Using CFD simulations to investigate the shear stress in hydrodynamic cavitation reactors coupled with experimental validation using colony count measurements

Polgár, György Máté and Agarwal, Charu Atulkumar and Gogate, Parag and Németh, Gábor and Csóka, Levente (2022) Using CFD simulations to investigate the shear stress in hydrodynamic cavitation reactors coupled with experimental validation using colony count measurements. SCIENTIFIC REPORTS, 12 (1). ISSN 2045-2322

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Official URL: https://doi.org/10.1038/s41598-022-20349-7

Abstract

The current work investigates the shear stress distribution in hydrodynamic cavitation reactors with two different geometries using CFD simulations. Venturi type (positive geometry) and bore (negative geometry) were used to induce cavitation. Experimental validation of the predictions from simulations was also conducted by calculating the reduction rate in the colony count of Legionella pneumophila , a pathogenic bacterial strain. Both the numerical and experimental studies revealed the significant influence of the shape of the cavitation-inducing geometry on the flow characteristics and the distribution of shear stress. The simulation data indicated high shear stress formation in the positive geometry as a venturi, with the cavitation ranges for the two reactors being far apart from each other. The experimental study also confirmed that the flow conditions in the venturi-type reactor were more favourable compared to the bore geometry, resulting in a bacterial reduction efficiency as high as 99.98%. It was clearly demonstrated that the geometry of the cavitating device plays a crucial role in deciding the shear stress and its efficacy for the desired applications as per the predictions of the simulation model validated by the experimental results.

Tudományterület / tudományág

engineering and technology > material sciences and technologies
natural sciences > physical sciences

Faculty

Not relevant

Institution

Soproni Egyetem

Item Type: Article
SWORD Depositor: Teszt Sword
Depositing User: Csaba Horváth
Identification Number: MTMT:33202966
Date Deposited: 11 Nov 2022 08:48
Last Modified: 11 Nov 2022 08:48
URI: http://publicatio.uni-sopron.hu/id/eprint/2532

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