An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System

Microwave tomography (MWT) based control is a novel idea in industrial heating systems for drying polymer foam. In this work, an X-band MWT module is designed and developed using a fixed antenna array configuration and integrated with the HEPHAISTOS industrial heating system. A decomposition of the...

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Autores principales:	Adel Omrani, Rahul Yadav, Guido Link, Timo Lähivaara, Marko Vauhkonen, John Jelonnek
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	microwave drying microwave tomography time-reversal imaging dyadic Green’s function multilayered media Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/10f4fd77dedf421182030191c82e58c4
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id	oai:doaj.org-article:10f4fd77dedf421182030191c82e58c4
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spelling	oai:doaj.org-article:10f4fd77dedf421182030191c82e58c42021-11-11T19:19:45ZAn Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System10.3390/s212174091424-8220https://doaj.org/article/10f4fd77dedf421182030191c82e58c42021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7409https://doaj.org/toc/1424-8220Microwave tomography (MWT) based control is a novel idea in industrial heating systems for drying polymer foam. In this work, an X-band MWT module is designed and developed using a fixed antenna array configuration and integrated with the HEPHAISTOS industrial heating system. A decomposition of the time-reversal operator (DORT) algorithm with a proper Green’s function of multilayered media is utilized to localize the moisture location. The derived Green’s function can be applied to the media with low or high contrast layers. It is shown that the time-reversal imaging (TRI) with the proposed Green’s function can be applied to the multilayered media with a moderately rough surface. Moreover, a single frequency TRI is proposed to decrease the measurement time. Numerical results for different moisture scenarios are presented to demonstrate the efficacy of the proposed method. The developed method is then tested on the experimental data for different moisture scenarios from our developed MWT experimental prototype. Image reconstruction results show promising capabilities of the TRI algorithm in estimating the moisture location in the polymer foam.Adel OmraniRahul YadavGuido LinkTimo LähivaaraMarko VauhkonenJohn JelonnekMDPI AGarticlemicrowave dryingmicrowave tomographytime-reversal imagingdyadic Green’s functionmultilayered mediaChemical technologyTP1-1185ENSensors, Vol 21, Iss 7409, p 7409 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	microwave drying microwave tomography time-reversal imaging dyadic Green’s function multilayered media Chemical technology TP1-1185
spellingShingle	microwave drying microwave tomography time-reversal imaging dyadic Green’s function multilayered media Chemical technology TP1-1185 Adel Omrani Rahul Yadav Guido Link Timo Lähivaara Marko Vauhkonen John Jelonnek An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
description	Microwave tomography (MWT) based control is a novel idea in industrial heating systems for drying polymer foam. In this work, an X-band MWT module is designed and developed using a fixed antenna array configuration and integrated with the HEPHAISTOS industrial heating system. A decomposition of the time-reversal operator (DORT) algorithm with a proper Green’s function of multilayered media is utilized to localize the moisture location. The derived Green’s function can be applied to the media with low or high contrast layers. It is shown that the time-reversal imaging (TRI) with the proposed Green’s function can be applied to the multilayered media with a moderately rough surface. Moreover, a single frequency TRI is proposed to decrease the measurement time. Numerical results for different moisture scenarios are presented to demonstrate the efficacy of the proposed method. The developed method is then tested on the experimental data for different moisture scenarios from our developed MWT experimental prototype. Image reconstruction results show promising capabilities of the TRI algorithm in estimating the moisture location in the polymer foam.
format	article
author	Adel Omrani Rahul Yadav Guido Link Timo Lähivaara Marko Vauhkonen John Jelonnek
author_facet	Adel Omrani Rahul Yadav Guido Link Timo Lähivaara Marko Vauhkonen John Jelonnek
author_sort	Adel Omrani
title	An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
title_short	An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
title_full	An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
title_fullStr	An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
title_full_unstemmed	An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System
title_sort	electromagnetic time-reversal imaging algorithm for moisture detection in polymer foam in an industrial microwave drying system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/10f4fd77dedf421182030191c82e58c4
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An Electromagnetic Time-Reversal Imaging Algorithm for Moisture Detection in Polymer Foam in an Industrial Microwave Drying System

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