AI?Based Supervision for a Stirred Extraction Column Assisted with Population Balance?Based Simulation

Solvent extraction as environmental benign separation technique can be modeled in physical detail by population balance of the droplet size distribution. However, much information on generation and coalescence is necessary for representative results. In this contribution, we present a comparison AI-evaluated experimental simulated data behavior stirred solvent column with an inner diameter 32 mm. Lab experiments were performed using standard test system n-butyl acetate, acetone, deionized water. A digital camera placed front middle section well head column. Droplet evaluation retrained neural net (Mask R-CNN). The DN32 1D CFD software. simulation allows analysis, trends comparison, validation hydrodynamics mass transfer performances.