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  4. Employing a multi-resonance microwave sensor for in-line moisture monitoring of fluidized bed agglomeration
 
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Employing a multi-resonance microwave sensor for in-line moisture monitoring of fluidized bed agglomeration

Citation Link: https://doi.org/10.15480/882.13340
Publikationstyp
Journal Article
Date Issued
2024-09-23
Sprache
English
Author(s)
Stöckl, Gero  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Achutegui Narbona, Aitor  orcid-logo
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Stefan Bellinghausen  
Heinrich, Stefan  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
TORE-DOI
10.15480/882.13340
TORE-URI
https://hdl.handle.net/11420/49289
Journal
Chemical engineering journal  
Volume
499
Article Number
156053
Citation
Chemical Engineering Journal 499: 156053 (2024)
Publisher DOI
10.1016/j.cej.2024.156053
Scopus ID
2-s2.0-85204934049
Publisher
Elsevier
Peer Reviewed
true
Is Supplemented By
10.15480/882.13140
Amorphous substances are relatively common in food industry and their characteristics depend highly on the moisture content. Process parameters are adjusted based on online measurements to control the product quality of the agglomerates. This leads to two major challenges: precise moisture content measurements of amorphous particles at (i) different temperatures and for (ii) a wide moisture content range. In this study two workflows (inline fluidized bed and conditioned fixed bed) calibration of microwave sensors are compared and it is shown that for fluidized beds inline calibration is necessary to achieve accurate moisture measurements. The application of the novel microwave sensor MW 4200 working at resonance frequencies of 2.3 and 5.6 GHz is described. The temperature influence on the measurement is investigated with measurements of a fixed particle bed. Rapid, reliable in-process moisture control at a wide range of moisture contents and temperatures for agglomeration in fluidized beds, with a mean relative accuracy of 82 %, is achieved. This technology improves productivity and precision in industrial operations, minimizes waste and optimizes energy usage.
DDC Class
660: Chemistry; Chemical Engineering
Funding(s)
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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