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Filler agglomeration, segregated CNT structure, field-driven graphene rotation, and pressure sensing in graphene- and CNT- nanocomposites

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Title
Filler agglomeration, segregated CNT structure, field-driven graphene rotation, and pressure sensing in graphene- and CNT- nanocomposites
Name (type = personal)
NamePart (type = family)
Du
NamePart (type = given)
Han
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Han Du
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author
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NamePart (type = family)
Weng
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George
Affiliation
Advisory Committee
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chair
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Mazzeo
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Aaron AZ
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Aaron AZ Mazzeo
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Advisory Committee
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member
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Li
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Jackie JL
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Jackie JL Li
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Advisory Committee
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member
Name (type = personal)
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Shan
NamePart (type = given)
Jerry JS
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Jerry JS Shan
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Advisory Committee
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member
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Rutgers University
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degree grantor
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School of Graduate Studies
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theses
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2023
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2023-05
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2023
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English
Abstract (type = abstract)
In this thesis, we conducted a theoretical investigation into the mechanical and electrical properties of graphene- and CNT-based nanocomposites. Due to their high stiffness and flexibility as well as their superior thermal, electrical, and optical properties, graphene nanoplatelets (GNPs) and carbon nanotubes (CNTs) are increasingly used as nano-additives to improve the performance of nanocomposites. In the electrical setting, one can turn an insulating composite into a conductive one by adding a small volume of GNPs or CNTs into the polymer matrix, a process known as percolation phenomenon. In the mechanical context, both elastic modulus and yield strength of the composite can be markedly improved. With this perspective, we focus on four main topics: evolution of graphene agglomeration, influence of segregated CNT networks, electric field-driven GNP rotation, and pressure sensing of hybrid graphene/CNT/elastomer nanocomposites.
The backbone of the computational strategy is a percolation threshold-embedded effective-medium approximation (EMA) under perfect interface. Mori-Tanaka’s (MT) approach with ellipsoidal inclusion and Hashin’s exact solutions with spherical inclusions are also called upon under various conditions. The additional interfacial phenomena, including imperfect mechanical bonding, electron tunneling between conductive fillers, formation of Maxwell-Wagner-Sillars polarization at the filler/polymer interfaces, Dyre’s frequency-dependent electron hopping, and Debye’s frequency dependent dielectric relaxation, are also incorporated into the computation of effective conductivity and permittivity of the nanocomposites. Motivated by the observation that graphene agglomeration tends to increase with increasing graphene loading, we proposed an evolution equation in the first problem to account for such an increase, and examined how such evolution affects the electrical and mechanical properties of the nanocomposites. In an effort to find higher electric conductivity and dielectric permittivity, and lower percolation threshold for the nanocomposites, we constructed a segregated CNT network that exhibits higher CNT contents on the grain-boundary-like regions and very low CNT density in the interior in the second problem to meet the challenge. In a continued pursuit to find lower percolation threshold, we developed an overdamped dipole model to describe the kinetic motion of GNP rotation under various AC fields in the third. To explore broader applications of nanocomposites, we studied the issue of pressure sensing of hybrid graphene/CNT/elastomer nanocomposites under bending in the fourth one. Some remarkable results have been obtained in these four categories of research.
Among several findings we have uncovered in the first part on the evolution of graphene agglomeration is that, in graphene/PP nanocomposites, the Young’s modulus is around 1 GPa without graphene agglomeration but it decreases to 0.6 GPa with agglomeration. The percolation threshold with agglomerates is approximately 70 times that of the percolation threshold without agglomerates. These results efficiently demonstrate the hindering effects of agglomerates on the overall effective mechanical and electrical properties. For the second part, we demonstrated that segregated CNT structure inside the CNT/PA nanocomposites can reduce the percolation threshold by 10 times and increase both conductivity and permittivity as compared to the composite with homogeneously dispersed CNTs. In the third part of investigation on the electric field-driven GNP rotation, we reported an ultra-low percolation threshold, which is around 0.03 vol% as compared with 0.75 vol% without application of the electric field. This obtained percolation threshold is - to the best of our knowledge - the lowest published in the literature and confirmed by Spratford and Shan’s experiment. Finally, in our last part on the pressure sensing study, we reported that the resistance of the hybrid graphene/CNT/elastomer nanocomposite can reduce by about 7 orders of magnitude as the bending pressure increases from 0 to 1 KPa, a phenomenon also validated by experiments.
The outcomes of this investigation may benefit the future development of novel nanocomposites and fabrication of electronics devices.
Subject (authority = RUETD)
Topic
Mechanical engineering
Subject (authority = RUETD)
Topic
Nanoscience
Subject (authority = RUETD)
Topic
Materials Science
Subject (authority = local)
Topic
Carbon nanotube
Subject (authority = local)
Topic
Dielectric permittivity
Subject (authority = local)
Topic
Electrical conductivity
Subject (authority = local)
Topic
Graphene
Subject (authority = local)
Topic
Nanocomposite
Subject (authority = local)
Topic
Percolation
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Rutgers University Electronic Theses and Dissertations
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220 pages : illustrations
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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Identifier (type = doi)
doi:10.7282/t3-4p7p-0v48
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Name
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Du
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Han
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2023-04-27T17:17:18
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Han Du
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Rutgers University. School of Graduate Studies
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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