Abstract
While continuous oscillatory baffled reactors (COBR) have been proven a viable alternative to traditional batch reactors for organic synthesis and crystallization, research into the estimation of power density for this type of device has largely been stagnated for the past 25 years. This work reports, for the first time, detailed analysis and examination of the applicability, capability and deficiencies of two existing models using CFD methodology. The “quasi-steady” model (QSM) over-estimates power dissipation rates due to the inaccurate formulation of two of its geometric parameters for modern COBRs. By using a revised power law dependency on the number-of-baffles term (nx) and an appropriate orifice discharge coefficient (CD), we demonstrate that the updated QSM can not only be used for a much wider application range than previously outlined, but also for both batch and continuous operations. The “eddy enhancement” model (EEM) generally provides better predictions of power density for the conditions tested; however, its accuracy can substantially be enhanced by applying the aforementioned power law dependency on n and an empirical correlation proposed in this work to estimate EEM’s “mixing length”. After full validation, both models give very similar power density estimations and can be used interchangeably with high confidence.
Original language | English |
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Pages (from-to) | 153-162 |
Number of pages | 10 |
Journal | Chemical Engineering and Processing: Process Intensification |
Volume | 134 |
Early online date | 3 Nov 2018 |
DOIs | |
Publication status | Published - Dec 2018 |
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Xiongwei Ni
- School of Engineering & Physical Sciences - Professor
- School of Engineering & Physical Sciences, Institute of Mechanical, Process & Energy Engineering - Professor
- School of Engineering & Physical Sciences, Institute of Chemical Sciences - Professor
Person: Academic (Research & Teaching)