Simulating gas-liquid mass transfer in a spin filter bioreactor

RESUMEN: Computational fluid dynamics (CFD) and population balance model (PBM) model have been used to simulate hydrodynamics and mass transfer in a 0.014 m3 Spin Filter Bioreactor. The operating conditions chosen were defined by typical settings used for culturing plant cells. Turbulence, rotating...

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Autores:
Gelves Zambrano, Germán Ricardo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/5988
Acceso en línea:
http://hdl.handle.net/10495/5988
Palabra clave:
Transferencia de masa
Bioreactores
Dinámica de fluidos
Hidrodinámica
Procesos biológicos
Escalado de procesos
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
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dc.title.spa.fl_str_mv Simulating gas-liquid mass transfer in a spin filter bioreactor
dc.title.translated.spa.fl_str_mv Simulación de la transferencia de masa en un biorreactor de perfusión operado con un filtro rotativo
title Simulating gas-liquid mass transfer in a spin filter bioreactor
spellingShingle Simulating gas-liquid mass transfer in a spin filter bioreactor
Transferencia de masa
Bioreactores
Dinámica de fluidos
Hidrodinámica
Procesos biológicos
Escalado de procesos
title_short Simulating gas-liquid mass transfer in a spin filter bioreactor
title_full Simulating gas-liquid mass transfer in a spin filter bioreactor
title_fullStr Simulating gas-liquid mass transfer in a spin filter bioreactor
title_full_unstemmed Simulating gas-liquid mass transfer in a spin filter bioreactor
title_sort Simulating gas-liquid mass transfer in a spin filter bioreactor
dc.creator.fl_str_mv Gelves Zambrano, Germán Ricardo
dc.contributor.author.none.fl_str_mv Gelves Zambrano, Germán Ricardo
dc.contributor.researchgroup.spa.fl_str_mv Bioprocesos
dc.subject.none.fl_str_mv Transferencia de masa
Bioreactores
Dinámica de fluidos
Hidrodinámica
Procesos biológicos
Escalado de procesos
topic Transferencia de masa
Bioreactores
Dinámica de fluidos
Hidrodinámica
Procesos biológicos
Escalado de procesos
description RESUMEN: Computational fluid dynamics (CFD) and population balance model (PBM) model have been used to simulate hydrodynamics and mass transfer in a 0.014 m3 Spin Filter Bioreactor. The operating conditions chosen were defined by typical settings used for culturing plant cells. Turbulence, rotating flow, bubbles breakage and coalescence were simulated by using the k-e, MRF (Multiple Reference Frame) and PBM approaches, respectively. The numerical results from different operational conditions are compared with experimental data obtained from measurements and good fitting data is achieved. Interested by these simulated and experimental results CFD simulations are qualified as a very promising tool not only for predicting gas-liquid hydrodynamics but also for finding design requirements that must be implemented to optimize an aerobic bioprocessing useful for plant cell culture applications which are characterized by the constrain of achieving relatively high mass transfer conditions and avoiding cellular damage due to hydrodynamic conditions.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2017-01-10T17:13:10Z
dc.date.available.none.fl_str_mv 2017-01-10T17:13:10Z
dc.type.spa.fl_str_mv Artículo de investigación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.identifier.citation.spa.fl_str_mv L. C. Niño and G. R. Gelves, "Simulating gas-liquid mass transfer in a spin filter bioreactor", Rev. Fac. Ing. Univ. Antioquia, no. 75, pp. 163-174, 2015.
dc.identifier.issn.none.fl_str_mv 0120-6230
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/5988
dc.identifier.doi.none.fl_str_mv 10.17533/udea.redin.n75a16
dc.identifier.eissn.none.fl_str_mv 2422-2844
identifier_str_mv L. C. Niño and G. R. Gelves, "Simulating gas-liquid mass transfer in a spin filter bioreactor", Rev. Fac. Ing. Univ. Antioquia, no. 75, pp. 163-174, 2015.
0120-6230
10.17533/udea.redin.n75a16
2422-2844
url http://hdl.handle.net/10495/5988
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Rev. Fac. Ing. Univ. Antioquia
dc.relation.citationendpage.spa.fl_str_mv 174
dc.relation.citationissue.spa.fl_str_mv 75
dc.relation.citationstartpage.spa.fl_str_mv 163
dc.relation.ispartofjournal.spa.fl_str_mv Revista Facultad de Ingeniería Universidad de Antioquia
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dc.publisher.spa.fl_str_mv Universidad de Antioquia, Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv Medellín, Colombia
institution Universidad de Antioquia
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spelling Gelves Zambrano, Germán RicardoBioprocesos2017-01-10T17:13:10Z2017-01-10T17:13:10Z2015L. C. Niño and G. R. Gelves, "Simulating gas-liquid mass transfer in a spin filter bioreactor", Rev. Fac. Ing. Univ. Antioquia, no. 75, pp. 163-174, 2015.0120-6230http://hdl.handle.net/10495/598810.17533/udea.redin.n75a162422-2844RESUMEN: Computational fluid dynamics (CFD) and population balance model (PBM) model have been used to simulate hydrodynamics and mass transfer in a 0.014 m3 Spin Filter Bioreactor. The operating conditions chosen were defined by typical settings used for culturing plant cells. Turbulence, rotating flow, bubbles breakage and coalescence were simulated by using the k-e, MRF (Multiple Reference Frame) and PBM approaches, respectively. The numerical results from different operational conditions are compared with experimental data obtained from measurements and good fitting data is achieved. Interested by these simulated and experimental results CFD simulations are qualified as a very promising tool not only for predicting gas-liquid hydrodynamics but also for finding design requirements that must be implemented to optimize an aerobic bioprocessing useful for plant cell culture applications which are characterized by the constrain of achieving relatively high mass transfer conditions and avoiding cellular damage due to hydrodynamic conditions.ABSTRACT: Mediante dinámica de fluidos computacional (CFD) y métodos de balance poblacional (PBM) se simuló la hidrodinámica líquido-gaseosa y la transferencia de masa en un biorreactor de 0,014 m3 operado con un Spin Filter para cultivos en modo perfusión. Las condiciones de operación fueron definidas con base en los requerimientos para células vegetales en suspensión. Los fenómenos de turbulencia, flujo giratorio, ruptura y coalescencia de burbujas fueron simulados utilizando los modelos k-e, MRF (Multiple Reference Frame) y PBM. Se logra una predicción aceptable mediante la comparación entre los resultados numéricos de las diferentes condiciones de operación y los datos experimentales de los valores del coeficiente de transferencia de masa Con la motivación de estos resultados simulados y validados experimentalmente, se observa que CFD puede ser una herramienta muy prometedora, no sólo para la predicción de la hidrodinámica líquido-gaseosa, sino también para encontrar los requisitos de diseño que se deben implementar para optimizar un proceso biológico aerobio útil para aplicaciones de cultivos celulares de plantas, que son comúnmente caracterizados por el requerimiento de mantener condiciones relativamente altas tasa de transferencia de masa y simultáneamente evitar el daño celular debido a las condiciones hidrodinámicas.11application/pdfengUniversidad de Antioquia, Facultad de IngenieríaMedellín, Colombiahttps://creativecommons.org/licenses/by-nc-sa/4.0/https://creativecommons.org/licenses/by-nc-sa/2.5/co/Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Transferencia de masaBioreactoresDinámica de fluidosHidrodinámicaProcesos biológicosEscalado de procesosSimulating gas-liquid mass transfer in a spin filter bioreactorSimulación de la transferencia de masa en un biorreactor de perfusión operado con un filtro rotativoArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRev. Fac. Ing. Univ. 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