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Spatial Variation of Pressure in the Lyophilization Product Chamber Part 1: Computational Modeling.
Ganguly, Arnab; Varma, Nikhil; Sane, Pooja; Bogner, Robin; Pikal, Michael; Alexeenko, Alina.
Afiliação
  • Ganguly A; School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave, Neil Armstrong Hall, West Lafayette, IN, 47907, USA.
  • Varma N; School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave, Neil Armstrong Hall, West Lafayette, IN, 47907, USA.
  • Sane P; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, 06269, USA.
  • Bogner R; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, 06269, USA.
  • Pikal M; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, 06269, USA.
  • Alexeenko A; School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave, Neil Armstrong Hall, West Lafayette, IN, 47907, USA. alexeenk@purdue.edu.
AAPS PharmSciTech ; 18(3): 577-585, 2017 Apr.
Article em En | MEDLINE | ID: mdl-27151134
The flow physics in the product chamber of a freeze dryer involves coupled heat and mass transfer at different length and time scales. The low-pressure environment and the relatively small flow velocities make it difficult to quantify the flow structure experimentally. The current work presents the three-dimensional computational fluid dynamics (CFD) modeling for vapor flow in a laboratory scale freeze dryer validated with experimental data and theory. The model accounts for the presence of a non-condensable gas such as nitrogen or air using a continuum multi-species model. The flow structure at different sublimation rates, chamber pressures, and shelf-gaps are systematically investigated. Emphasis has been placed on accurately predicting the pressure variation across the subliming front. At a chamber set pressure of 115 mtorr and a sublimation rate of 1.3 kg/h/m2, the pressure variation reaches about 9 mtorr. The pressure variation increased linearly with sublimation rate in the range of 0.5 to 1.3 kg/h/m2. The dependence of pressure variation on the shelf-gap was also studied both computationally and experimentally. The CFD modeling results are found to agree within 10% with the experimental measurements. The computational model was also compared to analytical solution valid for small shelf-gaps. Thus, the current work presents validation study motivating broader use of CFD in optimizing freeze-drying process and equipment design.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenho de Equipamento / Liofilização Tipo de estudo: Prognostic_studies Idioma: En Revista: AAPS PharmSciTech Assunto da revista: FARMACOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenho de Equipamento / Liofilização Tipo de estudo: Prognostic_studies Idioma: En Revista: AAPS PharmSciTech Assunto da revista: FARMACOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos