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- Efficient computer simulation of the dynamics of na agitated liquid-liquid extraction columnPublication . Guimarães, M. M. L.; Gomes, M. L.; Regueiras, P. F. R.; Ribeiro, M. L.; Cruz-Pinto, J. J. C.Given the difficulties associated with experimentation upon liquid-liquid extraction processes, computer simulation of these processes has recently acquired great relevance and usefulness as complement, if not an alternative, to direct experimentation. This is becoming increasingly attractive, as both the power and the availability of personal computing increase. Recently, Ribeiro (1995), Ribeiro ef al. (1997)) developed a fast and precise algorithm, adapting population balance models as Coulaloglou and Tavlarides' (1977) for the dispersed phase breakage and coalescence, and both the rigid and the oscillating drop models as proposed by Cruz-Pinto ef al. (1983), for mass transfer. The algorithm enabled the simulation’ of the evolution in time of the trivariate joint distribution of drop properties in two-phase continuous mixers, in steady and transient states. A simplified version of this algorithm, that calculates the drop size distribution and the mean and standard deviation of solute concentration within each volume class, was further developed by Regueiras ef al (1996). In this work, the applicability of this simplified algorithm to the dynamic simulation of a Kithni liquid-liquid extraction column is illustrated. A transport model was developed from previous models of Cruz-Pinto (1979). Coulaloglou and Tavlarides’ (1977) drop interaction model was again adopted. It is shown that the algorithm is able to describe both the transient and the steady-state behaviour of a Kihni pilot column (Technical University of Munich), and the simulation runs that were made show good agreement with the experimental results. The present version of the algorithm predicts local hold-ups and drop size distributions at different column stages. So far, the results do not include mass transfer, but future work will contemplate this feature.