Title: Lift-off Dielectric Resonator Calibration, Measurement and Simulation Data

Citation
Hefford SJ, Clark N, Gumbleton R, et al. (2021). Lift-off Dielectric Resonator Calibration, Measurement and Simulation Data. Cardiff University. https://doi.org/10.17035/d.2020.0123834141

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2021

Data format: .xlsx

Estimated total storage size of dataset: Less than 100 megabytes

Number of Files In Dataset: 4

DOI : 10.17035/d.2020.0123834141

DOI URL: http://doi.org/10.17035/d.2020.0123834141

Description

Lift-Off Dielectric Resonators (LODRs) are a novel variation of the common open-ended dielectric resonator measurement setup where the dielectric position is manipulated. They comprise of a conducting cavity shield, and a dielectric puck. They are used to make measurements of microwave surface resistance of conducting end plates through measurement of the resonant frequency (f0) and unloaded Q-factor (Q0) by substituting these values into a characteristic equation. The characteristic equation is found by first determining geometric and energy filling factors for the geometry and then finding the associated conductor and dielectric loss factors through non-linear least squares curve fitting to measurement data of Q0 and f0 over a range of dielectric positions using an end plate made from the same material as the cavity shield.

Data is available in .xslx extension (Microsoft Excel) files for (3) simulated and (1) manufactured LODR fixtures. Within each set there are geometric and energy-filling factors and the necessary measurements of resonant frequency and unloaded Q-factor to perform calibration. The three simulated datasets make measurements of surface resistance for different measurement positions and sample conductivities to examine the probable effect on measurement accuracy. The manufactured LODR dataset makes measurements of surface resistance for 316L and ALSi10Mg surfaces manufactured both traditionally and by powder-bed fusion (PBF).

Research results are published at https://doi.org/10.1109/TIM.2020.3040834