Analysis of the Uncertainty in Measurements of Polymer Pellets Using Microwave Resonant Sensors

The analysis and evaluation of the uncertainty in microwave measurements of some polymer plastic materials in the form of small pellets is presented in this article. Two different resonant sensors, cavity and planar, operating around 2.45 GHz are used to measure the materials. The presented uncertainty analysis is based on the measured resonant parameters from the sensors and represents a statistical tool capable of generating relevant information such as an adequate number of tests, uncertainty levels, correlation coefficient, covariance matrix, and confidence ellipses, which can be highly useful in the analysis of pellet or grained materials using microwave methods, and for fast and accurate decisions involving materials evaluation. It will be shown that a number of 40 tests for each sample is adequate for a stable uncertainty, and due to the E-field distribution and interaction with the samples, the cavity sensor develops lower uncertainty in resonant frequency compared to the planar circuit, thus, it can be a more reliable sensor for polymer pellet measurements.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-11-05
DOI
https://doi.org/10.1109/jsen.2024.3488556
Primary Topic
Microwave and Dielectric Measurement Techniques
Type
article
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article

Analysis of the Uncertainty in Measurements of Polymer Pellets Using Microwave Resonant Sensors

Humberto Lobato‐Morales, Dania Covarrubias-Martínez, Gabriela Méndez‐Jerónimo, Alonso Corona‐Chávez et al.
IEEE Sensors Journal
Microwave and Dielectric Measurement Techniques
article

Analysis of the Uncertainty in Measurements of Polymer Pellets Using Microwave Resonant Sensors

Humberto Lobato‐Morales, Dania Covarrubias-Martínez, Gabriela Méndez‐Jerónimo, Alonso Corona‐Chávez, Juan Manuel Ramírez-Cortés, Germán A. Álvarez-Botero, Tejinder Kaur
article en

Abstract

The analysis and evaluation of the uncertainty in microwave measurements of some polymer plastic materials in the form of small pellets is presented in this article. Two different resonant sensors, cavity and planar, operating around 2.45 GHz are used to measure the materials. The presented uncertainty analysis is based on the measured resonant parameters from the sensors and represents a statistical tool capable of generating relevant information such as an adequate number of tests, uncertainty levels, correlation coefficient, covariance matrix, and confidence ellipses, which can be highly useful in the analysis of pellet or grained materials using microwave methods, and for fast and accurate decisions involving materials evaluation. It will be shown that a number of 40 tests for each sample is adequate for a stable uncertainty, and due to the E-field distribution and interaction with the samples, the cavity sensor develops lower uncertainty in resonant frequency compared to the planar circuit, thus, it can be a more reliable sensor for polymer pellet measurements.

IEEE Sensors JournalVol. 24(24)
Universidad Autónoma de la Ciudad de México (MX), Universidad Pública de Navarra (UPNA) (ES), National Institute of Astrophysics, Optics and Electronics (MX), Centro de Investigación Científica y de Educación Superior de Ensenada (MX), Universidad de Navarra (ES)
Affordable and clean energy
Openalex Percentile: Top 83%
Microwave and Dielectric Measurement Techniques
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