polyurea self-healing network, further broadening the scope of applications for these materials.
My Ph.D. research has aimed to study self-healing mechanisms of hindered urea chemistry and to design and synthesize new materials that can undergo catalyst-free dynamic exchange reactions and thus autonomously repair cracks and starches at lower temperatures as well as exhibit reprocessability. Furthermore, the developed networks were evaluated for TENG performances to better understand the design principles of self-healable TENGs.

Divisions:Concordia University > Faculty of Arts and Science > Chemistry and Biochemistry
Item Type:Thesis (PhD)
Authors:Patel, Twinkalben
Institution:Concordia University
Degree Name:Ph. D.
Program:Chemistry
Date:12 July 2023
Thesis Supervisor(s):Oh, Jung Kwon
ID Code:992911
Deposited By: TWINKALBEN PATEL
Deposited On:14 Nov 2023 19:36
Last Modified:14 Nov 2023 19:36
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