Electrical-Thermal Characterizations of SIW with Numerical SOC Technique

Zhou, Ling; Sun, Sheng; Jiang, Hongfei; Hu, Jun

doi:10.1109/compem.2018.8496574

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…This method requires a short-open calibration to remove the effect of the transition between the N-type circular coaxial cable and the rectangular coaxial fixture. Later, the method in [20,21] is used to obtain the propagation constant. Then, Equations (13)-(15) are used to compute the dielectric constant and loss tangent.…”

Section: Resultsmentioning

confidence: 99%

Two-Line Technique for Dielectric Material Characterization With Application in 3d-Printing Filament Electrical Parameters Extraction

Takach¹,

Moukanda²,

Ndagijimana³

et al. 2019

PIER M

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The literature lacks detailed information about the electrical properties of the plastic filaments used in 3D printing. This opens the way for research on characterizing the types of materials used in these filaments. In this work, a method for the extraction of the dielectric constant and loss tangent of materials is described. This method, which is suitable for characterizing any dielectric material, is then used to characterize 3D-printed samples based on different filament materials and infill densities over a very wide frequency range [0.02-10 GHz]. The selected materials are Polylactic Acid (PLA), Acrylonitrile Butadiene Styrene (ABS) and a semi-flex filament that combines two important features of flexibility and endurance. These three types are the most commonly used in 3D printing. The two-line technique is applied to extract the complex permittivity of the material under test (MUT) from the propagation constant. This method employs the uncalibrated scattering parameters with different types of transmission line for any characteristic impedance. A rectangular coaxial transmission-line fixture has been used to validate the theoretical work through simulations and measurements involving the 3D filament samples.

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Section: Resultsmentioning

confidence: 99%