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一种用于工业微波干燥系统中聚合物泡沫水分检测的电磁时间反转成像算法。

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

作者信息

Omrani Adel, Yadav Rahul, Link Guido, Lähivaara Timo, Vauhkonen Marko, Jelonnek John

机构信息

Institute for Pulsed Power and Microwave Technology (IHM), Karlsruhe Institute of Technology (KIT), 76344 Eggenstein-Leopoldshafen, Germany.

Department of Applied Physics, University of Eastern Finland, FI-70210 Kuopio, Finland.

出版信息

Sensors (Basel). 2021 Nov 8;21(21):7409. doi: 10.3390/s21217409.

DOI:10.3390/s21217409
PMID:34770714
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8588238/
Abstract

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.

摘要

基于微波层析成像（MWT）的控制是聚合物泡沫干燥工业加热系统中的一个新想法。在这项工作中，使用固定天线阵列配置设计并开发了一个X波段MWT模块，并将其与HEPHAISTOS工业加热系统集成。利用具有多层介质适当格林函数的时间反转算子分解（DORT）算法来定位水分位置。导出的格林函数可应用于具有低对比度或高对比度层的介质。结果表明，采用所提出格林函数的时间反转成像（TRI）可应用于表面适度粗糙的多层介质。此外，还提出了单频TRI以减少测量时间。给出了不同水分场景的数值结果，以证明所提方法的有效性。然后，在我们开发的MWT实验原型针对不同水分场景的实验数据上对所开发方法进行了测试。图像重建结果表明，TRI算法在估计聚合物泡沫中水分位置方面具有良好的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/76bcfbe49dea/sensors-21-07409-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/1f562b28a8a3/sensors-21-07409-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/76bcfbe49dea/sensors-21-07409-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/c4cf04d50990/sensors-21-07409-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/55211dbc090a/sensors-21-07409-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/5d9e66d4f54d/sensors-21-07409-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/41f10180e9b4/sensors-21-07409-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/750efca66cf3/sensors-21-07409-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/9056a206582e/sensors-21-07409-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/1f562b28a8a3/sensors-21-07409-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/2f77ba1a3e06/sensors-21-07409-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/a0b3efae6375/sensors-21-07409-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/9114a27ca317/sensors-21-07409-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ecc/8588238/76bcfbe49dea/sensors-21-07409-g014.jpg

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