| Titre : | Flow regime diagnosis in bubble columns via pressure fluctuations and computer-assisted radioactive particle tracking measurements (2009) |
| Auteurs : | María Sol Fraguío, Auteur ; Miryan C. Cassanello, Auteur ; Sujatha Degaleesan, Auteur ; Milorad Dudukovic, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 48 N°3, Février 2009) |
| Article en page(s) : | p. 1072–1080 |
| Note générale : | Chemical engineering |
| Langues : | Anglais |
| Tags : | Flow regime Bubble columns industrial column Radioactivite |
| Résumé : | The importance of diagnosing the flow regime in bubble columns by noninvasive and easy-to-implement methods is well-known. Hence, the aim of this work is to diagnose the flow regime in a pilot scale bubble column by comparing the attractor that gives the fingerprint of a tested underlying hydrodynamic condition against the attractor of a reference condition, using the statistical S test, developed by Diks et al.(1) The attractors are reconstructed from the time series of two characteristic variables: the trajectory of a liquid flow follower, determined by CARPT (computer-assisted particle tracking), and pressure fluctuations. Since CARPT fully maps the hydrodynamics in multiphase systems in a Lagrangian sense, the tracer particle trajectory time series is used to establish the optimal set of parameters required for the S test when analyzing pressure fluctuations. This work demonstrates that the same set of optimal parameters determined when applying the S test to CARPT experimental time series leads to successful flow regime identification when applying the global S test to pressure fluctuation signals detected at various locations. This validates the use of pressure fluctuation signals in industrial settings as an economic way to detect flow regimes. |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie800549d |
