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Computational Fluid Dynamics Modeling of a Bench-scale Pump−Mixer: Head, Power and Residence Time Distribution

Authors: SINGH, KK; MAHAJANI, SM; SHENOY, KT; GHOSH, SK;

Computational Fluid Dynamics Modeling of a Bench-scale Pump−Mixer: Head, Power and Residence Time Distribution

Abstract

The present work involves several single-phase computational fluid dynamics (CFD) simulations of a continuous-flow bench-scale pump−mixer that uses a top-shrouded turbine with trapezoidal blades. Baffle−impeller interaction has been modeled using the sliding-mesh approach. The standard k−e model has been used for turbulence modeling. CFD simulations have been used to predict power consumption and the head generated by the pump-mix impeller, as well as to conduct virtual tracer experiments. Results from CFD simulations have been validated with the experimental data obtained on a physical counterpart. Virtual residence time distribution (RTD) curves have been used to perform compartment modeling of the pump−mixer. A significant difference in the hydrodynamic behavior between the low clearance design and the high clearance design has been observed.

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Keywords

Liquid-Liquid Systems, Turbulent-Flow, Mixing Time, Nonideal Stirred-Tank, Population Balances, Vessels, Reactors, Prediction, Impeller Clearance, Cfd Simulations

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Average
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