Conference proceeding
Extraction of 3D Printed Material for Magnetically Tuned Frequency Selective Surfaces
2017 IEEE MTT-S INTERNATIONAL MICROWAVE AND RF CONFERENCE (IMARC), pp.110-112
IEEE MTT-S International Microwave and RF Conference
01 Jan 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A 3D additive printing process has been employed recently for manufacturing a wide variety of RF components on planar and conformal structures. The designing and modeling steps require an accurate extraction at RF frequencies of the electromagnetic properties of the PLA material used for 3D printing. The broadband extraction technique is based on the best fitting of the simulated (HFSS) S-parameters to the measured (VNA) S-parameters for microstrip transmission lines of different lengths. The microstrip transmission lines are modeled and fabricated on a combination of known RT/Duriod and unknown PLA materials to extract the dielectric constant and loss tangent of the PLA material. These extracted parameters are to be employed in designing a Frequency Selective Surface. An annular ring planar structure is designed based on the desired passband and stopband frequencies.
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Details
- Title
- Extraction of 3D Printed Material for Magnetically Tuned Frequency Selective Surfaces
- Creators
- K. Alhassoon - Drexel Univ, Dept ECE, Philadelphia, PA 19104 USAY. Malallah - Drexel Univ, Dept ECE, Philadelphia, PA 19104 USAA. Sarnaik - Drexel Univ, Dept ECE, Philadelphia, PA 19104 USAC. Kolwalkar - Drexel Univ, Dept ECE, Philadelphia, PA 19104 USAA. S. Daryoush - Drexel UniversityD. Tudor - UHV Technol Inc, NanoRANCH, 450 South Freeway, Ft Worth, TX 76104 USAN. Kumar - UHV Technol Inc, NanoRANCH, 450 South Freeway, Ft Worth, TX 76104 USAIEEE
- Publication Details
- 2017 IEEE MTT-S INTERNATIONAL MICROWAVE AND RF CONFERENCE (IMARC), pp.110-112
- Series
- IEEE MTT-S International Microwave and RF Conference
- Publisher
- IEEE
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019170487004721
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