Documents disponibles écrits par cet auteur

Freeze-drying cycle optimization using model predictive control techniques / Roberto Pisano in Industrial & engineering chemistry research, Vol. 50 N° 12 (Juin 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 12 (Juin 2011) . - pp. 7363-7379 Titre : Freeze-drying cycle optimization using model predictive control techniques Type de document : texte imprimé Auteurs : Roberto Pisano, Auteur ; Davide Fissore, Auteur ; Antonello A. Barresi, Auteur Année de publication : 2011 Article en page(s) : pp. 7363-7379 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Predictive  control  Modeling  Optimization  Freeze  drying Résumé : The problem of process control in the field of pharmaceutical freeze drying is discussed, and a model predictive control (MPC) system is proposed to control, and optimize, in-line the primary drying step, beside preserving product quality. The controller can provide the optimal recipe for a given product, taking into account process constraints and modeling errors. Two control algorithms are proposed: the former manipulates both the chamber pressure and the temperature of the technical fluid, while the latter manipulates only the temperature of the fluid. The optimal formulation of the algorithms and the tuning of controller parameters are discussed by means of mathematical simulations. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24239052 [article] Freeze-drying cycle optimization using model predictive control techniques [texte imprimé] / Roberto Pisano, Auteur ; Davide Fissore, Auteur ; Antonello A. Barresi, Auteur . - 2011 . - pp. 7363-7379. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 12 (Juin 2011) . - pp. 7363-7379 Mots-clés : Predictive  control  Modeling  Optimization  Freeze  drying Résumé : The problem of process control in the field of pharmaceutical freeze drying is discussed, and a model predictive control (MPC) system is proposed to control, and optimize, in-line the primary drying step, beside preserving product quality. The controller can provide the optimal recipe for a given product, taking into account process constraints and modeling errors. Two control algorithms are proposed: the former manipulates both the chamber pressure and the temperature of the technical fluid, while the latter manipulates only the temperature of the fluid. The optimal formulation of the algorithms and the tuning of controller parameters are discussed by means of mathematical simulations. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24239052

Model - based framework for the analysis of failure consequences in a freeze - drying process / Davide Fissore in Industrial & engineering chemistry research, Vol. 51 N° 38 (Septembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 38 (Septembre 2012) . - pp. 12386-12397 Titre : Model - based framework for the analysis of failure consequences in a freeze - drying process Type de document : texte imprimé Auteurs : Davide Fissore, Auteur ; Roberto Pisano, Auteur ; Antonello A. Barresi, Auteur Année de publication : 2012 Article en page(s) : pp. 12386-12397 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Freeze  drying  Modeling Résumé : This paper shows how mathematical modeling can be used to assess the effect of process failures on product quality during the freeze-drying of pharmaceutical and biotech products. In particular, the model is used to calculate the product temperature response after an unexpected variation in the temperature of the heat transfer fluid and/or in the chamber pressure. Here a monodimensional model is used as it requires a limited number of parameters, which are the heat transfer coefficient and the product resistance to vapor flow. In this paper, the problem of determination of model parameters is addressed, with emphasis on the nonuniformity of the batch and on the uncertainty of the method of measurement used. The heat transfer coefficient was determined by gravimetric method, while the product resistance to vapor flow was measured by a weighing device placed directly in the chamber. Results obtained by the above devices agreed with the values estimated by the pressure rise test technique. This paper also shows how mathematical modeling can be used to calculate the probability that product temperature is maintained below its limit value, as well as to estimate the new duration for the primary drying. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26399690 [article] Model - based framework for the analysis of failure consequences in a freeze - drying process [texte imprimé] / Davide Fissore, Auteur ; Roberto Pisano, Auteur ; Antonello A. Barresi, Auteur . - 2012 . - pp. 12386-12397. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 38 (Septembre 2012) . - pp. 12386-12397 Mots-clés : Freeze  drying  Modeling Résumé : This paper shows how mathematical modeling can be used to assess the effect of process failures on product quality during the freeze-drying of pharmaceutical and biotech products. In particular, the model is used to calculate the product temperature response after an unexpected variation in the temperature of the heat transfer fluid and/or in the chamber pressure. Here a monodimensional model is used as it requires a limited number of parameters, which are the heat transfer coefficient and the product resistance to vapor flow. In this paper, the problem of determination of model parameters is addressed, with emphasis on the nonuniformity of the batch and on the uncertainty of the method of measurement used. The heat transfer coefficient was determined by gravimetric method, while the product resistance to vapor flow was measured by a weighing device placed directly in the chamber. Results obtained by the above devices agreed with the values estimated by the pressure rise test technique. This paper also shows how mathematical modeling can be used to calculate the probability that product temperature is maintained below its limit value, as well as to estimate the new duration for the primary drying. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26399690