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RDC Column Performance Prediction Using Axial Dispersion Model for Continuous and Forward Mixing Model for Dispersed Phase

Nekouei, Mehdi | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43509 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Bastani, Dariush
  7. Abstract:
  8. In this project, the continuous phase mass transfer and backflow coefficients are optimized, using the experimental data from two RDC columns. The continuous and dispersed phases are modeled by stage wise and forward mixing model, respectively. Genetic Algorithm is applied to find the optimized parameters of the model. Olney model is employed to find the slip velocities of drops. The dispersed phase mass transfer coefficients were calculated using Handlos-Baron model. In the other part of the project, the Rigid Drop model was modified to predict the mass transfer coefficients of dispersed phase and the modification parameter was optimized by genetic algorithm. The effect of rotor speed and continuous phase flow rate on the back flow parameter was investigated and it was observed that by increasing the flow rate and decreasing the rotor speed, back flow parameter would decrease. The continuous phase mass transfer coefficients obtained in this work, are close to the ones found by plug flow with axial dispersion model. The effect of Reynolds number on the modification parameter was investigated and it was observed that by increasing the Reynolds number the parameter would get increased. The comparison between predicted and experimental results shows that this model is applicable
  9. Keywords:
  10. Liquid-Liquid Extraction ; Modeling ; Genetic Algorithm ; Stage Model ; Forward Mixing Model

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