Masters Theses
Keywords and Phrases
3D printing; Conductive lossy material; Frequency selective surface; Radiated emissions
Abstract
"This research presents an application of the resistive frequency selective surface (FSS) fabricated with a 3D printed conductive material as an electromagnetic absorber for the EMI-reducing door. This solution allows to reduce radiated emissions of a router system. The resistive frequency selective surface has a three-layer structure. The top layer is a 3D printed FSS pattern, the middle layer is an air gap, and the bottom layer is a metal plane.
The first paper presents the methodology for manufacturing a frequency selective surface using the 3D printing technology, including the material characterization, design, fabrication, and evaluation.
The unpublished content presents the results of applying the 3D printed resistive frequency surface to a mock up of a router system. The prototype is evaluated in terms of the reflection coefficient and total radiated power measurements. After that it is attached to the EMI-reducing door and tested on the router system mock up"--Abstract, page iv.
Advisor(s)
Beetner, Daryl G.
Committee Member(s)
Khilkevich, Victor
Kim, DongHyun (Bill)
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Publisher
Missouri University of Science and Technology
Publication Date
Summer 2021
Journal article titles appearing in thesis/dissertation
3D printed electromagnetic absorber built with conductive carbon-filled filament
Pagination
x, 38 pages
Note about bibliography
Includes bibliographic references.
Rights
© 2021 Rui Mi, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 11913
Electronic OCLC #
1286684379
Recommended Citation
Mi, Rui, "Design and evaluation of the 3D printed electromagnetic absorber built with conductive carbon-filled filament" (2021). Masters Theses. 7996.
https://scholarsmine.mst.edu/masters_theses/7996
Comments
This paper is based upon work supported partially by the National Science Foundation under Grant No. IIP-1916535.