Authors: | Gladius, Anoj Winston Mylenbusch, Jonas A. Agar, David William |
Title: | A computer vision sensor for the parallelization of actively regulated capillary slug flow microreactors |
Language (ISO): | en |
Abstract: | In this work, a computer vision sensor for the extraction of slug length, slug velocity and phase ratio from capillary liquid–liquid slug flows from video feeds in real-time, including the necessary post-processing algorithms, is developed. The developed sensor is shown to be capable of simultaneously monitoring multiple capillaries and provides reasonable accuracy at less than 3.5% mean relative error. Subsequently, the sensor is used for the control of a parallelized and actively regulated dual-channel slug flow capillary microreactor setup. As a model reaction, the solvent-free epoxidation of methyl oleate with hydrogen peroxide and a phase-transfer catalyst based on tungstophosphoric acid and a quaternary ammonium salt to yield the product 9,10-epoxystearic acid methyl ester is conducted. A space–time yield of 0.679 kg L−1 h−1 is achieved. |
Subject Headings: | Slug flow Flow sensor Machine learning Video imaging Computer vision Epoxidation Methyl oleate Parallelization Microreactor |
URI: | http://hdl.handle.net/2003/42411 http://dx.doi.org/10.17877/DE290R-24247 |
Issue Date: | 2023-09-11 |
Rights link: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | Lehrstuhl Chemische Verfahrenstechnik |
Files in This Item:
File | Description | Size | Format | |
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s42452-023-05489-3.pdf | DNB | 5.12 MB | Adobe PDF | View/Open |
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