0000000000587642

AUTHOR

M F La Cerva

showing 3 related works from this author

Mass transfer in ducts with transpiring walls

2019

Abstract The problem of mass transfer in ducts with transpiring walls is analysed: the concepts of “solvent” and “solute” fluxes are introduced, all possible sign combinations for these fluxes are considered, and relevant examples from membrane processes such as electrodialysis, reverse osmosis and filtration are identified. Besides the dimensionless numbers commonly defined in studying flow and mass transfer problems, new dimensionless quantities appropriate to transpiration problems are introduced, and their limiting values, associated with “drying”, “desalting” and “saturation” conditions, are identified. A simple model predicting the Sherwood number Sh under all possible flux sign combi…

Fluid Flow and Transfer ProcessesSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimicibusiness.industryMechanical EngineeringSchmidt numberFlow (psychology)02 engineering and technologyMechanicsComputational fluid dynamics021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesSherwood number010305 fluids & plasmasMass transfer Transpiring wall Sherwood number Computational fluid dynamics Parallel flowMass transfer0103 physical sciencesDiffusion (business)0210 nano-technologybusinessSaturation (chemistry)Settore ING-IND/19 - Impianti NucleariDimensionless quantityMathematicsInternational Journal of Heat and Mass Transfer
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Coupling CFD with a one-dimensional model to predict the performance of reverse electrodialysis stacks

2017

Abstract Different computer-based simulation models, able to predict the performance of Reverse ElectroDialysis (RED) systems, are currently used to investigate the potentials of alternative designs, to orient experimental activities and to design/optimize prototypes. The simulation approach described here combines a one-dimensional modelling of a RED stack with a fully three-dimensional finite volume modelling of the electrolyte channels, either planar or equipped with different spacers or profiled membranes. An advanced three-dimensional code was used to provide correlations for the friction coefficient (based on 3-D solutions of the continuity and Navier-Stokes equations) and the Sherwoo…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciSettore ING-IND/25 - Impianti ChimiciReverse electrodialysis; Saline Gradient Energy; Ion Exchange Membrane; Computational Fluid Dynamics; Mass transferFiltration and Separation02 engineering and technologyComputational Fluid DynamicComputational fluid dynamicsBiochemistry020401 chemical engineeringStack (abstract data type)Reversed electrodialysisReverse electrodialysiPerformance predictionMass transferGeneral Materials Science0204 chemical engineeringPhysical and Theoretical ChemistrySettore ING-IND/19 - Impianti NucleariSimulationIon Exchange MembraneLaplace's equationSettore ING-IND/24 - Principi Di Ingegneria ChimicaSaline Gradient EnergyFinite volume methodbusiness.industryScalar (physics)Mechanics021001 nanoscience & nanotechnologySettore ING-IND/06 - Fluidodinamica0210 nano-technologyConvection–diffusion equationbusinessJournal of Membrane Science
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Influence of the boundary conditions on heat and mass transfer in spacer-filled channels

2017

The purpose of this study is to discuss some problems which arise in heat or mass transfer in complex channels, with special reference to the spacer-filled channels adopted in membrane processes. Among the issues addressed are the consistent definition of local and mean heat or mass transfer coefficients; the influence of the wall boundary conditions; the influence of one-side versus two-side heat/mass transfer. Most of the results discussed were obtained by finite volume CFD simulations concerning heat transfer in Membrane Distillation or mass transfer in Electrodialysis and Reverse Electrodialysis, but many of the conclusions apply also to different processes involving geometrically compl…

HistoryMaterials scienceConvective heat transferFilm temperature02 engineering and technologyMechanicsHeat transfer coefficientElectrodialysis021001 nanoscience & nanotechnologyChurchill–Bernstein equationComputer Science ApplicationsEducationPhysics and Astronomy (all)020401 chemical engineeringMass transferReversed electrodialysisHeat transfer0204 chemical engineering0210 nano-technology
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