Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns

An effective monitoring system for liquid-liquid extraction columns must evaluate key fluid dynamic properties such as Sauter mean diameter, the hold-up of the dispersed phase, and the drop sedimentation velocity to accurately estimate the available mass transfer area and the solvent residence time....

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Main Authors: Andreas Palmtag, Lorenz Lehmann, Leon Rojas Hanz, Uliana Kiseleva, Andreas Jupke
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Chemical Engineering Journal Advances
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666821125000249
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author Andreas Palmtag
Lorenz Lehmann
Leon Rojas Hanz
Uliana Kiseleva
Andreas Jupke
author_facet Andreas Palmtag
Lorenz Lehmann
Leon Rojas Hanz
Uliana Kiseleva
Andreas Jupke
author_sort Andreas Palmtag
collection DOAJ
description An effective monitoring system for liquid-liquid extraction columns must evaluate key fluid dynamic properties such as Sauter mean diameter, the hold-up of the dispersed phase, and the drop sedimentation velocity to accurately estimate the available mass transfer area and the solvent residence time. However, while many studies have focused on investigating the hold-up and the drop size distribution (DSD) studies on drop sedimentation remain scarce, often leading to its estimation based on the remaining fluid dynamic properties. In this work, we introduce a column monitoring system that enables a holistic assessment of the column operation based on all three fluid dynamic properties. For this purpose, we used the differential pressure method to determine the hold-up, and two telecentric camera setups to determine the Sauter mean diameter, and the drop sedimentation velocity. The camera images were processed by YOLOv8 for drop detection and the ByteTrack algorithm for drop tracking, achieving high accuracy on unseen data. In an extensive experimental study, we investigated the interdependency of the fluid dynamic properties at different operating conditions including flooding in a DN50 pulsed sieve tray extraction column. The obtained experimental data was used to parametrize a drop sedimentation model. Our findings indicate that assuming a constant swarm exponent in the model is inadequate, particularly at lower liquid loads.
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spelling doaj-art-2f309cdb8a36447aa2d1a61f0f37b4602025-08-20T02:05:07ZengElsevierChemical Engineering Journal Advances2666-82112025-05-012210072710.1016/j.ceja.2025.100727Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columnsAndreas Palmtag0Lorenz Lehmann1Leon Rojas Hanz2Uliana Kiseleva3Andreas Jupke4Fluid Process Engineering (AVT.FVT), RWTH Aachen University, Forckenbeckstraße 51, Aachen D-52074, GermanyFluid Process Engineering (AVT.FVT), RWTH Aachen University, Forckenbeckstraße 51, Aachen D-52074, GermanyFluid Process Engineering (AVT.FVT), RWTH Aachen University, Forckenbeckstraße 51, Aachen D-52074, GermanyFluid Process Engineering (AVT.FVT), RWTH Aachen University, Forckenbeckstraße 51, Aachen D-52074, GermanyCorresponding author.; Fluid Process Engineering (AVT.FVT), RWTH Aachen University, Forckenbeckstraße 51, Aachen D-52074, GermanyAn effective monitoring system for liquid-liquid extraction columns must evaluate key fluid dynamic properties such as Sauter mean diameter, the hold-up of the dispersed phase, and the drop sedimentation velocity to accurately estimate the available mass transfer area and the solvent residence time. However, while many studies have focused on investigating the hold-up and the drop size distribution (DSD) studies on drop sedimentation remain scarce, often leading to its estimation based on the remaining fluid dynamic properties. In this work, we introduce a column monitoring system that enables a holistic assessment of the column operation based on all three fluid dynamic properties. For this purpose, we used the differential pressure method to determine the hold-up, and two telecentric camera setups to determine the Sauter mean diameter, and the drop sedimentation velocity. The camera images were processed by YOLOv8 for drop detection and the ByteTrack algorithm for drop tracking, achieving high accuracy on unseen data. In an extensive experimental study, we investigated the interdependency of the fluid dynamic properties at different operating conditions including flooding in a DN50 pulsed sieve tray extraction column. The obtained experimental data was used to parametrize a drop sedimentation model. Our findings indicate that assuming a constant swarm exponent in the model is inadequate, particularly at lower liquid loads.http://www.sciencedirect.com/science/article/pii/S2666821125000249Multi-object trackingProcess monitoringLiquid-liquid extractionPulsed sieve tray extraction columnsYolov8Bytetrack
spellingShingle Andreas Palmtag
Lorenz Lehmann
Leon Rojas Hanz
Uliana Kiseleva
Andreas Jupke
Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns
Chemical Engineering Journal Advances
Multi-object tracking
Process monitoring
Liquid-liquid extraction
Pulsed sieve tray extraction columns
Yolov8
Bytetrack
title Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns
title_full Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns
title_fullStr Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns
title_full_unstemmed Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns
title_short Towards the digital extraction column: Online-monitoring and analysis of fluid dynamics in liquid-liquid extraction columns
title_sort towards the digital extraction column online monitoring and analysis of fluid dynamics in liquid liquid extraction columns
topic Multi-object tracking
Process monitoring
Liquid-liquid extraction
Pulsed sieve tray extraction columns
Yolov8
Bytetrack
url http://www.sciencedirect.com/science/article/pii/S2666821125000249
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