Schmid Eric, Kontschak Louis, Nirschl Hermann, Guthausen Gisela
Institute of Mechanical Process Engineering and Mechanics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Chair of Water Chemistry and Water Technology, Engler-Bunte-Institut, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Sensors (Basel). 2024 May 23;24(11):3353. doi: 10.3390/s24113353.
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.
工业过程中的在线分析可降低运营成本和减少生产废品率。专用传感器可实现针对感兴趣应用的在线过程监测与控制。核磁共振是一种知名的分析技术，但需要进行改进以用于低成本、可靠且稳健的过程监测。开发了一种V形低场核磁共振传感器用于在线过程监测，可对材料进行无损和非侵入式测量，例如在管道中。在本文中，工业应用专门针对电池生产中阳极浆料的质量控制。使用该传感器对阳极浆料进行表征以确定化学成分并检测气体夹杂物。此外，流动特性在连续生产过程中起着重要作用。因此，以V形核磁共振传感器为基础研究了流入和流出效应，以便未来确定浆料流场。
