Affiliation:
1. TU Dortmund University Department of Biochemical and Chemical engineering Laboratory of Equipment Design Emil-Figge-Straße 68 44227 Dortmund Germany
2. CGC Capital-Gain Consultants GmbH 10117 Berlin Germany
Abstract
AbstractSolvent extraction as environmental benign separation technique can be modeled in physical detail by population balance of the droplet size distribution. However, much information on the droplet generation and coalescence is necessary for representative results. In this contribution, we present a comparison of AI‐evaluated experimental and simulated data on the behavior of a stirred solvent extraction column with an inner diameter of 32 mm. Lab experiments were performed using the standard test system with n‐butyl acetate, acetone, and deionized water. A digital camera is placed in front of the middle section as well as the head of the column. Droplet size evaluation is performed using a retrained neural net (Mask R‐CNN). The stirred DN32 extraction column is modeled and simulated using a 1D CFD population balance software. The simulation allows for behavior analysis, trends comparison, and validation of the hydrodynamics and mass transfer performances.
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献