Simulation and optimization of Venturi type bubble generator to improve cavitation
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Salehe Allami
,
Minou Atharifar
Abstract
This study carried out the simulation and optimization of a Venturi tube with the aim of producing more micro-nanobubbles (MNBs) and preventing their aggregation to increase mass transfer. In the first step, fluid flow in a steady state in a simple Venturi tube was simulated. In the next step, a tube will be added to the throat. The test design will investigate and optimize the effects of three geometrical parameters: length, diameter, and rotation angle of the tube on two responses pressure and velocity in the throat. Also, from the design of the experiment, it was found that the angle of rotation and the diameter of the tube, compared to the length of the tube, have a greater effect on increasing the velocity and reducing the pressure in the throat, and their values were 90°, 1.5 mm, and 5 mm, respectively. From the simulation of the Venturi tube in the second state with the optimal values obtained, a 51 % reduction in the cavitation number was achieved, which has an inverse ratio with the cavitation intensity. In general, with the increase in cavitation intensity, the production of MNBs increases, and their accumulation is minimized.
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Research ethics: Not required.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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Articles in the same Issue
- Frontmatter
- Research Articles
- Cogeneration system’s energy performance improvement by using P-graph and advanced process control
- Numerical simulation of R134a evaporation in a cold water production system
- Implementing a radial basis function model to anticipate the outcomes of the gasification
- Sensitivity analysis and optimization of the whole process of continuous catalytic reforming for Persian gulf star oil company using an optimized data-driven model with tuned parameters
- Evaluating the therapeutic potential of 4-hydroxyflavanes diastereomers derivatives against (MetAP2) for anti-cancer therapy: a molecular docking study
- Enhanced cryogenic distillation column identification for methane separation: a hybrid artificial neural network approach
- Natural Gas and hydrogen blending: a perspective on numerical modeling and CFD analysis for transient and steady-state scenarios
- Simulation and optimization of Venturi type bubble generator to improve cavitation
