Visualization of icing process of a water droplet impinging onto a frozen cold plate under free and forced convection

Jin, Zheyan; Jin, Songyue; Yang, Zhigang

doi:10.1007/s12650-012-0154-x

Cited by 27 publications

(25 citation statements)

References 8 publications

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“…The droplets are cooled from below at T p = −11.2, −8.2 and −5.3 • C, in accordance with the work by Jin et al [4]. At t = 0 s there is only water in the model at a temperature of T w = 21 • C, which has no initial velocity and zero pressure.…”

Section: Simulation Settingssupporting

confidence: 86%

“…The geometries investigated in the simulations are based on the experiments by Jin et al [4], where the droplets have an initial volume of V d = 9.32 μL. In the simulations, the droplets are kept at this volume throughout the freezing process to ensure that the correct amount of water is being cooled.…”

Section: Geometry and Grid Generationmentioning

confidence: 99%

“…The total V d will in its turn increase during freezing due the specific volume of the ice, leading to a increased θ and a. To investigate the influence of a, r and θ on the freezing process, three representative θ are approximated from the experiments by Jin et al [4]. For the three times, t = 0, 6 and 12 s, a ≈ 0.80r, 0.86r and r are retrieved.…”

Section: Geometry and Grid Generationmentioning

confidence: 99%

“…on wind turbines, airplane wings, and roads, calls for a better understanding of the freezing process for water droplets on cold surfaces. Previous research has identified a number of factors important to the freezing process such as the temperature of the cooling surface, T p [1], the size of the droplet [2] the impact of free and forced convection [3,4], the roughness and wettability of a surface [5], the freezing on superhydrophobic surfaces, e.g. [6], the effect of an inclined surface [7][8][9], internal heat transfer [10,11] and internal flow [12].…”

Section: Introductionmentioning

confidence: 99%

“…Two cases are considered, one where internal natural convection is included in the model (case 2), and one where it is not (case 1). The experimental work done by Jin et al [4] is used to validate the numerical model.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the dynamics of the flow within freezing water droplets

2018

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The flow within freezing water droplets is here numerically modelled assuming fixed shape throughout freezing. Three droplets are studied with equal volume but different contact angles and two cases are considered, one including internal natural convection and one where it is excluded, i.e. a case where the effects of density differences is not considered. The shape of the freezing front is similar to experimental observations in the literature and the freezing time is well predicted for colder substrate temperatures. The latter is found to be clearly dependent on the plate temperature and contact angle. Including density differences has only a minor influence on the freezing time, but it has a considerable effect on the dynamics of the internal flow. To exemplify, in the vicinity of the density maximum for water (4 • C) the velocities are about 100 times higher when internal natural convection is considered for as compared to when it is not.

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Section: Simulation Settingssupporting

confidence: 86%

Section: Geometry and Grid Generationmentioning

confidence: 99%

Section: Geometry and Grid Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modelling the dynamics of the flow within freezing water droplets

2018

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Experimental study of the internal flow in freezing water droplets on a cold surface

et al. 2019

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The study of a freezing droplet is interesting in areas, where the understanding of build up of ice is important, for example, on wind turbines, airplane wings and roads. In this work, the main focus is to study the internal motion inside freezing water droplets using particle image velocimetry and to reveal if mechanisms such as natural convection and Marangoni convection have a noticeable influence on the flow within the droplet. The flow has successfully been visualized and measured for the first 25% of the total freezing time of the droplet when the velocity in the water is the highest and when the characteristic vortices can be seen. After this initial time period, the high amount of ice in the droplet scatters the PIV light sheet too much and the images retrieved are not suitable for analysis. Initially, it can be seen that the Marangoni effects have a large impact on the internal flow, but after about 15% of the total freezing time, the flow turns indicating increased effects of natural convection on the flow. Shortly after this time, almost no internal flow can be seen.

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Numerical simulation of the freezing process of a water drop attached to a cold plate

Dao

Pham

2018

J Mech Sci Technol

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Visualization of icing process of a water droplet impinging onto a frozen cold plate under free and forced convection

Cited by 27 publications

References 8 publications

Modelling the dynamics of the flow within freezing water droplets

Modelling the dynamics of the flow within freezing water droplets

Experimental study of the internal flow in freezing water droplets on a cold surface

Numerical simulation of the freezing process of a water drop attached to a cold plate

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