KIT | KIT-Bibliothek | Impressum | Datenschutz

NMR in Battery Anode Slurries with a V-Shaped Sensor

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

Abstract:

Inline analytics in industrial processes reduce operating costs and production rejection. Dedicated sensors enable inline process monitoring and control tailored to the application of interest. Nuclear Magnetic Resonance is a well-known analytical technique but needs adapting for low-cost, reliable and robust process monitoring. A V-shaped low-field NMR sensor was developed for inline process monitoring and allows non-destructive and non-invasive measurements of materials, for example in a pipe. In this paper, the industrial application is specifically devoted to the quality control of anode slurries in battery production. The characterization of anode slurries was performed with the sensor to determine chemical composition and detect gas inclusions. Additionally, flow properties play an important role in continuous production processes. Therefore, the in- and outflow effects were investigated with the V-shaped NMR sensor as a basis for the future determination of slurry flow fields.


Verlagsausgabe §
DOI: 10.5445/IR/1000171844
Veröffentlicht am 21.06.2024
Originalveröffentlichung
DOI: 10.3390/s24113353
Scopus
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Institut für Mechanische Verfahrenstechnik und Mechanik (MVM)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 1424-8220
KITopen-ID: 1000171844
Erschienen in Sensors
Verlag MDPI
Band 24
Heft 11
Seiten Art.-Nr.: 3353
Vorab online veröffentlicht am 23.05.2024
Nachgewiesen in Dimensions
Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page