Validation of volume-of-fluid OpenFOAM® isoAdvector solvers using single bubble benchmarks

Gamet, Lionel; Scala, Marco; Roenby, Johan; Scheufler, Henning; Pierson, Jean Lou

doi:10.1016/j.compfluid.2020.104722

Cited by 74 publications

(48 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The present study adopts the geometric reconstruction, proposed by Cummins, Francois & Kothe (2005) and later adopted by Gamet et al. (2020), in which the curvature is calculated by the RDF, , as A geometrical clarification of the RDF is provided in figure 1. The RDF is calculated in a band around the interface, using the following: the normalized gradient of the RDF is then calculated as the last step is a computation of the curvature, performed by first by taking the divergence of and then interpolating it from cell centres to the interface.…”

Section: Numerical Approachmentioning

confidence: 99%

“…The RDF in a cell is measured as the minimum distance from the cell barycentre to the interface. The method employed in this study follows approaches by (Roenby et al 2017;Scheufler & Roenby 2019), in which the reconstructed interface is transported geometrically using the isoAdvector method to improve accuracy, as compared with the algebraic counterpart (Gamet et al 2020). While they are useful in many practical applications, algebraic methods suffer from numerical diffusion at the interface due to discontinuity in the volume fraction function.…”

Section: Interface Reconstructionmentioning

confidence: 99%

“…Popinet (2018) identified four categories: smoothed volume fraction; level set; height function; and geometric reconstruction. The present study adopts the geometric reconstruction, proposed by Cummins, Francois & Kothe (2005) and later adopted by Gamet et al (2020), in which the curvature is calculated by the RDF, φ, as…”

Section: Surface Tension Implementationmentioning

confidence: 99%

See 2 more Smart Citations

A computational study of thermally induced secondary atomization in multicomponent droplets

et al. 2022

View full text Add to dashboard Cite

This study presents computational simulations of multicomponent and multiphase flows to reproduce the physical phenomena in the secondary atomization of a droplet induced by a hot temperature environment. The computational fluid dynamics model is based on the geometric volume of fluid method, with piecewise linear interface calculation reconstruction for accurate determination of the curvature and evaporation fluxes at the interface. The purpose of the model was to faithfully reproduce complex physical processes, such as internal gas cavity formation, liquid–vapour interface instability, cavity collapse and liquid jet ejection, and the pinch-off of a secondary droplet, leading to the microexplosion phenomenon that greatly enhances the evaporation rate of non-volatile liquid droplets. The solver was validated against the analytical solution in benchmark cases, and experimental data with bicomponent droplets reported in the literature. The developed model was used to predict the atomization of heavy fuel oil exposed at high temperatures under microgravity conditions. Different atomization regimes were identified, depending on the initial size of the internal bubbles. While small bubbles led to simple gas ejections, cavity collapse caused the larger bubbles to produce a jet formation. When the ratio between the bubble and droplet volumes was bigger than 0.7, microexplosions occurred. The results were found to be consistent with cases of bubble burst on flat surfaces, showing a strong dependence on the Ohnesorge number ( $Oh$ ). Key observable quantities, particularly jet velocity and bubble cap drainage velocity, were found to agree with correlations reported in other studies. The similarities were also supported by studies extending over a wide range of simulations (4000 cases) at different $Oh$ . An inversion in the dependence of the jet velocity on $Oh$ (above a critical value $Oh_c$ ) was observed.

show abstract

Section: Numerical Approachmentioning

confidence: 99%

Section: Interface Reconstructionmentioning

confidence: 99%

See 1 more Smart Citation

A computational study of thermally induced secondary atomization in multicomponent droplets

et al. 2022

View full text Add to dashboard Cite

show abstract

“…A multitude of improvements to the continuous force model have been proposed, ranging from more accurate curvature estimation algorithms to more robust discrete handling of the balance between pressure and surface tension forces; see, for example, [26]. An improved interface reconstruction algorithm for the herein-used geometric VoF method was recently validated in [27]. The results showed a reduction in parasitic current in the canonical benchmark case of a stagnant bubble in a quiescent liquid.…”

Section: Instability Sources In Vof Simulationsmentioning

confidence: 99%

Large-Eddy Simulation of a Classical Hydraulic Jump: Influence of Modelling Parameters on the Predictive Accuracy

Mukha

Almeland

Bensow

2022

Fluids

View full text Add to dashboard Cite

Results from large-eddy simulations of a classical hydraulic jump at inlet Froude number two are reported. The computations were performed using the general-purpose finite-volume-based code OpenFOAM®, and the primary goal was to evaluate the influence of the modelling parameters on the predictive accuracy, as well as establish the associated best-practice guidelines. A benchmark simulation was conducted on a grid with a 1 mm-cell-edge length to validate the solver and provide a reference solution for the parameter influence study. The remaining simulations covered different selections of the modelling parameters: geometric vs. algebraic interface capturing, three mesh resolution levels, and four choices of the convective flux interpolation scheme. Geometric interface capturing led to better accuracy, but deteriorated the numerical stability and increased the simulation times. Interestingly, numerical dissipation was shown to systematically improve the results, both in terms of accuracy and stability. Strong sensitivity to the grid resolution was observed directly downstream of the toe of the jump.

show abstract

“…From interIsoFoam, the isoAdvector algorithm applied introduces a sub-grid scale model for estimating intracellular distribution from the given volume fraction data to capture this local distribution information to keep the density field sharp and bounded. Further information on the isoAdvector algorithm is provided in Gamet et al [9].…”

Section: Governing Equationsmentioning

confidence: 99%

Numerical Prediction of a Large Bubble Behavior in Wall Turbulent Flow

Oshima¹,

Kim²

2021

14th WCCM-ECCOMAS Congress

View full text Add to dashboard Cite

Air lubrication systems for underwater applications have gained great popularity in recent years. Large bubbles, around We ≥ 100, show a large area of drag reduction than a small and microbubble, especially for large scale flow problems such as ship surface. However, it is hard to maintain their shape and prone to deform in a turbulent flow. In order to understand and control the drag reduction mechanism by the large bubble injection, it is necessary to know the behavior of large bubbles in the turbulent boundary layer and their interaction with the skin friction. In this study, a solver "interIsoFoam" for two-phase flow of an open-license software "OpenFOAM" is applied for an LES of turbulent channel flow with a large bubble, the gas-liquid interface of which is directly captured by improved VOF method. In a recent publication [1], we presented the numerical procedure of how to inject the large bubble on turbulent channel flow. The research objectives in this study are investigation on flow change of the horizontal channel flow included large bubble. From this observation, understanding large bubbles characteristic such as the surrounding flow phenomena was observed.

show abstract

Validation of volume-of-fluid OpenFOAM® isoAdvector solvers using single bubble benchmarks

Cited by 74 publications

References 28 publications

A computational study of thermally induced secondary atomization in multicomponent droplets

A computational study of thermally induced secondary atomization in multicomponent droplets

Large-Eddy Simulation of a Classical Hydraulic Jump: Influence of Modelling Parameters on the Predictive Accuracy

Numerical Prediction of a Large Bubble Behavior in Wall Turbulent Flow

Contact Info

Product

Resources

About