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Characterization of Flow with a V-Shaped NMR Sensor

Schmid, Eric 1; Pertzel, Tim Oliver 2; Nirschl, Hermann 1; Guthausen, Gisela ORCID iD icon 3
1 Institut für Mechanische Verfahrenstechnik und Mechanik (MVM), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Engler-Bunte-Institut (EBI), Karlsruher Institut für Technologie (KIT)

Abstract:

Quality control in a production plant shows its maximum potential in the form of inline measurements. Defects and imperfections can be detected early and directly, and waste and costs can be reduced. Nuclear Magnetic Resonance offers a wide range of applications but requires dedicated adaptation to the respective process and material conditions. A V-shaped low-field NMR sensor was developed for non-invasive inline measurements on anode slurries in a battery production plant. In battery production, inline monitoring of the quality of anode slurries is demanded, offering the possibility of predictive control of the following process steps. Methods of low-field NMR to determine flow properties were adapted to the desired application. Further, magnetic resonance imaging measurements were made to determine the flow properties of model substances and anode slurries, thus providing verification. The sensor measurements show the ability to measure the flow behavior of, amongst other fluids, anode slurries in a form suitable for inline quality control in a battery production plant.


Verlagsausgabe §
DOI: 10.5445/IR/1000175878
Veröffentlicht am 04.11.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.10.2024
Sprache Englisch
Identifikator ISSN: 1424-8220
KITopen-ID: 1000175878
Erschienen in Sensors
Verlag MDPI
Band 24
Heft 19
Seiten 6163
Vorab online veröffentlicht am 24.09.2024
Schlagwörter low-field NMR; inline process monitoring; NMR sensor; battery slurries; flow NMR; MRI
Nachgewiesen in Web of Science
Dimensions
Scopus
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