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From Eyes to Cameras to Kinetics: Computer Vision for Chemical Process Monitoring Click to copy article link Article link copied!
Mixing characterization is a longstanding challenge in chemical engineering, and a variety of experimental and computational methods have been developed. Planar laser-induced fluorescence (PLIF), (87) particle image velocimetry (PIV), (88) and electrical resistance tomography (ERT) (89) are among the established techniques for interrogating mixing fields. Computational fluid dynamics (CFD) simulations provide complementary spatial resolution.
From Eyes to Cameras to Kinetics: Computer Vision for Chemical Process Monitoring Click to copy article link Article link copied!
Key References Click to copy section linkSection link copied! Barrington, H.; McCabe, T. J. D.; Donnachie, K.; Fyfe, C.; McFall, A.; Gladkikh, M.; McGuire, J.; Yan, C.; Reid, M. Parallel and High Throughput Reaction Monitoring with Computer Vision. Angew. Chem. Int. Ed. 2025, 64, e202413395. (8) Kinetics from reactions on well plates or side-by-side. Yan, C.; Cowie, M.; Howcutt, C.; Wheelhouse, K. M. P.; Hodnett, N. S.; Kollie, M.; Gildea, M.; Goodfellow, M. H.; Reid, M.
A Computer Vision Approach toward Verifying CFD Models of Stirred Tank Reactors
Organic Process Research & Development Cite this: Org. Process Res. Dev. 2024, XXXX, XXX Click to copy citationCitation copied! . This publication is licensed under CC-BY 4.0 . You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
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