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  • Open Access

    ARTICLE

    Experimental Study of the Effect of Water Salinity on the Parameters of an Equilibrium Droplet Cluster Levitating over a Water Layer

    Alexander A. Fedorets1, Eduard E. Kolmakov1, Leonid A. Dombrovsky1,2,3,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.1, pp. 1-14, 2024, DOI:10.32604/fhmt.2024.049335 - 21 March 2024

    Abstract New experimental results, which are important for the potential use of small levitating droplets as biochemical microreactors, are reported. It is shown that the combination of infrared heating and reduced evaporation of saline water under the droplet cluster is sufficient to produce equilibrium saltwater droplets over a wide temperature range. The resulting universal dependence of droplet size on temperature simplifies the choice of optimal conditions for generating stable droplet clusters with droplets of the desired size. A physical analysis of the experimental results on the equilibrium size of saltwater droplets makes it possible to separate More > Graphic Abstract

    Experimental Study of the Effect of Water Salinity on the Parameters of an Equilibrium Droplet Cluster Levitating over a Water Layer

  • Open Access

    ARTICLE

    Chance-Constrained Optimization of Pumping in Coastal Aquifers by Stochastic Boundary Element Method and Genetic Algorithm

    B. Amaziane1, A. Naji2, D. Ouazar3, A. H.-D. Cheng4

    CMC-Computers, Materials & Continua, Vol.2, No.2, pp. 85-96, 2005, DOI:10.3970/cmc.2005.002.085

    Abstract In this paper the optimization of groundwater pumping in coastal aquifers under the threat of saltwater intrusion is investigated. The aquifer is inhomogeneous and contains several hydraulic conductivities zones. The aquifer data such as the hydraulic conductivities are uncertain, but with their expected mean and standard deviation values given. A stochastic boundary element method based on the perturbation technique is employed as the simulation tool. The stochastic optimization is handled by the chance-constrained programming. Genetic algorithm is selected as the optimization tool. Numerical examples of deterministic and stochastic problems are provided to demonstrate the feasibility More >

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