Publication Date
2021
Document Type
Dissertation
Committee Members
Maher S. Amer, Ph.D. (Advisor); Ahsan Mian, Ph.D. (Committee Member); Sheng Li, Ph.D. (Committee Member); Daniel Young, Ph.D. (Committee Member); Terry Murray, Ph.D. (Committee Member)
Degree Name
Doctor of Philosophy (PhD)
Abstract
Properties of layered material systems have been investigated since the 1940s and are currently very well understood. Classical mechanics combined with the well-developed lamination theory enable the prediction of multi-layered system properties once the properties of its constituents are known. The ability of the lamination theory to predict the conductive properties of multi-layered highly aligned single-walled carbon nanotube (SWCNT) and graphene thin films is investigated. Experimental results showed that the classical lamination theory is not valid in the case of the investigated nanofilm system. Using experimental results, we developed a closed form model using MATLAB which enabled the correct prediction of conductive properties of single and multi-layered highly aligned SWCNT and graphene thin films. It is clear from our current investigation that the properties of highly aligned SWCNT films are very sensitive to their interaction with each other, hence, the sharp dependence of the film properties on its number of layers. Our model agrees with experimental results that showed that such dependence ceases at certain number of layers. The exact number differs based on the layered material and the properties considered. For electrical conductivity, it was found to be between 8 to 10 layers for SWCNT thin films and 18 to 20 layers for graphene thin films. For thermal conductivity of SWCNT materials, it is estimated to be greater than 60 layers based on external research. Thermal conductivity models are produced based on the conclusions initiated within this study of the electrical properties.
Page Count
161
Department or Program
Ph.D. in Engineering
Year Degree Awarded
2021
Copyright
Copyright 2021, all rights reserved. My ETD will be available under the "Fair Use" terms of copyright law.
ORCID ID
0000-0002-7891-6639