Automated Resonant Waveguide Cavity for Complex Permittivity
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Solution Overview
Problem
Conventional methods for measuring complex permittivity are time-consuming, labor-intensive, and not suited for volatile materials, requiring extensive calibration and physical configurations, which limits their effectiveness in determining frequency-dependent permittivity values.
Innovation Solution
An automated resonant waveguide cavity system comprising a resonant cavity, a waveguide, a programmable network analyzer (PNA), and a computing device with a determination engine that integrates analytical and modeling functions to obtain and analyze data for complex permittivity measurements, utilizing a graphical user interface to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional measurement methods are used, then measurement accuracy can be maintained, but measurement time increases significantly and labor intensity increases
Solution Approach 1:
The system performs self-calibration through automated background subtraction, where the measurement system automatically characterizes and removes its own contributions to the signal. The determination engine autonomously processes raw data through analytical modeling to extract complex permittivity values without requiring manual calibration procedures, enabling the system to service itself and eliminate time-consuming calibration steps.
Solution Approach 2:
The patent replaces manual mechanical configuration and data analysis procedures with automated computational processing. The determination engine uses analytical modeling and algorithms to automatically process measurement data and calculate complex permittivity values, substituting the mechanical/manual operations with electronic/computational systems that operate faster and more consistently.
2Measurement precision
If conventional measurement methods are used, then measurement accuracy can be maintained, but labor intensity increases
Solution Approach 1:
The system autonomously performs background subtraction and data processing without requiring operator intervention. The determination engine automatically analyzes measurement data, applies analytical models, and extracts complex permittivity values, enabling the measurement system to service itself and eliminate the need for skilled manual operation and interpretation.
Solution Approach 2:
Manual data analysis and interpretation procedures are replaced with automated computational algorithms in the determination engine. The system uses computer-based analytical modeling to process raw measurement data and calculate complex permittivity values, substituting skilled manual operations with electronic systems that provide consistent, repeatable results without requiring specialized operator expertise.
3Reliability
If extensive calibration and physical configurations are performed, then measurement reliability can be ensured, but device complexity increases
Solution Approach 1:
The system performs self-calibration by automatically characterizing and subtracting background contributions from the measurement system itself. This self-service approach ensures measurement reliability by accounting for system-specific effects without requiring external calibration standards or complex configuration procedures, thereby maintaining accuracy while reducing operational complexity.
4Productivity
If automated data collection and analysis are implemented, then productivity increases, but device complexity increases
Solution Approach 1:
Manual measurement and analysis procedures are replaced with an automated determination engine that collects data, applies analytical models, and calculates complex permittivity values without human intervention. This substitution of manual operations with electronic/computational systems increases measurement throughput and productivity while the automation of complex analytical tasks actually reduces the need for skilled operators and simplifies the operational workflow.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables rapid and accurate determination of complex permittivity values, reducing measurement time from days to minutes and improving precision by automating data collection and analysis, particularly suitable for weakly absorbing materials and semi-transparent objects.
Implementation Method 1
resonant cavity
Implementation Method 2
waveguide coupled to the resonant cavity
Data Source
AI summary
An automated resonant waveguide cavity system for determining one or complex permittivity measurements of a sample is provided. The automated resonant waveguide cavity system includes a resonant cavity, a waveguide coupled to the resonant cavity, a programmable network analyzer (PNA) coupled to the waveguide, and a computing device. The computing device includes a memory storing processor executable code for a determination engine and a processor executing the processor executable code to cause the determination engine to obtain data from the PNA. The data is respective to the sample within the resonant cavity. The determination engine further integrates a plurality of analytical and modeling functions in determining the complex permittivity values of the sample from the data.