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Dissertation
Predictive modeling of novel-material antennas through complex dielectric measurement
Doctor of Philosophy (Ph.D.), Drexel University
Nov 2018
DOI:
https://doi.org/10.17918/b18p-sv62
Abstract
This work aims to explore a method for characterizing lossy, non-ideal conductors for use in antenna applications given the myriad emerging materials and fabrication techniques. A previously published paper details the use of onion-like carbon (OLC) and multi-walled carbon nanotube (MWCNT) films as radiating dipole antennas in the ubiquitous 2.4GHz frequency band (1). Though exhibiting clearly functional devices, the results were not predictable. Studies have attempted to characterize these materials for electronics applications, though at significantly lower frequencies pertaining to supercapacitor charge and discharge applications (2) (3) (4). These devices generally operate in the kilohertz regime, at frequencies orders of magnitude lower than the GHz regime relevant to the majority of modern communications devices. A material characterization technique is demonstrated and used to create a model to facilitate finite element simulation of carbon film antennas. The results of these finite element simulations from Ansoft High Frequency Structural Simulator (HFSS) are compared with the previously published OLC antenna results (1). Additional iterations of the model are then executed with varying dipole geometries and its efficacy analyzed versus measurements of antennas fabricated with these same dimensions. Results analysis shows excellent agreement in the fundamental frequency of antennas simulated with this model versus experimentally measured values.
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Details
- Title
- Predictive modeling of novel-material antennas through complex dielectric measurement
- Creators
- Nicholas A. Vacirca - DU
- Contributors
- Timothy P. Kurzweg (Advisor) - DUKapil R. Dandekar (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xi, 100 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Electrical (and Computer) Engineering [Historical]; Drexel University
- Other Identifier
- 9394; 991014632158804721