Dr. SHAKER ALKARAKI SHAKER.ALKARAKI@NOTTINGHAM.AC.UK
Assistant Professor
Performance Comparison of Simple and Low Cost Metallization Techniques for 3D Printed Antennas at 10 GHz and 30 GHz
Alkaraki, Shaker; Gao, Yue; Munoz Torrico, Max O.; Stremsdoerfer, Samuel; Gayets, Edouard; Parini, Clive
Authors
Yue Gao
Max O. Munoz Torrico
Samuel Stremsdoerfer
Edouard Gayets
Clive Parini
Abstract
We investigate the performance of several metallization techniques for 3-D printed antennas at 10 and 30 GHz. The investigated techniques reduce the complexity and the overall cost of the metallization process. The first investigated technique is called Jet Metal Process which is a direct plating of silver ions through spray coating. The second and third techniques are through spray coating of the antennas using electromagnetic interference or radio frequency interference conductive aerosol paint consists of either copper or nickel particles. The final investigated technique is by brush painting the antennas using electrolube silver conductive paint. Simulation and measurement results show that the proposed techniques have a reasonable performance in both bands which qualifies them to be simple and low cost possible alternative of the electro-less plating for some antenna applications.
Citation
Alkaraki, S., Gao, Y., Munoz Torrico, M. O., Stremsdoerfer, S., Gayets, E., & Parini, C. (2018). Performance Comparison of Simple and Low Cost Metallization Techniques for 3D Printed Antennas at 10 GHz and 30 GHz. IEEE Access, 6, 64261-64269. https://doi.org/10.1109/ACCESS.2018.2874566
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 30, 2018 |
Online Publication Date | Oct 14, 2018 |
Publication Date | Oct 14, 2018 |
Deposit Date | Sep 4, 2023 |
Journal | IEEE Access |
Electronic ISSN | 2169-3536 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Pages | 64261-64269 |
DOI | https://doi.org/10.1109/ACCESS.2018.2874566 |
Keywords | General Engineering; General Materials Science; General Computer Science |
Public URL | https://nottingham-repository.worktribe.com/output/24577076 |
Publisher URL | https://ieeexplore.ieee.org/document/8492354 |
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