Numerical determination of the three‐dimensional velocity distribution in a baffled pitched blade impeller stirred vessel

Götz, Sven; Sperling, Reinhard; Liepe, Friedrich; Jembere, Solomon

doi:10.1002/ceat.270200905

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the rotation of the stirrers, the multiple reference frame (MRF) approach was utilized since these are steady-state simulations. A no-slip boundary condition was applied for all walls and a symmetry plane for the fluid surface [67,68]. For the pressurevelocity coupling, the Semi-Implicit Method for Pressure-Linked Equations (SIMPLE) algorithm was employed, which can be utilized in OpenFOAM using SIMPLEFOAM.…”

Section: Computational Fluid Dynamicsmentioning

confidence: 99%

Automated Shape and Process Parameter Optimization for Scaling Up Geometrically Non-Similar Bioreactors

Seidel,

Mozaffari,

Maschke

et al. 2023

Processes

View full text Add to dashboard Cite

Scaling bioprocesses remains a major challenge. Since it is physically impossible to increase all process parameters equally, a suitable scale-up strategy must be selected for a successful bioprocess. One of the most widely used criteria when scaling up bioprocesses is the specific power input. However, this represents only an average value. This study aims to determine the Kolmogorov length scale distribution by means of computational fluid dynamics (CFD) and to use it as an alternative scale-up criterion for geometrically non-similar bioreactors for the first time. In order to obtain a comparable Kolmogorov length scale distribution, an automated geometry and process parameter optimization was carried out using the open-source tools OpenFOAM and DAKOTA. The Kolmogorov–Smirnov test statistic was used for optimization. A HEK293-F cell expansion (batch mode) from benchtop (Infors Minifors 2 with 4 L working volume) to pilot scale (D-DCU from Sartorius with 30 L working volume) was carried out. As a reference cultivation, the classical scale-up approach with constant specific power input (233 W m−3) was used, where a maximum viable cell density (VCDmax) of 5.02·106 cells mL−1 was achieved (VCDmax at laboratory scale 5.77·106 cells mL−1). Through the automated optimization of the stirrer geometry (three parameters), position and speed, comparable cultivation results were achieved as in the small scale with a maximum VCD of 5.60·106 cells mL−1. In addition, even on the pilot scale, cell aggregate size distribution was seen to strictly follow a geometric distribution and can be predicted with the help of CFD with the previously published correlation.

show abstract

Section: Computational Fluid Dynamicsmentioning

confidence: 99%

Automated Shape and Process Parameter Optimization for Scaling Up Geometrically Non-Similar Bioreactors

Seidel,

Mozaffari,

Maschke

et al. 2023

Processes

View full text Add to dashboard Cite

show abstract

“…Harvey and Greaves attempted the two-dimensional numerical simulation of single-phase flow in a stirred tank by treating the impeller region as a “black box”. This approach was later adopted by most investigators in simulating the single-phase flow in stirred tanks. − Many new approaches not relying on experimental data and empirical formulas were attempted. Ranade and van den Akker and Ranade and Dommeti proposed a computational snapshot of the flow field at particular instant.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation on Gas Holdup and Flooding in an Aerated Stirred Tank with Rushton Impeller

Wang

Mao

Yang

2006

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

The spatial distribution of gas holdup in a stirred tank with a Rushton impeller and i.d. of 380 mm was measured by the fiber optic technique to show the different gas−liquid flow patterns including flooding. The data on loading/flooding transition are found consistent with the general correlation. The experiments were also simulated numerically by the Eulerian−Eulerian approach with the control volume formulation with the k−ε−A p two-phase turbulence model, and different flow patterns in the gas−liquid stirred tank were well demonstrated. It is found that the gas holdup in the impeller discharge stream is underpredicted, but in the broad bulk flow region the results of simulation are in good agreement with the experimental data.

show abstract

Literature

2001

Stirring

View full text Add to dashboard Cite

Numerical determination of the three‐dimensional velocity distribution in a baffled pitched blade impeller stirred vessel

Cited by 4 publications

References 9 publications

Automated Shape and Process Parameter Optimization for Scaling Up Geometrically Non-Similar Bioreactors

Automated Shape and Process Parameter Optimization for Scaling Up Geometrically Non-Similar Bioreactors

Experimental and Numerical Investigation on Gas Holdup and Flooding in an Aerated Stirred Tank with Rushton Impeller

Literature

Contact Info

Product

Resources

About