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An example of thermometry in volume by microwave radiometry
B Bocquet1, J C Van de Velde, A Mamouni
1Institut d'Electronique et de Microélectronique du Nord, Centre Hyperfrequences et Semiconducteurs, Université des Sciences et Technologies de Lille, Villeneuve d'Ascq, France.
IEEE Transactions on Bio-Medical Engineering
|September 1, 1993
Summary
This study presents a microwave radiometric method to determine the size, depth, and temperature of cylindrical thermal structures in water. The technique uses varying frequencies to accurately locate and quantify thermal anomalies.
Area of Science:
- Physics
- Engineering
- Materials Science
Background:
- Accurate characterization of embedded thermal structures is crucial for various applications.
- Non-invasive methods are needed for analyzing thermal anomalies in homogeneous materials.
- Microwave radiometry offers potential for subsurface temperature and dimension determination.
Purpose of the Study:
- To develop and validate a method for determining the size, depth, and temperature of cylindrical thermal structures.
- To utilize microwave radiometric imaging for non-invasive subsurface analysis.
- To establish a relationship between radiometric data at different frequencies and thermal structure parameters.
Main Methods:
- Employing microwave radiometric imaging at 3 GHz to locate the thermal structure.
- Using image thresholding to determine the structure's diameter (D).
- Calculating the depth (z) from the ratio of maximal radiometric intensities at 1.5 and 3 GHz.
- Combining dimensional data (D, z) and radiometric intensities to compute the temperature anomaly (ΔT).
Main Results:
- Successfully demonstrated a method for determining the dimensions (D, z) of a cylindrical thermal structure.
- Quantified the temperature anomaly (ΔT) of the embedded structure using radiometric data.
- Established the utility of multi-frequency microwave radiometry for subsurface thermal analysis in water.
Conclusions:
- The proposed microwave radiometric method provides an effective means for non-invasively characterizing embedded thermal structures.
- The technique allows for accurate determination of size, depth, and temperature anomaly.
- This approach has significant implications for monitoring and analysis in materials science and engineering.