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Computational Fluid Dynamics data for improving freeze-dryers design
Computational Fluid Dynamics (CFD) can be used to simulate different parts of an industrial freeze-drying equipment and to properly design them; in particular data concerning the freeze-dryer chamber and the duct connecting the chamber with the condenser, with the valves and vanes eventually present...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140831/ https://www.ncbi.nlm.nih.gov/pubmed/30229001 http://dx.doi.org/10.1016/j.dib.2018.05.141 |
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author | Barresi, Antonello A. Marchisio, Daniele L. |
author_facet | Barresi, Antonello A. Marchisio, Daniele L. |
author_sort | Barresi, Antonello A. |
collection | PubMed |
description | Computational Fluid Dynamics (CFD) can be used to simulate different parts of an industrial freeze-drying equipment and to properly design them; in particular data concerning the freeze-dryer chamber and the duct connecting the chamber with the condenser, with the valves and vanes eventually present are given here, and can be used to understand the behavior of the apparatus allowing an improved design. Pilot and large scale freeze-drying chambers have been considered; data of a detailed simulation of a complete pilot scale apparatus, including duct and condenser, are included. Data on conductance of an empty duct with different L/D ratio, on disk valves with different geometry, and on mushroom valve are presented. Velocity, pressure, temperature and composition fields are reported on selected planes for chambers and valves. Results of dynamic simulations are also presented, to evaluate possible performance of monitoring devices in the chamber. Some further data, with detailed interpretation and discussion of the presented data can be found in the related research article by Barresi et al. [1] and Marchisio et al. [2]. |
format | Online Article Text |
id | pubmed-6140831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61408312018-09-18 Computational Fluid Dynamics data for improving freeze-dryers design Barresi, Antonello A. Marchisio, Daniele L. Data Brief Pharmacology, Toxicology and Pharmaceutical Science Computational Fluid Dynamics (CFD) can be used to simulate different parts of an industrial freeze-drying equipment and to properly design them; in particular data concerning the freeze-dryer chamber and the duct connecting the chamber with the condenser, with the valves and vanes eventually present are given here, and can be used to understand the behavior of the apparatus allowing an improved design. Pilot and large scale freeze-drying chambers have been considered; data of a detailed simulation of a complete pilot scale apparatus, including duct and condenser, are included. Data on conductance of an empty duct with different L/D ratio, on disk valves with different geometry, and on mushroom valve are presented. Velocity, pressure, temperature and composition fields are reported on selected planes for chambers and valves. Results of dynamic simulations are also presented, to evaluate possible performance of monitoring devices in the chamber. Some further data, with detailed interpretation and discussion of the presented data can be found in the related research article by Barresi et al. [1] and Marchisio et al. [2]. Elsevier 2018-05-31 /pmc/articles/PMC6140831/ /pubmed/30229001 http://dx.doi.org/10.1016/j.dib.2018.05.141 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Pharmacology, Toxicology and Pharmaceutical Science Barresi, Antonello A. Marchisio, Daniele L. Computational Fluid Dynamics data for improving freeze-dryers design |
title | Computational Fluid Dynamics data for improving freeze-dryers design |
title_full | Computational Fluid Dynamics data for improving freeze-dryers design |
title_fullStr | Computational Fluid Dynamics data for improving freeze-dryers design |
title_full_unstemmed | Computational Fluid Dynamics data for improving freeze-dryers design |
title_short | Computational Fluid Dynamics data for improving freeze-dryers design |
title_sort | computational fluid dynamics data for improving freeze-dryers design |
topic | Pharmacology, Toxicology and Pharmaceutical Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6140831/ https://www.ncbi.nlm.nih.gov/pubmed/30229001 http://dx.doi.org/10.1016/j.dib.2018.05.141 |
work_keys_str_mv | AT barresiantonelloa computationalfluiddynamicsdataforimprovingfreezedryersdesign AT marchisiodanielel computationalfluiddynamicsdataforimprovingfreezedryersdesign |