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Updated: Jan 20, 2026
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
Published on: April 30, 2023
Micro-bubble flow simulation of dissolved air flotation process for water treatment using computational fluid
Kyun Ho Lee1, Haedong Kim1, Jung Won KuK1
1School of Mechanical and Aerospace Engineering, Sejong University, Seoul, 143-741, Republic of Korea.
Choosing the right turbulence model is crucial for accurate dissolved air flotation (DAF) simulations. This study reveals the standard k-ε model is unsuitable, guiding better DAF system design.
Area of Science:
- Environmental Engineering
- Fluid Dynamics
- Water Treatment Technologies
Background:
- Dissolved air flotation (DAF) systems, used since the 1960s, purify water via micro-bubble buoyancy.
- Previous research focused on internal fluid dynamics, but pilot studies revealed practical limitations.
- Computational fluid dynamics (CFD) is used to understand DAF internal flow phenomena.
Purpose of the Study:
- To investigate the impact of different turbulence models and micro-bubble parameters on DAF internal flow.
- To identify an efficient numerical simulation approach for DAF processes.
- To provide insights for optimizing DAF system design and operation.
Main Methods:
- Numerical simulation using computational fluid dynamics (CFD).
- Comparison of various turbulence models for DAF internal flow.
- Analysis of micro-bubble parameters and their effect on flow patterns.
Main Results:
- The standard k-ε turbulence model is inadequate for simulating DAF internal flow.
- Accurate DAF simulations require careful selection of turbulence models.
- Specific micro-bubble operating conditions can lead to desirable internal flow patterns.
Conclusions:
- The findings highlight the limitations of conventional turbulence models in DAF simulations.
- Further research should focus on advanced turbulence models for DAF.
- This study offers practical information for designing DAF systems with optimal parameters.
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