Abstract:Numerical simulations based on the RANS model are known to have drawbacks of low accuracy in predicting the turbulence quantities of the flow fields in stirred tanks. For this purpose, the detached eddy simulation (DES) model was employed to simulate the turbulent flow in an unbaffled dish-bottom stirred tank. The free-surface deformation was modelled by the volume of fluid (VOF)
11. The results show that the predicted surface profiles using the combination of DES and VOF are generally better than their count… Show more
“…The interfacial behavior was successfully captured. Yang and Zhou used the combination of Spalart‐Allmaras based DES and VOF model in the study of the free‐surface turbulent flow in a concentrically unbaffled dished‐bottom stirred tank. The superiority of DES in the prediction of the free‐surface hydrodynamics in stirred tanks was confirmed.…”
This work aims at a reliable prediction of the flow dynamics in stirred tanks. The focus is on the free‐surface turbulent flow in an eccentric stirred tank by using the combination of detached‐eddy simulation and volume of fluid model. The flow field, profiles of the free surface, mean velocities, and the macroinstability phenomenon were explored and compared with the available experimental data. A reasonable representation of the free‐surface hydrodynamics was achieved. The findings indicate that the model and simulation strategies presented here can be used with sufficient confidence to predict the free‐surface hydrodynamics in stirred tanks.
“…The interfacial behavior was successfully captured. Yang and Zhou used the combination of Spalart‐Allmaras based DES and VOF model in the study of the free‐surface turbulent flow in a concentrically unbaffled dished‐bottom stirred tank. The superiority of DES in the prediction of the free‐surface hydrodynamics in stirred tanks was confirmed.…”
This work aims at a reliable prediction of the flow dynamics in stirred tanks. The focus is on the free‐surface turbulent flow in an eccentric stirred tank by using the combination of detached‐eddy simulation and volume of fluid model. The flow field, profiles of the free surface, mean velocities, and the macroinstability phenomenon were explored and compared with the available experimental data. A reasonable representation of the free‐surface hydrodynamics was achieved. The findings indicate that the model and simulation strategies presented here can be used with sufficient confidence to predict the free‐surface hydrodynamics in stirred tanks.
“…The model performs the calculation of one continuous phase, calculating the other one as a difference. This calculation approach guarantees a low computational cost under the restrictive hypothesis, verified in the present case unit, that the dispersed phase is less than 10% of the total. , Gas holdup in stirred fermenters can range from 1 to 20% . Therefore, the proposed approach is suitable for average gas rate sparged units. k-ω Menter’s shear stress transport (SST) for turbulence modeling, as it combines a robust formulation and near-wall region accuracy (imported by the k-ω model) with an independence from free flow in the bulk areas (guaranteed by the k-ε model).…”
Section: Methodsmentioning
confidence: 68%
“…This calculation approach guarantees a low computational cost under the restrictive hypothesis, verified in the present case unit, that the dispersed phase is less than 10% of the total. 32 , 33 Gas holdup in stirred fermenters can range from 1 to 20%. 34 Therefore, the proposed approach is suitable for average gas rate sparged units.…”
Industrial bioreactors
featuring inadequate geometry and operating
conditions may depress the effectiveness and the efficiency of the
hosted bioprocess. Computational fluid dynamics (CFD) can be used
to find a suitable operating match between the target bioprocess and
the available bioreactor. The aim of this work is to investigate the
feasibility of addressing bioreactor improvement problems in the bioprocess
industry with the aid of such mainstream tools as industry-standard
CFD. This study illustrates how to effectively simulate both the impeller
rotation and air supply and discusses the way toward model validation
at the 4.1 m
3
capacity scale. Referring to experimentally
measured process values, the developed full-scale model successfully
predicted the power draw, liquid phase level, and mixing time with
errors lower than 4.6, 1.1, and 6.7%, respectively, thus suggesting
the illustrated approach as a best practice design method for the
bioprocess industry. The validated model was employed to improve performance
by reducing the power draw in aerated conditions with a minimal operational
derating.
“…A number of previous CFD studies have focused on the modeling of turbulent free-surface flow using the Volume-of-Fluid (VoF) method in unbaffled vessels agitated by radial-flow impellers (for example, Haque et al, Cartland Glover and Fitzpatrick, Haque et al, Yang et al, and Yang and Zhou) and in vessels with two beavertail baffles agitated by a RCI entering from the bottom , and compared the predictions with the measurements of components of mean velocity and turbulence kinetic energy. In these studies, using the Reynolds-averaged Navier-Stokes (RANS) approach, turbulence has been represented using the standard k- ε, ,,,− Shear-stress transport (SST), , and Reynolds-stress transport (RST) , models. In more recent studies, detached-eddy simulation (DES) , and large-eddy simulation (LES) , approaches have also been used.…”
Section: Introductionmentioning
confidence: 99%
“…In these studies, using the Reynolds-averaged Navier-Stokes (RANS) approach, turbulence has been represented using the standard k- ε, ,,,− Shear-stress transport (SST), , and Reynolds-stress transport (RST) , models. In more recent studies, detached-eddy simulation (DES) , and large-eddy simulation (LES) , approaches have also been used. The free-surface profiles and the mean velocity components are generally well predicted by both the RANS and DES/LES approaches; however, the turbulence kinetic energy in the impeller stream is underpredicted by the former method.…”
A framework for the digital design of batch cooling crystallization processes is presented comprising three stages, which are based on different levels of process complexity, integrating crystallizer hydrodynamics with crystallization kinetics and consequently with expected crystal size distribution. In the first stage of the framework, a computational fluid dynamics methodology is developed to accurately assess hydrodynamics in a typical batch crystallizer configuration, comprising a 20 L scale dish-bottom vessel with a single beavertail baffle agitated by a retreat curve impeller, used in the pharmaceutical as well as in the fine chemical industries. The hydrodynamics of crystallizers with such configurations is characterized by vortex formation on the free liquid surface. It is therefore important to model the free surface using the Volume-of-Fluid (VoF) method. Comparison of the predicted mean velocity components with experimental measurements using laser Doppler anemometry reveals that improved predictions are obtained using a differential Reynolds-stress transport model for turbulence coupled with the VoF for modeling the gas-liquid interface compared with those using the Shear-stress transport model and with a flat liquid surface. This study demonstrates that an accurate treatment of the liquid free surface for capturing vortex formation is essential for reliable predictions of the crystallizer's flow field. While the vortex depth is predicted to increase with increasing impeller Reynolds number, the dependence of hydrodynamic macroparameters, including power number, impeller flow number, and secondary circulation flow number, on Reynolds number reveals that they are essentially constant within the turbulent regime but fluctuate when the flow is in the transitional and laminar regimes as fluid viscosity increases.
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