Numerical simulation of bubble generation in a T-junction

Calderón, Santiago Arias; Legendre, Dominique; González-Cinca, Ricard

doi:10.1016/j.compfluid.2011.11.013

Cited by 33 publications

(34 citation statements)

References 39 publications

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“…The paper presented here is a continuation of a previous study [1], completing it and extending it to 3D. Some parameters are now studied in more depth, such as the bubble generation frequency, a new model of frequency being developed here, and new values of interest are presented, such as the bubble velocity, volume void fraction, Strouhal number, bubble volume and the equivalent diameter.…”

Section: Introductionmentioning

confidence: 89%

“…The contact angle is the angle between the wall and the tangent to the interface at the wall. A contact angle of 0 • was set up as wall adhesion (hydrophilic condition) on the horizontal walls, and of 25 • on the vertical walls, based on experimental data [1]. Water and air inlets are considered as velocity inlets, with the corresponding fluid velocity in each case of study, namely U SL and U SG .…”

Section: Flow Solvermentioning

confidence: 99%

“…More recently, a fluid dynamics numerical study of the formation of mini-bubbles in a 2D T-junction was presented [1], and results on the behaviour of bubble velocity, void fraction, bubble generation frequency and characteristic lengths were obtained and compared to experimental data. Also using a two-dimensional numerical model with Volume of Fluid method (VOF), alternating droplet formation, with applications such as nanoparticle synthesis, hydrogel bead generation, and cell transplantation in biomedical therapy, was studied [7].…”

Section: Introductionmentioning

confidence: 99%

“…Section 2 presents the T-junction problem statement. Section 3 summarises the methodology used in the experimental study, following the one used in [1], as well as the hypotheses used in the numerical simulations and their validations. Section 4 exposes the results of the numerical simulations and compares them to the experimental ones.…”

Section: Introductionmentioning

confidence: 99%

“…This work presents a 3D numerical study of the bubble generation process into a bubble generator obtained with the commercial Computational Fluid Dynamics solver ANSYS Fluent v15.0.7, and its comparison with experimental data reproducing the same conditions [1]. The bubble generator is formed by two perpendicular capillaries in which liquid and gas are injected at perpendicular directions into a 1 mm internal diameter capillary T-junction with a total length of 10 mm.…”

mentioning

confidence: 99%

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A 3d CFD Numerical Study of the Bubble Generation Process Into a Bubble T-Junction Generator and Its Comparison With Experimental Data: Part I

Calderón¹,

Montlaur²

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. This work presents a 3D numerical study of the bubble generation process into a bubble generator obtained with the commercial Computational Fluid Dynamics solver ANSYS Fluent v15.0.7, and its comparison with experimental data reproducing the same conditions [1]. The bubble generator is formed by two perpendicular capillaries in which liquid and gas are injected at perpendicular directions into a 1 mm internal diameter capillary T-junction with a total length of 10 mm. The fluids used in experiments and CFD simulations are air and water, both of them considered incompressible and isothermal, at a room temperature of 25 • . A total of 23 different cases are studied for different injection conditions, and results between numerical simulations and experiments are compared.In this first part of the analysis, we focus on the flow pattern regimes and the dynamics of the bubble generation process. In addition to the new numerical simulations presented here, a new model has been used to predict the bubble generation frequency and tested with both experimental and numerical data. Results on bubble generation frequency are also presented by means of the non-dimensional Strouhal number. Same types of patterns, bubble and slug flow regimes, are obtained in simulations and experiments. In order to perform an exhaustive validation and comparison of numerical simulations with experimental data, several parameters have been selected: bubble velocity, volumetric void fraction, bubble generation frequency, Strouhal number and bubble equivalent diameter. Numerical simulations agree qualitatively, but not always quantitatively, with experimental results.

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Section: Introductionmentioning

confidence: 89%

Section: Flow Solvermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

A 3d CFD Numerical Study of the Bubble Generation Process Into a Bubble T-Junction Generator and Its Comparison With Experimental Data: Part I

Calderón¹,

Montlaur²

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Numerical study of phase split characteristics of slug flow at a branching micro‐T‐junction

Dong

Zhang

Wang

et al. 2018

Asia-Pacific J Chem Eng

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The phase split behavior of air-water slug flow at branching micro-T-junctions was studied by the volume of fluid model. The effects of velocity, surface tension, and viscosity on phase split results have been tested by slug units of fixed length. The split of a gas bubble at the T-junction shows obstructing and nonobstructing modes. Through comparison, we found that the appearance of tunnels changes the driving force of bubble breakup from upstream pressure to viscous shearing force. Split features are influenced by the length of slug unit and the flow ratio in the obstructing mode. Nevertheless, the viscous force and surface tension should not be slighted for nonobstructing mode. Moreover, tendency of the flow maldistribution of nonobstructing mode is more pronounced with higher velocity and smaller surface tension. The liquid slug length has a negligible effect on the split results of gas phase. Thus, the results of two-phase split could be obtained from the gas split ratio solely. Pattern diagram for the transition between the 2 modes was proposed. Eventually, the importance of the length information of slug unit was also verified by the predictive model of phase split that formulated with the regression analysis of numerical data.

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