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An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave
Adel Omrani1, Rahul Yadav2, Guido Link1
1Institute for Pulsed Power and Microwave Technology (IHM), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.
Sensors (Basel, Switzerland)
|November 13, 2021
Summary
This study introduces microwave tomography (MWT) for industrial polymer foam drying. The developed time-reversal imaging (TRI) method accurately locates moisture in multilayered materials, enhancing industrial heating control.
Area of Science:
- Electromagnetics and Applied Physics
- Materials Science and Engineering
- Industrial Process Control
Background:
- Industrial heating systems for polymer foam drying require precise control over moisture distribution.
- Existing methods may lack the resolution or adaptability for complex material structures.
- Microwave tomography (MWT) offers a potential non-invasive solution for internal property mapping.
Purpose of the Study:
- To design and develop an X-band MWT module for integration with an industrial heating system (HEPHAISTOS).
- To adapt and apply the decomposition of the time-reversal operator (DORT) algorithm for accurate moisture localization in multilayered polymer foam.
- To validate the efficacy of the developed MWT system and algorithm through numerical simulations and experimental data.
Main Methods:
- Design and development of an X-band MWT module with a fixed antenna array.
- Implementation of the DORT algorithm utilizing a Green's function for multilayered media.
- Application of time-reversal imaging (TRI) for moisture localization, including a single-frequency approach to reduce measurement time.
- Testing with numerical simulations and experimental data from a custom MWT prototype.
Main Results:
- The developed Green's function is applicable to multilayered media with varying contrast and moderately rough surfaces.
- Numerical simulations demonstrated the method's efficacy across different moisture scenarios.
- Experimental validation confirmed the TRI algorithm's capability in accurately estimating moisture locations in polymer foam.
Conclusions:
- The integrated MWT system and DORT-based TRI algorithm show significant promise for advanced control in industrial polymer foam drying.
- The proposed method offers a robust solution for non-invasively mapping internal moisture distribution in complex materials.
- Further development could lead to optimized industrial heating processes and improved product quality.
Keywords:
dyadic Green’s functionmicrowave dryingmicrowave tomographymultilayered mediatime-reversal imaging
