Applicability of a modified breakage and coalescence model based on the complete turbulence spectrum concept for CFD simulation of gas-liquid mass transfer in a stirred tank reactor
Autor: | Hugo A. Jakobsen, Jannike Solsvik, Lilibeth Niño, Ricardo Gelves, Haider Ali |
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Rok vydání: | 2020 |
Předmět: |
Coalescence (physics)
Materials science Turbulence Applied Mathematics General Chemical Engineering Bubble Sauter mean diameter Multiphase flow 02 engineering and technology General Chemistry Mechanics 021001 nanoscience & nanotechnology Industrial and Manufacturing Engineering Rushton turbine Physics::Fluid Dynamics 020401 chemical engineering Mass transfer Turbulence kinetic energy 0204 chemical engineering 0210 nano-technology |
Zdroj: | Chemical Engineering Science. 211:115272 |
ISSN: | 0009-2509 |
DOI: | 10.1016/j.ces.2019.115272 |
Popis: | A generalized model for bubble breakage and coalescence is proposed using Computational Fluid Dynamics – CFD for considering the complete energy spectrum. An eulerian model and balance equations are simultaneously used to simulate the multiphase flow and bubble size distribution, respectively. The turbulent kinetic energy and its dissipation are calculated using the standard turbulence model k - e . A semi-empirical model that solves the second-order longitudinal structure function based on an interpolation function is coupled to CFD via UDF (User Defined Functions) code. CFD results are compared with experimental data obtained from Sauter mean diameter measurements at different bioreactor positions and stirred by a Rushton turbine. A reasonable prediction is obtained in comparison with the original Coulaloglou and Tavlarides (Break up) and Prince and Blanch (Coalescence) model. Further, the generalized model was extended to other stirring and aeration geometries using the same 10 litter tank bioreactor. The latter for evaluating strategies for overcoming gas-liquid mass transfer problems commonly found in bioreactors and a significant effect of the energy spectrum is reached in the geometries studied. The above, explained by the k L a oxygen transfer rate and bubble size determinations. It is numerically demonstrated that flow patterns and bubble size significantly influence the average k L a mass transfer in a bioreactor. |
Databáze: | OpenAIRE |
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