CFD Prediction of Heterogeneities in the Scale up of Liquid-Liquid Dispersions

In this work simulations were developed in order to allow the examinations of heterogeneities in the scale up of liquid-liquid dispersions (oil-water) in 3 and 300 L stirred tank bioreactors using CFD simulations (Computational Fluid Dynamics). The effects of turbulence, rotating flow, drop breakage...

Full description

Autores:
Niño Lopez, Lilibet Caridad
Gelves Zambrano, Germán Ricardo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2014
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/46336
Acceso en línea:
https://hdl.handle.net/10495/46336
Palabra clave:
Dinámica de fluidos computacional
Computational fluid dynamics
Biorreactores - Dinámica de fluidos
Bioreactors - Fluid dynamics
Hidrodinámica
Hydrodynamics
Bioreactors
Biorreactor
http://aims.fao.org/aos/agrovoc/c_27469
http://id.loc.gov/authorities/subjects/sh2007008173
http://id.loc.gov/authorities/subjects/sh88004258
Rights
openAccess
License
http://creativecommons.org/licenses/by/4.0/
Description
Summary:In this work simulations were developed in order to allow the examinations of heterogeneities in the scale up of liquid-liquid dispersions (oil-water) in 3 and 300 L stirred tank bioreactors using CFD simulations (Computational Fluid Dynamics). The effects of turbulence, rotating flow, drop breakage were simulated by using the k-e, MRF (Multiple Reference Frame) and PBM (Population Balance Model), respectively, providing detailed information of important bioreactor conditions. CFD modeling predicts with good approach hydrodynamic trends which can affect the liquid-liquid dispersion process of large scale bioreactors. Motivated by these results, CFD simulations are qualified as a very promising tool for predicting hydrodynamics and drop sizes especially useful for liquid-liquid applications which are characterized by the challenging problem of emulsion stability due to undesired drop and heterogeneities in the scale up process.