Computational study of three-dimensional Lagrangian transport and mixing in a stirred tank reactor

Introduction of Novel Characteristic Time Quantities to Describe Chemical Reactors

“…The area of the steepest gradient in the y-direction can be found between the two stirrers, indicating a compartmentalisation at this point. This finding matches the experimental results from Fitschen [13] who proposed the observation of the propagation time and the numerical results from Weiland et al [18] who identified coherent sets with Lagrangian methods. The comparison of the values of the MDiT and the MDeT yields a high sensitivity to the feed positions.…”

“…The influence of another compartment can be seen in the results for feed position A. The lowest MDiT and MDeT are directly at the position of this other compartment, also covering the findings of Weiland et al [18].…”

“…The reason for this could be the fact that the position B is directly between two baffles. Weiland et al [18] have shown that at this position a compartment exists. With this dominant influence on the flow, the transport of species added here into other regions of the vessel is slowed strongly.…”

Validation of computational fluid dynamics of shake flask experiments at moderate viscosity by liquid distributions and volumetric power inputs

“…CFD is already routinely used for STRs with great success to calculate mixing times and inhomogeneities, the k L a, gas hold-up, volumetric power input and shear stress 3 – 13 . In contrast, CFD applications for small scale, shaken bioreactors, such as microtiter plates 14 – 18 and shake flasks 19 – 22 , are scarce in the scientific literature.…”