Size Distribution and Mean Diameter of Microbubbles in Different Types of Ejector Bubble Generators

This study investigates the influence of air discharge on bubble size distribution across various types of bubble generators. Air discharge rates were adjusted between 0.1 lpm and 1.0 lpm for ejector, ejector-barrier plate, and venturi bubble generators, under a controlled experimental setup. High-speed camera footage captured bubble images, which were then analyzed to determine size distributions. A predictive correlation for bubble size distribution was formulated using the Buckingham Pi theorem. Results revealed that increased air discharge correlated with larger bubble diameters, with average increases of 8.01%, 10.71%, and 9.25% for ejector, ejector-barrier plate, and venturi generators, respectively. Notably, the ejector-barrier plate generator exhibited the greatest capability for producing smaller bubbles, with a peak increase in the probability density function of 13.95% for the ejector type, 18.05% for the ejector-barrier plate type, and 9.49% for the venturi type. Experimental findings aligned well with the proposed predictive model for average diameter and bubble size distribution.

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Publication Details

Journal
Journal of Applied Fluid Mechanics
Published
2025-04-01
DOI
https://doi.org/10.47176/jafm.18.6.3227
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
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article

Size Distribution and Mean Diameter of Microbubbles in Different Types of Ejector Bubble Generators

Journal of Applied Fluid Mechanics
Fluid Dynamics and Mixing
article

Size Distribution and Mean Diameter of Microbubbles in Different Types of Ejector Bubble Generators

article en

Abstract

This study investigates the influence of air discharge on bubble size distribution across various types of bubble generators. Air discharge rates were adjusted between 0.1 lpm and 1.0 lpm for ejector, ejector-barrier plate, and venturi bubble generators, under a controlled experimental setup. High-speed camera footage captured bubble images, which were then analyzed to determine size distributions. A predictive correlation for bubble size distribution was formulated using the Buckingham Pi theorem. Results revealed that increased air discharge correlated with larger bubble diameters, with average increases of 8.01%, 10.71%, and 9.25% for ejector, ejector-barrier plate, and venturi generators, respectively. Notably, the ejector-barrier plate generator exhibited the greatest capability for producing smaller bubbles, with a peak increase in the probability density function of 13.95% for the ejector type, 18.05% for the ejector-barrier plate type, and 9.49% for the venturi type. Experimental findings aligned well with the proposed predictive model for average diameter and bubble size distribution.

Journal of Applied Fluid MechanicsVol. 18(4)
Yogyakarta State University (ID), Universitas Pgri Banyuwangi (ID)
Affordable and clean energy
Openalex Percentile: Top 94%
Fluid Dynamics and Mixing
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