Overall
- Language
- English
- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received July 30, 2024
Accepted February 21, 2025
Available online May 25, 2025
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Most Cited
Evaluation of Mixing Effi ciency Using Hybrid Impeller Synergistic with Pulsed Air Bubbles in Liquid–Liquid System
https://doi.org/10.1007/s11814-025-00429-w
Abstract
The motion of bubbles in stirred reactors exerts a signifi cant infl uence on heat and mass transfer, as well as reaction rates
within the reactor. This study examines the chaotic mixing characteristics and dynamic behavior of bubbles in a stirred
reactor by introducing pulsed air fl ow. Deep learning is employed to track and analyze bubble motion, thereby revealing
the mechanistic insights of bubble dynamics in stirred reactors. Additionally, mechanical stirring chaos characteristics are
quantifi ed using 0-1 tests, coupled with a comprehensive evaluation of mixing systems based on mixing times. The results
demonstrate that pulsed air fl ow induces nonlinear bubble motion, generating complex mixing patterns and fl ow structures
within the reactor. Quantitative analysis of bubble trajectories and distributions elucidates the impact mechanisms of pulsed
air fl ow on mixing effi ciency. Further research reveals that optimizing parameters of pulsed air fl ow can enhance bubble
motion, improve mixing effi ciency, accelerate reaction rates, and enhance reactor performance. Under optimal conditions,
mixing times are reduced by 3.26 times compared to conventional mixing systems. This study off ers novel insights and
methodologies for the design and optimization of mixing reactors.
