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Erschienen in: Journal of Visualization 5/2020

05.07.2020 | Regular Paper

An experimental study of gas nuclei-assisted hydrodynamic cavitation for aquaculture water treatment

verfasst von: Tandiono Tandiono, Chang Wei Kang, Xin Lu, Cary K. Turangan, Matthew Tan, Hafiiz Bin Osman, Fannon Lim

Erschienen in: Journal of Visualization | Ausgabe 5/2020

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Abstract

We present an experimental study on hydrodynamic cavitation generated by accelerating liquid through a series of constrictions in the presence of gas bubbles and explore its possible applications in water treatment with particular example in aquaculture industry. The formation of intense cavitation bubbles is visualized using a high-speed photography. The cavitation is initiated when a gas bubble moves towards a narrow cylindrical constriction where it accelerates, expands and then splits into smaller bubbles owing to the sharp pressure gradient of the liquid flow inside the constriction section. As the bubbles emerge downstream from the constrictions, they are exposed to a higher pressure region and collapse violently forming a cloud of bubbles. Smaller and more dispersed bubbles are produced by further passing the bubbles through a second series of constrictions. By introducing gas bubbles that serve as cavitation nuclei prior to the constriction, it is unnecessary to force the liquid flow below its vapor pressure to produce intense cavitation, thus enhancing the cavitation activities. We also present experimental evidences of a significant reduction of gram-negative Escherichia coli concentration after exposing them to the cavitation bubbles. Yet, the cavitation bubbles are found to be not sufficiently strong to lyse endospores Bacillus subtilis that are widely used in aquacultures.

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Metadaten
Titel
An experimental study of gas nuclei-assisted hydrodynamic cavitation for aquaculture water treatment
verfasst von
Tandiono Tandiono
Chang Wei Kang
Xin Lu
Cary K. Turangan
Matthew Tan
Hafiiz Bin Osman
Fannon Lim
Publikationsdatum
05.07.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 5/2020
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-020-00668-5

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