CFD Simulations of Two Phase Flow in Asymmetric Rotary Agitated Columns

Farakte, Raosaheb A.; Hendre, Nilesh V.; Patwardhan, Ashwin W.

doi:10.1021/acs.iecr.8b02720

Cited by 11 publications

(10 citation statements)

References 28 publications

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“…Hence, the dispersed‐phase holdup declines and reaches its minimum point. With higher agitation speed, a stronger reverse flow of the dispersed phase is prompted 39, which limits the downward flow of the droplets. This indicates that to reach the holdup minima, a higher pulsation intensity is required.…”

Section: Resultsmentioning

confidence: 99%

Dispersed‐Phase Holdup and Characteristic Velocity in an Agitated‐Pulsed Solvent Extraction Column

Tan

Lan

et al. 2021

Chem Eng & Technol

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The agitated‐pulsed column (APC) is expected to exhibit good transfer. The dispersed‐phase holdup and characteristic velocity were measured using a 25‐mm diameter APC. The holdup declined at first and then escalated with the increase of pulsation intensity which was in contrary to the trend of the characteristic velocity change. The pulsation intensity corresponding to minimum holdup was found, and it increased with higher agitation speed. The interfacial area was also calculated. Correlations were developed for the holdup and characteristic velocity prediction within 5.34 % and 9.54 % deviation, respectively. Flooding lines were calculated by the characteristic velocity method and operating regimes were determined by the experimental results.

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Section: Resultsmentioning

confidence: 99%

Dispersed‐Phase Holdup and Characteristic Velocity in an Agitated‐Pulsed Solvent Extraction Column

Tan

Lan

et al. 2021

Chem Eng & Technol

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“…Although some simulations of accelerated droplets have been performed in liquid–air system, , experimental investigation of the drag coefficient of droplets in unsteady liquid–liquid flow is still limited. To develop a robust model for the design of the liquid–liquid extraction process, a better understanding of particle motion is required. − For this reason, there is an obvious need to develop a mathematical model that describes the effect of unsteady liquid flow on the drag coefficient.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Unsteady Drag Coefficient of Droplets in a Liquid–Liquid System

Tan

Wang

Zhang

et al. 2023

Ind. Eng. Chem. Res.

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In liquid−liquid contact process, the motion of droplets relative to the surrounding fluid always involves accelerating and decelerating, which affects the mass, heat, and momentum transfer. The lack of experimental data of the unsteady drag coefficient has been one of the limitations on the prediction of the unsteady flow field. In this study, the accelerated and decelerated water droplets in an organic phase were measured by a high-speed camera. The results show that with a decrease in droplet diameter, the acceleration becomes more significant, while the absolute relative velocity decreases, causing a lower Reynolds number. The Basset force and add mass force were solved numerically and compared with drag force. The unsteady drag coefficient is always smaller than the corresponding steady drag coefficient in the case of accelerating relative flow and larger than that in the case of decelerating relative flow. A new unsteady drag coefficient model has been established, which has an acceptable agreement with the experimental data.

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“…Different extraction equipment are available, such as a mixer-settler, rotating disc column, sieve-plate column, asymmetric rotating disc/impeller column, pulse disc, and doughnut column . A past study found that an asymmetric rotating impeller column (ARIC) gives the best results for the recovery of metal ions from wet phosphoric acid. − Hendre et al have experimentally observed that 99% of metal ions can be extracted from the loaded phosphoric acid in ARIC . Considering the amount of solvent required for extraction, the cost of organic solvent, and the recovery of solutes, stripping of the “loaded” organic phase is an essential step in the extraction process.…”

Section: Introductionmentioning

confidence: 99%

CFD Modeling of Liquid–Liquid Batch-Stirred Tank at High Organic to Aqueous Phase Ratios

Mahakal,

Patwardhan

2023

Ind. Eng. Chem. Res.

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In the present work, a computational fluid dynamics (CFD) model was developed for liquid−liquid dispersion in a batch mixer. The minimum mixing speed for complete dispersion, flow field, and local holdup distribution for two-phase mixing in the batch mixer is modeled at high organic to aqueous phase ratios. A two-phase Euler−Euler model combined with the k−ε turbulence model was used. The CFD model was validated by UVP measurements and with experimental observation. The predicted minimum mixing speed for complete dispersion by simulations was nearly the same as that for experiments with an average absolute relative error of 7−10%. It was found that impeller type, speed, and the liquid system significantly affect the flow field.

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CFD Simulations of Two Phase Flow in Asymmetric Rotary Agitated Columns

Cited by 11 publications

References 28 publications

Dispersed‐Phase Holdup and Characteristic Velocity in an Agitated‐Pulsed Solvent Extraction Column

Dispersed‐Phase Holdup and Characteristic Velocity in an Agitated‐Pulsed Solvent Extraction Column

Experimental Study of Unsteady Drag Coefficient of Droplets in a Liquid–Liquid System

CFD Modeling of Liquid–Liquid Batch-Stirred Tank at High Organic to Aqueous Phase Ratios

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