New experimental and modeling results, referring to heating and evaporation of sessile and pendant water droplet on a biphilic surface, are presented. Two modeling approaches are used: one based on the previously developed variable density model in which the droplet shape in the presence of gravity is described by the Bashforth-Adams equation, and the other based on ANSYS Fluent. It is shown that the results predicted by both approaches almost coincide in the absence of gravity, which can be considered as verification of both approaches. The predictions of both approaches are shown to be close to experimental results for pendant droplets. For sessile droplets, however, both approaches tend to under-predict experimental data. The difference in model predictions, taking and not taking into account the effect of natural convection, is shown not to exceed 3% for the experimental conditions under consideration.
(2025). Sessile and suspended droplets on a biphilic surface in the presence of natural convection: Experimental studies and modeling [journal article - articolo]. In PHYSICS OF FLUIDS. Retrieved from https://hdl.handle.net/10446/317845
Sessile and suspended droplets on a biphilic surface in the presence of natural convection: Experimental studies and modeling
Tonini, Simona;Conti, Pierangelo;Cossali, Gianpietro;
2025-01-01
Abstract
New experimental and modeling results, referring to heating and evaporation of sessile and pendant water droplet on a biphilic surface, are presented. Two modeling approaches are used: one based on the previously developed variable density model in which the droplet shape in the presence of gravity is described by the Bashforth-Adams equation, and the other based on ANSYS Fluent. It is shown that the results predicted by both approaches almost coincide in the absence of gravity, which can be considered as verification of both approaches. The predictions of both approaches are shown to be close to experimental results for pendant droplets. For sessile droplets, however, both approaches tend to under-predict experimental data. The difference in model predictions, taking and not taking into account the effect of natural convection, is shown not to exceed 3% for the experimental conditions under consideration.| File | Dimensione del file | Formato | |
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