Projects per year
Abstract
Mixing is one of the most important nonchemical considerations in the design of scalable processes. While noninvasive imaging approaches to deliver a quantifiable understanding of mixing dynamics are well-known, the use of imaging to verify computational fluid dynamics (CFD) models remains in its infancy. Herein, we use colorimetric reactions and our kinetic imaging software, Kineticolor, to explore (i) the correlation of imaging kinetics with pH probe measurements, (ii) feed point sensitivity for Villermaux-Dushman-type competing parallel reactions, and (iii) the use of experimental imaging kinetic data to qualitatively assess CFD models. We report further evidence that the influences of the stirring rate, baffle presence, and feed position on mixing in a tank reactor can be informatively captured with a camcorder and help experimentally verify CFD models. Overall, this work advances scarce little precedent in demonstrating the use of computer vision to verify CFD models of fluid flow in tank reactors.
Original language | English |
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Pages (from-to) | 3661-3673 |
Number of pages | 13 |
Journal | Organic Process Research and Development |
Volume | 28 |
Issue number | 9 |
Early online date | 30 Aug 2024 |
DOIs | |
Publication status | Published - 20 Sept 2024 |
Keywords
- mixing
- computer vision
- CFD
- kinetics
- imaging
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Dive into the research topics of 'A computer vision approach towards verifying CFD models of stirred tank reactors'. Together they form a unique fingerprint.Projects
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Computer Vision for Analytical Chemistry (CVAC): Scalable Productivity for Chemical Manufacturing- UKRI Future Leaders Fellowship
Reid, M. (Fellow)
MRC (Medical Research Council)
1/02/21 → 31/01/28
Project: Research Fellowship