Gas-liquid mass transfer and bubble size distribution in a multi-Cyclone separator

AIChE Journal ◽  
2018 ◽  
Vol 65 (1) ◽  
pp. 221-229 ◽  
Author(s):  
Xiao Xu ◽  
Hao Lu ◽  
Yundong Qian ◽  
Bohan Zhang ◽  
Hualin Wang ◽  
...  
Keyword(s):  
Mass Transfer ◽  
Size Distribution ◽  
Bubble Size ◽  
Bubble Size Distribution ◽  
Cyclone Separator ◽  
Liquid Mass ◽  
Liquid Mass Transfer

Influence of salinity on bubble size distribution and gas–liquid mass transfer in airlift contactors

2008 ◽  
Vol 141 (1-3) ◽  
pp. 222-232 ◽  
Author(s):  
Duangkamol Ruen-ngam ◽  
Porntip Wongsuchoto ◽  
Apiradee Limpanuphap ◽  
Tawatchai Charinpanitkul ◽  
Prasert Pavasant
Keyword(s):  
Mass Transfer ◽  
Size Distribution ◽  
Bubble Size ◽  
Bubble Size Distribution ◽  
Liquid Mass ◽  
Liquid Mass Transfer

Parametric numerical study and optimization of mass transfer and bubble size distribution in a gas-liquid stirred tank bioreactor equipped with Rushton turbine using computational fluid dynamics

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sanaz Salehi ◽  
Amir Heydarinasab ◽  
Farshid Pajoum Shariati ◽  
Ali Taghvaie Nakhjiri ◽  
Kourosh Abdollahi
Keyword(s):  
Fluid Dynamics ◽  
Mass Transfer ◽  
Computational Fluid Dynamics ◽  
Transfer Coefficient ◽  
Size Distribution ◽  
Bubble Size ◽  
Bubble Size Distribution ◽  
Stirred Tank ◽  
Operating Parameters ◽  
Stirred Tank Bioreactor

Abstract Designing and optimizing a bioreactor can be an especially challenging process. Computational modelling is an effective tool to investigate the effects of various operating parameters on bioreactor performance and identify the optimum ones. In this work, a computational fluid dynamics-population balance model (CFD-PBM) was developed to elucidate the effect of different geometrical and operating parameters on the hydrodynamics and mass transfer coefficient of a batch stirred tank bioreactor. The validated model was projected to predict the effect of different parameters including the gas flow rate, the impeller off-bottom clearance, the number of agitator blades, and rotational speed of the impeller on the velocity profiles, air volume fraction, bubble size distribution, and the local gas mass transfer coefficient (K l a) in the bioreactor. Air bubble breakup and coalescence phenomena were considered in all simulations. Factorial experimental design approach was employed to statistically investigate the impacts of the aforementioned operating and geometrical parameters on K l a and bubble size distribution in the bioreactor in order to determine the most significant parameters. This can give an essential insight into the most impactful factors when it comes to designing and scaling up a bioreactor.

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