期刊
ACS OMEGA
卷 7, 期 43, 页码 38700-38708出版社
AMER CHEMICAL SOC
DOI: 10.1021/acsomega.2c04271
关键词
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资金
- National Natural Science Foundation of China [22108314]
- Natural Science Foundation of Hunan Province [2021JJ40717]
- Center for High Performance Computing, Shanghai Jiao Tong University
In this study, computational fluid dynamics (CFD) modeling was used to investigate liquid-liquid mixing behavior, while the population balance model (PBM) was used to characterize droplet size distribution. The study found that impeller position, stirring speed, and the number of impellers significantly affect mixing efficiency.
Liquid-liquid mixings in stirred tanks are commonly found in many industries. In this study, we performed computational fluid dynamics (CFD) modeling and simulation to investigate the liquid-liquid mixing behavior. Furthermore, the population balance model (PBM) was used to characterize the droplet size distribution. The PBM model parameters were calibrated using the experimental data of droplet sizes at different agitation speeds. Additionally, we employed the steady-state Sauter mean droplet size to validate the developed CFD-PBM coupled model at different dispersion phase holdups. Then, the validated CFD- PBM coupled model was employed to evaluate the role of impeller structural parameters on the liquid-liquid mixing efficiency based on a user-defined mixing index. It was found that the position of impellers significantly affects the mixing efficiency, and an increase in stirring speed and the number of impellers improved the mixing efficiency.
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