Liquid-Liquid Extraction Columns: Parameter Estimation
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Beschreibung
As a basis of this work, the non-reactive chemical test systems butyl acetate (d)-acetone-water and toluene (d)-acetone-water (with or without solute) were used as recommended by European Federation of Chemical Engineering (EFCE). Rotating extraction column of type Kühni and Rotating Disc Contactor (RDC) are the main focus of the work. Hence, single and swarm measurements were collected from published data or performed at the department’s laboratory for different factors. These factors include extraction column scales with data for droplet velocities, breakage probability, inlet and outlet droplet size distribution, Sauter mean diameter, dispersed phase fraction (holdup) and concentration profile. The investigations covered the following column scales for the column type Kühni: DN 32, DN 80, DN 150 and RDC: DN 80 and DN 150 as well as different internal and external geometry.
After reviewing the available literature correlations for each phenomena with their range of validity, the parameter optimization was initiated. Consequently, a modeling approach was introduced to estimate these independent parameters based on a three-step approach with the assistance of population balance, experimental data (single, swarm) and optimization techniques. The first step was the model optimization for single droplet phenomena to study various parameters, such as: droplet velocity, slowing factor, breakage probability, daughter droplet distribution, etc. The second step was a 3D optimization for energy dissipation and axial dispersion, with the support of computational fluid dynamics (CFD) tools to get local information and to validate the 1D correlation in one geometrical compartment. The data on energy dissipation and axial dispersion are limited and literature measurements were done within defined considerations and assumptions. The third step was to couple all these individual parameters of the models as basis before optimizing the coalescence parameter using an inverse population balance approach. Here, swarm experimental data were used to fit the coalescence models. The numerical method used to solve the population balance equation was the extended fixed pivot technique. A new parameter identification methodology was used to compare models to identify the fitting one. Dividing the problem into a three-step approach is a way to decrease the complexity
Autor*in
Hanin Jildeh
Themen in »Liquid-Liquid Extraction Columns: Parameter Estimation«
Computational Fluid Dynamics Liquid-Liquid Extraction Liquid-Liquid Extraction Columns