1998
DOI: 10.1016/s0009-2509(97)00310-2
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Modeling, simulation and control of liquid-liquid extraction columns

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Cited by 46 publications
(32 citation statements)
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“…In this control scheme the outlet continuous flow rate is manipulated to control the position of the interface at the top of the column. The velocity model corresponding to this scheme shows an oscillatory behaviour in the dispersed phase hold-up as reported both experimentally by Hufnagl et al [56] and theoretically by Weinstein et al [14] and Attarakih et al [19]. Fig.…”
Section: Continuous Phase Velocity Modelssupporting
confidence: 75%
“…In this control scheme the outlet continuous flow rate is manipulated to control the position of the interface at the top of the column. The velocity model corresponding to this scheme shows an oscillatory behaviour in the dispersed phase hold-up as reported both experimentally by Hufnagl et al [56] and theoretically by Weinstein et al [14] and Attarakih et al [19]. Fig.…”
Section: Continuous Phase Velocity Modelssupporting
confidence: 75%
“…The population of droplets is modelled by a multivariate number concentration function, which takes into account the dynamic evolution of droplet size and solute concentrations. The understanding of liquid-liquid extraction columns dynamic behavior can be notably used in the design of process control strategy or the start-up and shutdown procedures [8][9][10][11]. In attempting to model this dynamic behavior, one has to consider the macroscopic dispersed phase interactions (droplet breakage and coalescence) as well as the microscopic interaction (interphase mass transfer) occurring in the continuously turbulent flow field, which results in a distributed population of droplets.…”
Section: The Mathematical Modelmentioning
confidence: 99%
“…In the present work, the simplified model of Handlos and Baron (1957) as used by many researches (Zhang et al, 1985;Weinstein et al, 1998) as well as the correlation of Kumar and Hartland (1999) are used. However, the criterion based on the Reynolds number as suggested by Zhang et al (1985) may be used as a guide for selecting the proper mass transfer model.…”
Section: Mass Transfer Coefficientsmentioning
confidence: 99%
“…The individual mass transfer coefficient for the continuous phase is essentially subjected to the aforementioned classification procedure, where two models are used to predict it. The first simple one is based on the film coefficient equation as recommended by Weinstein et al (1998), and the second one is based on the correlation of Kumar and Hartland (1999) for RDC LLECs. Now, once the individual mass transfer coefficients are estimated, the rate of change of solute concentration in the liquid droplet (ċ y ) is expressed in terms of the droplet volume average concentration and the overall mass transfer coefficient, K oy :…”
Section: Mass Transfer Coefficientsmentioning
confidence: 99%