Genetic Algorithm Approach in Prediction of Mass Transfer and Axial Dispersion Coefficients of Rotating Disc Liquid-Liquid Extraction Contactors
Advancing the chemical engineering fundamentals
Distillation, Absorption & Extraction - III (T2-10c)
Keywords: Liquid-Liquid Extraction , Rotating Disc Contactor , Genetic Algorithm
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 Genetic Algorithm to predict the modeling parameter of a chemical pilot plant: a rotating disc liquid-liquid extraction contactor.
It is well known that the droplet behavior of the dispersed phase in extraction equipments has a strong influence on the mass transfer performances. In this work the mass transfer mechanism inside the drops of the dispersed phase was modeled by Handlos-Baron circulating drop model with considering the effect of forward mixing and using the Genetic Algorithm method to optimize mass transfer and axial dispersion coefficients of these columns. In order to achieve RDC model parameters, which can describe the performance of the Liquid-liquid Extraction Column, a least-square function of differences between the simulated and experimental concentration profiles and 95% confidence limit in plug flow number of transfer unit were considered. The calculated Results using this method were compared with the result obtained using the NAG software (Numerical Analysis Group).
The comparisons justify the use of Genetic Algorithm as a successful method for optimization of mass transfer and axial dispersion coefficients of Liquid-liquid extraction columns.
See the full pdf manuscript of the abstract.
Presented Tuesday 18, 10:05 to 10:25, in session Distillation, Absorption & Extraction - III (T2-10c).
