Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Kansas City
    • School of Graduate Studies (UMKC)
    • Theses and Dissertations (UMKC)
    • Theses (UMKC)
    • 2019 Theses (UMKC)
    • 2019 UMKC Theses - Freely Available Online
    • View Item
    •   MOspace Home
    • University of Missouri-Kansas City
    • School of Graduate Studies (UMKC)
    • Theses and Dissertations (UMKC)
    • Theses (UMKC)
    • 2019 Theses (UMKC)
    • 2019 UMKC Theses - Freely Available Online
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleSubjectIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleSubjectIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    Frequency and time domain analysis of carbon nanotubes with realistic shape and distribution

    Islam, Md Khadimul
    View/Open
    [PDF] Frequency and time domain analysis of carbon nanotubes with realistic shape and distribution (3.215Mb)
    Date
    2019
    Metadata
    [+] Show full item record
    Abstract
    Carbon nanotube (CNT) composites have been of significant research interest in a wide range of applications. For electromagnetic applications, simplifying assumptions regarding the distribution and shapes of the CNTs are typically made because the exact three-dimensional CNT distribution in the composite is unknown. The goal of this work is to use experimentally characterized 3D CNT maps to study the effect of distribution and shape of the CNTs on the electromagnetic properties of the composite. Recently, electron tomography techniques have advanced to the point that they are capable of generating 3D maps of Multi-Walled Carbon Nanotubes (MWCNTs) distributions with sub-nanometer resolutions. The electromagnetic responses of these maps were calculated using both full-wave electromagnetic solvers and dilute limit effective medium approximations for multiple CNT volume fractions with different conductivities. The results show that the electromagnetic response calculated using these two methods differs significantly especially at higher terahertz frequencies. By also studying the shapes of CNTs, we found several multi-branched shapes denoted Y-shaped, K-shaped, and T-shaped CNTs. These complex-shaped CNT junctions lead to unique properties that depend on the atomic structure of the carbon atoms in the vicinity of the junction, leading in some cases to a nonlinear conductivity. The electromagnetic scattering characteristics of these nonlinear CNT structures need to be quantified to predict their response to incident electromagnetic radiation. Time-domain electromagnetic codes facilitate the analysis of scatterers with non-linear loads. Therefore, we used the Time Domain Integral Equation (TDIE) formulation and Method of Moments (MoM) to calculate the electromagnetic scattering characteristics of these complex-shaped CNTs structures with nonlinear conductivities. The CNT analysis in this work has the potential to lead to a better understanding of the electromagnetic responses of CNT composites, which will facilitate the accurate nondestructive electromagnetic evaluation of the CNT shapes and distributions, which control the overall mechanical, thermal and electrical properties of these composites.
    Table of Contents
    Introduction -- Frequency domain quantification of carbon nanotube using realistic shape and distribution -- Time domain analysis of carbon nanotube with nonlinear conductivity -- Conclusion -- Appendix
    URI
    https://hdl.handle.net/10355/71045
    Degree
    M.S. (Master of Science)
    Thesis Department
    Electrical Engineering (UMKC)
    Collections
    • 2019 UMKC Theses - Freely Available Online
    • Computer Science and Electrical Engineering Electronic Theses and Dissertations (UMKC)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems