Experimental and Numerical Simulation of Flow Modes in Flow Focusing/Blurring Nozzle
Abstract
:1. Introduction
2. Experimental Facility
2.1. Experimental Nozzle
2.2. Experimental Equipment
3. Numerical Simulation Model
4. Results and Discussions
4.1. Experimental Study on Flow Modes Inside the Nozzle
4.2. Numerical Simulation of Flow Modes and Their Transformation
4.3. Numerical Simulation of Flow Morphology Inside the Nozzle Under Special Conditions
5. Conclusions
- (1)
- According to the experimental results, the flow modes of the flow focusing/blurring nozzle are classified into three types from the perspective of liquid jet breakup: flow focusing, transition, and flow blurring. This classification takes into account both the flow inside and outside the nozzle, which is more reasonable.
- (2)
- The flow mode and its transformation are mainly related to viscous shear force, gas pressure on jet surface, and liquid inertia force. The enhancement of viscous shear force caused by the increase in the gas flow rate is an effective method to achieve the transition from flow focusing to flow blurring.
- (3)
- Excessive gas or liquid flow rates can cause the liquid jet inside the nozzle to be difficult to break up or cause them to even be unable to flow; that is, the flow focusing/blurring nozzle cannot function properly when the gas or liquid flow rate is too high.
- (4)
- Based on this study, the design principles for the practical application of the flow focusing/blurring nozzle have been determined. Firstly, for a specific application scenario, selecting the appropriate gas flow rate is the most effective method for designing a suitable nozzle. When the gas flow rate cannot meet the requirements, consider changing the structure (tube hole distance, orifice scheme, etc.) to control the internal gas–liquid interaction and design a nozzle that meets the requirements.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Researcher | Methods | Software | Conclusion |
---|---|---|---|
Jensen [8] | Second-order Runge–Kutta time integration algorithm; free-surface scheme | MATLAB v.7.0 R14 coupled FEMLAB | The relationship between the flow parameters, structural parameters, and the droplets size |
Nayer Nasim [21] | Standard k-epsilon viscous model; Eulerian method; second-order upwind scheme; SIMPLE method | Fluent v.6.3 | The decrease in tube hole distance leads to an increase in internal pressure of the nozzle, and the increase in air momentum causes a change in flow mode |
Herrada [24] | Laminar model; VOF method; third-order modified MUSCL scheme; PISO method | Fluent v.6.3 | The flow blurring mode is related to the stability of the liquid recirculation cell inside the nozzle |
Montanero [25] | Laminar model; VOF method; third-order modified MUSCL scheme; PISO method | Fluent v.6.3 | The viscosity of a liquid has a significant impact on the transition of flow modes |
Murugan [26] | LES; VOF method; second order central differencing implicit scheme; PISO method | Fluent v.6.3 | The radial flow of gas in the mixing zone results in a reverse flow towards the inner tube when it meets the liquid jet, enhancing gas–liquid interaction and leading to flow blurring |
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Fu, J.; Ye, Z.; Zhao, J. Experimental and Numerical Simulation of Flow Modes in Flow Focusing/Blurring Nozzle. Processes 2024, 12, 2751. https://doi.org/10.3390/pr12122751
Fu J, Ye Z, Zhao J. Experimental and Numerical Simulation of Flow Modes in Flow Focusing/Blurring Nozzle. Processes. 2024; 12(12):2751. https://doi.org/10.3390/pr12122751
Chicago/Turabian StyleFu, Juan, Zhenhuan Ye, and Jin Zhao. 2024. "Experimental and Numerical Simulation of Flow Modes in Flow Focusing/Blurring Nozzle" Processes 12, no. 12: 2751. https://doi.org/10.3390/pr12122751
APA StyleFu, J., Ye, Z., & Zhao, J. (2024). Experimental and Numerical Simulation of Flow Modes in Flow Focusing/Blurring Nozzle. Processes, 12(12), 2751. https://doi.org/10.3390/pr12122751