Predicting the Growth of Many Droplets During Vapor-Diffusion-Driven Dropwise Condensation Experiments Using the Point Sink Superposition Method
Water vapor present in humid air will condense in the form of many small droplets on a cooled substrate. After nucleation, the diffusion of vapor from the environment to the droplets dominates their growth by condensation, and therefore, all droplets must compete for the vapor available in the surroundings. Models that assume droplets grow in isolation or as an equivalent film poorly capture their interaction during vapor-diffusion-driven condensation and do not correspond with experimental condensation rates. By treating the droplets as point sinks, the interaction between all droplets in a system can be captured by superposing the vapor distributions of each droplet. This paper presents direct comparisons of condensation rates measured in experiments and predicted with a point sink superposition method. The results indicate that it is critical to consider a large number of interacting droplets to accurately predict the condensation behavior. Even though the intensity of the interaction between droplets decreases sharply with their separation distance, droplets located relatively far away from a given droplet must be considered to accurately predict its condensation rate, due to the large aggregate effect of all such far away droplets. By considering an appropriate number of interacting droplets in a system, the point sink superposition method is able to predict experimental condensation rates to within 5%.
Date of this Version
J.E. Castillo and J.A. Weibel, “Predicting the Growth of Many Droplets During Vapor-Diffusion-Driven Dropwise Condensation Experiments Using the Point Sink Superposition Method,” International Journal of Heat and Mass Transfer 133, pp. 641-651, 2019.