Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank

A review

Aoyi Ochieng, Maurice S. Onyango, H. K. Kiriamiti

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Stirred tanks are typically used in many reactions. The quality of mixing generated by the impellers can be determined using either experimental and simulation methods, or both methods. The experimental techniques have evolved from traditional approaches, such as the application of hot-wire anemometry, to more modern ones like laser Doppler velocimetry (LDV). Similarly, computational fluid dynamics (CFD) simulation techniques have attracted a lot of attention in recent years in the study of the hydrodynamics in stirred tanks, compared to the empirical modelling approach. Studies have shown that the LDV technique can provide very detailed information on the spatio-temporal variations in a tank, but the method is costly. For this reason, CFD simulation techniques may be employed to provide such data at a lower cost. In recent years, both integrated experimental and CFD approaches have been used to determine flow field and to design various systems. Both CFD and LDV data reveal the existence of flow maldistribution caused by system design features, and these in turn show that the configurations that have, over the years, been regarded as standard may not provide the optimal operating conditions with regards to the system homogeneity and power consumption. The current trends in CFD studies point towards an increasing application of more refined grids, such as in large eddy simulation, to capture turbulent structures at microscales. This trend will further improve the quality of the simulation results for processes such as precipitation, in which micromixing and reaction kinetics are important.
Original languageEnglish
JournalSouth African Journal of Science
Volume105
Publication statusPublished - 2009

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Hydrodynamics
computational fluid dynamics
Computational fluid dynamics
fluid mechanics
Laser-Doppler Flowmetry
Velocity measurement
Computer simulation
laser
simulation
lasers
Lasers
methodology
Impellers
large eddy simulation
Large eddy simulation
reaction kinetics
Reaction kinetics
flow field
homogeneity
Flow fields

Cite this

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title = "Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank: A review",
abstract = "Stirred tanks are typically used in many reactions. The quality of mixing generated by the impellers can be determined using either experimental and simulation methods, or both methods. The experimental techniques have evolved from traditional approaches, such as the application of hot-wire anemometry, to more modern ones like laser Doppler velocimetry (LDV). Similarly, computational fluid dynamics (CFD) simulation techniques have attracted a lot of attention in recent years in the study of the hydrodynamics in stirred tanks, compared to the empirical modelling approach. Studies have shown that the LDV technique can provide very detailed information on the spatio-temporal variations in a tank, but the method is costly. For this reason, CFD simulation techniques may be employed to provide such data at a lower cost. In recent years, both integrated experimental and CFD approaches have been used to determine flow field and to design various systems. Both CFD and LDV data reveal the existence of flow maldistribution caused by system design features, and these in turn show that the configurations that have, over the years, been regarded as standard may not provide the optimal operating conditions with regards to the system homogeneity and power consumption. The current trends in CFD studies point towards an increasing application of more refined grids, such as in large eddy simulation, to capture turbulent structures at microscales. This trend will further improve the quality of the simulation results for processes such as precipitation, in which micromixing and reaction kinetics are important.",
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year = "2009",
language = "English",
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journal = "South African Journal of Science",
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publisher = "National Research Foundation",

}

Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank : A review. / Ochieng, Aoyi; Onyango, Maurice S.; Kiriamiti, H. K.

In: South African Journal of Science, Vol. 105, 2009.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank

T2 - A review

AU - Ochieng, Aoyi

AU - Onyango, Maurice S.

AU - Kiriamiti, H. K.

PY - 2009

Y1 - 2009

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AB - Stirred tanks are typically used in many reactions. The quality of mixing generated by the impellers can be determined using either experimental and simulation methods, or both methods. The experimental techniques have evolved from traditional approaches, such as the application of hot-wire anemometry, to more modern ones like laser Doppler velocimetry (LDV). Similarly, computational fluid dynamics (CFD) simulation techniques have attracted a lot of attention in recent years in the study of the hydrodynamics in stirred tanks, compared to the empirical modelling approach. Studies have shown that the LDV technique can provide very detailed information on the spatio-temporal variations in a tank, but the method is costly. For this reason, CFD simulation techniques may be employed to provide such data at a lower cost. In recent years, both integrated experimental and CFD approaches have been used to determine flow field and to design various systems. Both CFD and LDV data reveal the existence of flow maldistribution caused by system design features, and these in turn show that the configurations that have, over the years, been regarded as standard may not provide the optimal operating conditions with regards to the system homogeneity and power consumption. The current trends in CFD studies point towards an increasing application of more refined grids, such as in large eddy simulation, to capture turbulent structures at microscales. This trend will further improve the quality of the simulation results for processes such as precipitation, in which micromixing and reaction kinetics are important.

M3 - Article

VL - 105

JO - South African Journal of Science

JF - South African Journal of Science

SN - 0038-2353

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