rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Analysis of Carbon Nanotube Networks in Multifunctional Polymer Nanocomposites
  name:
    name part: Maxwell, Kevin S
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Whitcomb, John
    role:
      role term: thesis advisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Carbon nanotubes (CNTs) have attracted much attention as reinforcements in polymer composite materials because of their unique mechanical, electrical, and thermal properties. The high electrical conductivity of CNTs is especially promising for use in multifunctional materials. Dispersing a small amount of CNTs in electrically insulating polymers has been shown to increase the conductivity of the material by many orders of magnitude because the high aspect ratio CNTs form percolating networks at very low volume fractions. Additionally, it has been shown that the application of mechanical strain to these nanocomposites results in a change in material resistivity, or piezoresistivity. Many experimental research efforts have focused on optimizing this effect for strain and damage sensing applications, but much is still unknown about the dominant mechanisms affecting piezoresistivity. The objective of this work was to develop a computational model that can predict and investigate the electrical and piezoresistive properties of CNT/polymer composites. The nanocomposites were modeled as random networks of resistors in 2D and 3D in order to understand the mechanisms that affect the percolative, electrical, and piezoresistive performance of different material systems. The model was used extensively to analyze and predict the electrical conductivity of 2D single-walled carbon nanotube thin films and 3D multi-walled carbon nanotube (MWCNT)/polymer nanocomposites. It was found that the contact resistance between individual nanotubes greatly affects the conductivity of 2D films as well as 3D MWCNT/polymer materials. Additionally, it was shown that the electrical conductivity model could be calibrated to experimental results by adjusting the contact resistance alone. The 3D random resistor network model was also used to predict the piezoresistive properties for MWCNT/polymer Nano composites. The dominant mechanisms that cause the piezoresistive effect in these material systems we…
  note: by Kevin S. Maxwell.
  note: "Major Subject: Materials Science and Engineering"
  note: Includes vita.
  note: Doctor of Philosophy Texas A & M University 2013 http://hdl.handle.net/1969.1/151710
  note: Includes bibliographical references.
  note: Text (Dissertation)
  subject:
    topic: Major Materials Science and Engineering
  subject:
    topic: carbon nanotube
  subject:
    topic: piezoresistivity
  subject:
    topic: nanocomposites
  subject:
    topic: finite elements
  subject:
    topic: electrical conductivity
  subject:
    topic: resistor network
  subject:
    topic: multifunctional materials
  identifier: http://hdl.handle.net/1969.1/151710
  record info:
    record content source: TXA
    record creation date: 140620
    record change date: 20151206101821.0
    record identifier: in00003435352
    language of cataloging:
      language term: eng