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New approach in the prediction of RDC liquid-liquid extraction column parameters

Bastani, D ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1002/ceat.200700483
  3. Publisher: 2008
  4. Abstract:
  5. The liquid-liquid extraction process is well-known for its complexity and often entails intensive modeling and computational efforts to simulate its dynamic behavior. This paper presents a new application of the Genetic Algorithm (GA) to predict the modeling parameters of a chemical pilot plant involving a rotating disc liquid-liquid extraction contactor (RDC). In this process, the droplet behavior of the dispersed phase has a strong influence on the mass transfer performance of the column. The mass transfer mechanism inside the drops of the dispersed phase was modeled by the Handlos-Baron circulating drop model with consideration of the effect of forward mixing. Using the Genetic Algorithm method and the Numerical Analysis Group (NAG) software, the mass transfer and axial dispersion coefficients in the continuous phase in these columns were optimized. In order to obtain the RDC column parameters, a least-square function of differences between the simulated and experimental concentration profiles (SSD) and 95 % confidence limit in the plug flow number of the transfer unit prediction were considered. The minus 95% confidence limit and sum of square deviations for the GA method justified it as a successful method for optimization of the mass transfer and axial dispersion coefficients of liquid-liquid extraction columns. © 2008 Wiley-VCH Verlag Gmbh & Co. KGaA, Weinheim
  6. Keywords:
  7. Algorithms ; Bioelectric phenomena ; Chlorine compounds ; Columns (structural) ; Computational complexity ; Concentration (process) ; Dispersion (waves) ; Drops ; Extraction ; Fluid mechanics ; Forecasting ; Genetic algorithms ; Least squares approximations ; Mass transfer ; Mixing ; Numerical analysis ; Optimization ; Parameter estimation ; Pilot plants ; Transfer functions ; Axial dispersion coefficients ; Chemical- ; Computational efforts ; Concentration profiles ; Confidence limit ; Continuous phase ; Dispersed phase ; Droplet behaviors ; Dynamic behaviors ; Genetic algorithm ; Genetic Algorithm (GA) ; Liquid-liquid extraction ; Liquid-liquid extraction process ; Mass transfer mechanisms ; Mass-transfer performance ; Modeling ; Modeling parameters ; New approaches ; Plug flow ; RDC column ; Rotating discs ; Solvent extraction
  8. Source: Chemical Engineering and Technology ; Volume 31, Issue 7 , 2008 , Pages 971-977 ; 09307516 (ISSN)
  9. URL: https://onlinelibrary.wiley.com/doi/10.1002/ceat.200700483