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A Method to Design and Optimize Axial Flow Cyclones for Gas–Liquid Separation
Author(s) -
K. R. Anderson,
Xiang Zhang,
Bahman Abbasi
Publication year - 2021
Publication title -
journal of fluids engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 103
eISSN - 1528-901X
pISSN - 0098-2202
DOI - 10.1115/1.4050638
Subject(s) - volumetric flow rate , environmental science , mist , cyclone (programming language) , inlet , mass flow rate , flow (mathematics) , separation (statistics) , nuclear engineering , petroleum engineering , mechanics , meteorology , engineering , mechanical engineering , computer science , physics , field programmable gate array , machine learning , embedded system
This article provides a detailed design guide, optimization, and performance assessment for air–water separation of an axial flow cyclone. Axial flow cyclones (also known as swirl tube demisters, mist eliminators, or Austin–Write cyclones) have a range of applications in several different industries. This method of gas–liquid separation offers many benefits. Among these are high liquid separation efficiencies (near 99%) and an inline design that allows them to be more easily fitted into existing piping structures. Despite these benefits, there are several design parameters that have not been optimized for performance in wastewater purification applications. This research fills the gap in the literature by quantifying the effect of new design parameters on water collection efficiency, ηwater collection, and the air bypass efficiency, ηair bypass, defined as the ratio of the air mass flowrate exiting through the desired air outlet over the inlet air mass flowrate. A set of wide-ranging experiments were conducted to study the effects of gas–liquid flow rates, tube geometry, and relative injection angles to optimize the water collection and air bypass efficiencies. The water collection efficiency exceeded 99.8% when the liquid streamline came in direct contact with the water drainage exit. An empirical correlation was developed to predict the swirl pitch as a function of the above design parameters. Predictions from the correlation were within 10% of the experimental results. The correlation can be used to design highly efficient in-line gas–liquid separators.

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