Direct Numerical Simulation of Droplet Impact on a Liquid-Liquid Interface Using a Level-Set/Volume-Of-Fluid Method with multiple Interface Marker Functions

Coyajee, Emil; Delfos, R.; Slot, Harmen; Boersma, Bendiks Jan

doi:10.1007/978-1-4020-5152-2_38

Cited by 2 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this manner it will be possible to calculate vector fields with an optimal particle image displacement throughout the whole vector field series and within each field. The comparison of the experimental data presented in this study with numerical calculations presented by [2] reaches at this stage a basic level. The parameters extracted from the experiment can only provide general statements about the capability of the simulation to predict the flow pattern.…”

Section: Discussionmentioning

confidence: 52%

“…First, the result of the optimization is presented and discussed. Second, a brief comparison with the corresponding numerical simulation [2] is given.…”

Section: Resultsmentioning

confidence: 99%

“…For the validation of the above mentioned simulation [2] a droplet impact without immediate breakup is needed. To produce this kind of impact, rapid drainage of the film between the droplet and the upper surface has to be suppressed.…”

Section: Experimental Facilitymentioning

confidence: 99%

“…In this section, results of the experimental investigation are compared to results of the numerical study by Coyajee et al [2]. In the numerical study, drop impact on an interface is simulated using the MCLS method [10], a Finite difference/ Front-capturing method.…”

Section: Comparison Of Simulation and Experimentsmentioning

confidence: 99%

“…The interface is tracked with a combined Level-Set/Volumeof-Fluid method. For further details on the computational method, we refer to [9], [10] and [2].…”

Section: Comparison Of Simulation and Experimentsmentioning

confidence: 99%

See 4 more Smart Citations

Experimental investigation of an oil droplet colliding with an oil-water interface

Miessner,

Coyajee,

Delfos

et al. 2011

Preprint

Self Cite

View full text Add to dashboard Cite

The impact of a buoyancy driven oil droplet with an oil-water interface is investigated using timeresolved Particle Image Velocimetry (PIV) along with a phase discrimination by means of highspeed Laser Induced Fluorescence (LIF). In this paper we focus on the investigation of strategies to optimize the performance of high-speed PIV algorithms. Furthermore this data will be used for validation of numerical simulations of two phase flows. In order to simultaneously measure the flow velocities inside and around the oil droplet by means of PIV the refractive indices of both phases need to be carefully matched. The aqueous phase consists of a mixture of corn syrup and water, which defines the viscosity as well as the refractive index. The disperse phase consists of a mixture of two kinds of mineral oils. The latter are mixed to match the refractive index of the continuous phase. Both phases are seeded with tracer particles required for PIV. A fluorescent dye is added to the dispersed phase to allow discrimination of the PIV signals originating from both phases by means of LIF. The LIF and PIV signals are captured by two aligned, synchronized highspeed cameras, each used for one of the measurement techniques. In order to study the impact of an oil droplet into an oil-water interface, it is necessary to accurately measure a velocity range that is spread over three orders of magnitude. The impact of the droplet is measured in a time series of PIV recordings with a high temporal resolution. This allows to optimize the time interval between two correlated frames within the time series to achieve a high signal-to-noise ratio, while still being able to measure a large velocity dynamic range. An approach to estimate an optimal time separation is presented in this study. The results are compared to the experimental data of Mohamed-Kassim and Longmire [1] and the effectiveness of the introduced optimization on the data quality is discussed. Furthermore the results of this experiment are compared to a numerical simulation developed by Coyajee et al.[2].

show abstract

Section: Discussionmentioning

confidence: 52%

“…First, the result of the optimization is presented and discussed. Second, a brief comparison with the corresponding numerical simulation [2] is given.…”

Section: Resultsmentioning

confidence: 99%

Section: Experimental Facilitymentioning

confidence: 99%

Section: Comparison Of Simulation and Experimentsmentioning

confidence: 99%

“…The interface is tracked with a combined Level-Set/Volumeof-Fluid method. For further details on the computational method, we refer to [9], [10] and [2].…”

Section: Comparison Of Simulation and Experimentsmentioning

confidence: 99%

See 3 more Smart Citations