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Détail de l'auteur
Auteur Dario Medina-Tellez
Documents disponibles écrits par cet auteur
Affiner la rechercheMarkov chain modeling of fluidized bed granulation incorporating simultaneous aggregation and breakage / Muammer Catak in Industrial & engineering chemistry research, Vol. 50 N° 18 (Septembre 2011)
[article]
in Industrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10811-10823
Titre : Markov chain modeling of fluidized bed granulation incorporating simultaneous aggregation and breakage Type de document : texte imprimé Auteurs : Muammer Catak, Auteur ; Kevin Cronin, Auteur ; Dario Medina-Tellez, Auteur Année de publication : 2011 Article en page(s) : pp. 10811-10823 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Aggregation Granulation Fluidized bed Fluidization Modeling Résumé : Fluidized bed granulation to achieve particle size enlargement is a significant process in chemical engineering. A key aim of the modeling of such a system is prediction of the evolution of the particle size distribution with time. The traditional tool to achieve this is through the use of population balances. This Article proposes an alternative modeling approach of Markov chain, which is a well-known tool in stochastic theory. Specifically, in this Article, it is employed to model bottom spray Wurster type fluidized bed granulation and a one-dimensional chain where the particle size is the state variable was used. Three important elements of Markov chains are the initial state vector a(t), the transition time step τ, and the transition matrix P. The transition matrix was assembled from consideration of breakage and aggregation dynamics. Experiments were conducted to validate the approach using glass beads as the elementary particles and polyethylene glycol as the liquid binder. From the results, it is shown that the Markov chain method is an efficient and accurate tool to analyze the particle size evolution of a size enlargement process. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523898 [article] Markov chain modeling of fluidized bed granulation incorporating simultaneous aggregation and breakage [texte imprimé] / Muammer Catak, Auteur ; Kevin Cronin, Auteur ; Dario Medina-Tellez, Auteur . - 2011 . - pp. 10811-10823.
Chimie industrielle
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10811-10823
Mots-clés : Aggregation Granulation Fluidized bed Fluidization Modeling Résumé : Fluidized bed granulation to achieve particle size enlargement is a significant process in chemical engineering. A key aim of the modeling of such a system is prediction of the evolution of the particle size distribution with time. The traditional tool to achieve this is through the use of population balances. This Article proposes an alternative modeling approach of Markov chain, which is a well-known tool in stochastic theory. Specifically, in this Article, it is employed to model bottom spray Wurster type fluidized bed granulation and a one-dimensional chain where the particle size is the state variable was used. Three important elements of Markov chains are the initial state vector a(t), the transition time step τ, and the transition matrix P. The transition matrix was assembled from consideration of breakage and aggregation dynamics. Experiments were conducted to validate the approach using glass beads as the elementary particles and polyethylene glycol as the liquid binder. From the results, it is shown that the Markov chain method is an efficient and accurate tool to analyze the particle size evolution of a size enlargement process. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523898