Documents disponibles écrits par cet auteur

Flow regime diagnosis in bubble columns via pressure fluctuations and computer-assisted radioactive particle tracking measurements / María Sol Fraguío in Industrial & engineering chemistry research, Vol. 48 N°3 (Février 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N°3 (Février 2009) . - p. 1072–1080 Titre : Flow regime diagnosis in bubble columns via pressure fluctuations and computer-assisted radioactive particle tracking measurements Type de document : texte imprimé Auteurs : María Sol Fraguío, Auteur ; Miryan C. Cassanello, Auteur ; Sujatha Degaleesan, Auteur ; Milorad Dudukovic, Auteur Année de publication : 2009 Article en page(s) : p. 1072–1080 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : 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 [article] Flow regime diagnosis in bubble columns via pressure fluctuations and computer-assisted radioactive particle tracking measurements [texte imprimé] / María Sol Fraguío, Auteur ; Miryan C. Cassanello, Auteur ; Sujatha Degaleesan, Auteur ; Milorad Dudukovic, Auteur . - 2009 . - p. 1072–1080. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N°3 (Février 2009) . - p. 1072–1080 Mots-clés : 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

From laboratory to field tomography / Zeljko Kuzeljevic in Industrial & engineering chemistry research, Vol. 50 N° 17 (Septembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 17 (Septembre 2011) . - pp. 9890-9900 Titre : From laboratory to field tomography : data collection and performance assessment Type de document : texte imprimé Auteurs : Zeljko Kuzeljevic, Auteur ; Milorad Dudukovic, Auteur ; Hugh Stitt, Auteur Année de publication : 2011 Article en page(s) : pp. 9890-9900 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Tomography Résumé : In field tomography, the total number of scan lines collected during imaging is usually limited. At the same time, the demands on the technique regarding resolution are low, corresponding to diagnostic purposes (e.g., presence or absence of maldistribution). In this study, we investigate the level of information needed for purpose of field diagnostics when using a fan beam tomography scanner. We utilize the theoretical framework of Fisher information content to examine dependence between projection data collection methodology and image quality. The findings are substantiated by experimental results obtained on suitable phantom designed to mimic maldistribution in packed bed. The performance of expectation-maximization and alternating-minimization image reconstruction algorithms for varying number of scan lines used is compared. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24483632 [article] From laboratory to field tomography : data collection and performance assessment [texte imprimé] / Zeljko Kuzeljevic, Auteur ; Milorad Dudukovic, Auteur ; Hugh Stitt, Auteur . - 2011 . - pp. 9890-9900. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 17 (Septembre 2011) . - pp. 9890-9900 Mots-clés : Tomography Résumé : In field tomography, the total number of scan lines collected during imaging is usually limited. At the same time, the demands on the technique regarding resolution are low, corresponding to diagnostic purposes (e.g., presence or absence of maldistribution). In this study, we investigate the level of information needed for purpose of field diagnostics when using a fan beam tomography scanner. We utilize the theoretical framework of Fisher information content to examine dependence between projection data collection methodology and image quality. The findings are substantiated by experimental results obtained on suitable phantom designed to mimic maldistribution in packed bed. The performance of expectation-maximization and alternating-minimization image reconstruction algorithms for varying number of scan lines used is compared. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24483632