Flooding in Pulsed Sieve Plate Extraction Columns With Mass Transfer Effects

Tribess, A.; Brunello, Giuseppe F.

doi:10.1590/s0104-66321998000100003

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…This was also consistent with the result observed by McAllister et al [25], Smoot and Babb [26], Kagan et al [2]. Tribess and Brunello [20] reported that with increase in plate spacing, the number of plates reduces and the shear force on the drops also reduces, which results in an increase in the mean drop diameter with greater throughput.…”

Section: Effect Of Pulse Velocity On Flooding Curvesupporting

confidence: 91%

“…This was the flooding due to excessive pulsing in the emulsion regime of operation. Thornton [18], McAllister et al [25], Smoot and Babb, [26], Kagan et al [2], Berger and Walter [19], Lorenz et al [4] and Tribess and Brunello [20] have also observed the same results. Kagan et al [2] have also used the kerosene-water system and found that, in mixer-settler regime as the pulse velocity increases, the capacity of the column increases.…”

Section: Effect Of Pulse Velocity On Flooding Curvementioning

confidence: 69%

“…Hence, with increase in phase flow ratio, the column capacity reduces. The effect of plate spacing was focused by Tribess and Brunello [20]. Increase in plate spacing resulted in reduction of the frequency of shear force application on droplets.…”

Section: Previous Workmentioning

confidence: 99%

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Hydrodynamics of a Pulsed Sieve Plate Extraction Column

Somkuwar

Kolhe

Rathod

2014

Indian Chemical Engineer

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Hydrodynamic characteristics, such as drop size, dispersed phase hold-up and flooding have been studied experimentally in a pulsed sieve plate extraction column of 0.076 m diameter. Geometrical parameters like perforation diameter, plate spacing and fractional free area (FFA) of sieve plate and operating parameters, such as pulse velocity and superficial velocities of dispersed and continuous phase, were studied using kerosenewater system. The drop size was reduced with decrease in perforation diameter, plate spacing, FFA and pulse velocity. Dispersed phase hold-up was found to be a function of drop size and superficial velocity of dispersed phase. At pulse velocity of 0.025m/s the parabolic behaviour with maxima at the transition from mixer-settler to dispersion regime of flooding curve has been noticed for all the different geometrical conditions. The maximum mass transfer interface together with utmost throughput was obtained at perforation diameter of 0.003 m, plate spacing of 0.05m and FFA of 0.2. The optimal operating parameters were pulse velocity of 0.025 m/s and superficial velocity of 0.006 m/s using organic to aqueous ratio (O/A) of 1:1. The drop size attained at these conditions was 0.0015 m with dispersed phase hold-up of 18%. The correlations developed can be used for the prediction of hold-up and drop size.

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Section: Effect Of Pulse Velocity On Flooding Curvesupporting

confidence: 91%

Section: Effect Of Pulse Velocity On Flooding Curvementioning

confidence: 69%

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Hydrodynamics of a Pulsed Sieve Plate Extraction Column

Somkuwar

Kolhe

Rathod

2014

Indian Chemical Engineer

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“…Several interconnected phenomena affect the fluid dynamics within the extraction column, estimated through suitable correlations. These phenomena depend mainly on densities, viscosities, and interfacial tension, as shown in Fig 4 . Solving a system of constitutive equations for drop size distribution (d 32 ), sedimentation (v S ), swarm behavior, and holdup (e) provides interfacial area, residence time, and dispersion coefficients (D ax ) of the phases for mass transport [29][30][31][32][33]. Besides fluid dynamical parameters, the partition coefficient (K) drives mass transfer and is estimated based on the NRTL activity coefficient model.…”

Section: Extraction-distillation Process Model (7-10)mentioning

confidence: 99%

COSMO‐CAMPED – Solvent Design for an Extraction Distillation Considering Molecular, Process, Equipment, and Economic Optimization

Polte

Raßpe‐Lange

Latz

et al. 2022

Chemie Ingenieur Technik

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For an extraction process to be economically feasible, selecting a suitable solvent is imperative. This work extends the computer-aided molecular and process design (CAMPD) framework COSMO-CAMPD for solvent design in an extractiondistillation process by replacing a pinch-based process model with a hybrid, rate-based extraction-distillation process model. The resulting CAMPD framework is able to evaluate solvent candidates by investment costs in addition to operating costs in a fully predictive manner. In a case study for purifying acetone, we show that our framework's guided exploration of a vast design space yields solvents with superior performance compared to a benchmark solvent from the literature.

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“…For the development of the data-driven model, 3048 datasets of flooding points for pulsed sieve plate extraction columns were retrieved from the literature. − The physical properties of pure components and operational and geometric parameters are the features of the model. The overall throughput at flooding is the target of the model.…”

Section: Database and Dataflowmentioning

confidence: 99%

Prediction and Characterization of Flooding in Pulsed Sieve Plate Extraction Columns Using Data-Driven Models

Brockkötter

Cielanga

Weber

et al. 2020

Ind. Eng. Chem. Res.

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Reliable prediction of flooding conditions is needed for sizing and operation of sieve plate extraction columns. Due to the complex interplay of chemical properties, the extraction column geometry and material and the pulsation intensity, the development of physical models and semiempirical correlations for a broad validity range is complicated. Available models and correlations may fail in predicting the flooding curve accurately. To overcome this problem, a data-driven model has been developed, which is capable of predicting flooding with a higher accuracy than conventional correlations from the literature. The optimized black-box approach, a purely data-driven approach, is a Gaussian process with a root mean squared error of 1.65 × 10–3 m/s and a coefficient of determination of 0.942. The combination of the data-driven model with additional physical models improves the accuracy not significantly. This gray-box approach results in a Gaussian process with a root mean squared error of 1.61 × 10–3 m/s and a coefficient of determination of 0.944. The data-driven model is able to calculate correct flooding curves for different representative chemical systems and extraction column geometries.

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Flooding in Pulsed Sieve Plate Extraction Columns With Mass Transfer Effects

Cited by 6 publications

References 12 publications

Hydrodynamics of a Pulsed Sieve Plate Extraction Column

Hydrodynamics of a Pulsed Sieve Plate Extraction Column

COSMO‐CAMPED – Solvent Design for an Extraction Distillation Considering Molecular, Process, Equipment, and Economic Optimization

Prediction and Characterization of Flooding in Pulsed Sieve Plate Extraction Columns Using Data-Driven Models

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