Search results for "Turbulence"

showing 10 items of 378 documents

Coherent flow and turbulence structures in fragmented meadows of the mediterranean seagrass posidonia oceanica

2004

Seagrass turbulence drag
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Non-equilibrium thermodynamics, heat transport and thermal waves in laminar and turbulent superfluid helium

2018

This review paper puts together some results concerning non equilibrium thermodynamics and heat transport properties of superfluid He II. A one-fluid extended model of superfluid helium, which considers heat flux as an additional independent variable, is presented, its microscopic bases are analyzed, and compared with the well known two-fluid model. In laminar situations, the fundamental fields are density, velocity, absolute temperature, and heat flux. Such a theory is able to describe the thermomechanical phenomena, the propagation of two sounds in liquid helium, and of fourth sound in superleak. It also leads in a natural way to a two-fluid model on purely macroscopical grounds and allow…

Second soundPhysicsNon-equilibrium thermodynamicsCondensed matter physicsQuantum turbulenceQuantum vortexGeneral Physics and AstronomySuperfluid filmQuantum turbulence01 natural sciences010305 fluids & plasmasVortexPhysics::Fluid DynamicsHeat waveHeat fluxHeat transfer0103 physical sciencesSecond soundHeat transferQuantized vorticeSuperfluid helium010306 general physicsSettore MAT/07 - Fisica MatematicaSuperfluid helium-4Physics Reports
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Solid sediment transport in turbulent channel flow over irregular rough boundaries

2017

Abstract The presence of a loading of dispersed particles in a turbulent flow affects the dynamics of the carrier flow field which, in turn, drives grains movement. The focus of the paper is on the analysis of the coupling effects between near-bed turbulence structures and the dynamics of dispersed suspended solid particles in wall-bounded turbulent multiphase flows. We consider turbulent horizontal channel flows bounded by rough boundaries. The friction Reynolds number of the unladen flow is R e τ = 180 and the dispersed phase spans one order of magnitude of particle diameter. To analyze sedimentation and suspended phase transport, we adopt concepts and modeling ideas derived from the Eule…

Sedimentation (water treatment)Condensed Matter PhysicLagrangian particle tracking01 natural sciences010305 fluids & plasmasSettore ICAR/01 - IdraulicaPhysics::Fluid Dynamicssymbols.namesakePhase (matter)0103 physical sciences010306 general physicsPhysicsFluid Flow and Transfer ProcessesTurbulenceMechanical EngineeringParticle-laden flowReynolds numberParticle-laden flowsMechanicsCondensed Matter PhysicsTurbulenceClassical mechanicsFlow (mathematics)Point-particle DNSsymbolsLagrangian trackingParticle mass fluxRoughneOrder of magnitude
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Closure to "Analyzing turbulence intensity in gravel bed channel"

2008

Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliFluvial hydarulics Gravel bed turbulenceSettore ICAR/01 - Idraulica
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Complete Numerical Simulation of Flow Fields in Baffled Stirred Vessels: The Inner-Outer Approach

1994

Settore ING-IND/24 - Principi Di Ingegneria ChimicaSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciStirred tankSettore ING-IND/25 - Impianti ChimiciCFDSettore ING-IND/19 - Impianti Nucleariturbulence modelling
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Turbulent heat transfer in spacer-filled channels: Experimental and computational study and selection of turbulence models

2019

Abstract Heat transfer in spacer-filled channels of the kind used in Membrane Distillation was studied in the Reynolds number range 100–2000, encompassing both steady laminar and early-turbulent flow conditions. Experimental data, including distributions of the local heat transfer coefficient h, were obtained by Liquid Crystal Thermography and Digital Image Processing. Alternative turbulence models, both of first order (k-e, RNG k-e, k-ω, BSL k-ω, SST k-ω) and of second order (LRR RS, SSG RS, ω RS, BSL RS), were tested for their ability to predict measured distributions and mean values of h. The best agreement with the experimental results was provided by first-order ω-based models able to …

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi Chimici020209 energyLiquid crystal thermographyMembrane distillation02 engineering and technologyHeat transfer coefficientMembrane distillation01 natural sciences010305 fluids & plasmassymbols.namesakeComputational fluid dynamic0103 physical sciencesDigital image processingHeat transfer0202 electrical engineering electronic engineering information engineeringRange (statistics)Overlapped spacerSettore ING-IND/19 - Impianti NucleariRANS turbulence modelPhysicsTurbulenceGeneral EngineeringReynolds numberLaminar flowMechanicsCondensed Matter PhysicsHeat transfersymbols
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Numerical prediction of flow fields in baffled stirred vessels: A comparison of alternative modelling approaches

1998

Abstract Numerical simulations of the flow field in baffled mixing tanks, based on three alternative methods, are presented and discussed. In the first method, the impeller is not explicitly simulated, and its effects are modelled by imposing suitable, empirically derived, boundary conditions to the external flow. In the second method, the whole vessel volume is divided into two concentric, partially overlapping, regions. In the inner region, containing the impeller, the flow field is simulated in the rotating reference frame of the latter, while in the outer region simulations are conducted in the reference frame of the laboratory. Information is iteratively exchanged between the two regio…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciEngineeringComputer simulationbusiness.industryTurbulenceSettore ING-IND/25 - Impianti ChimiciApplied MathematicsGeneral Chemical EngineeringFlow (psychology)Turbulence modelGeneral ChemistryMechanicsComputational fluid dynamicsRotating reference frameIndustrial and Manufacturing EngineeringExternal flowFree surface flowRushton turbineImpellerStirred tankControl theoryCFDbusinessSettore ING-IND/19 - Impianti NucleariReference frameChemical Engineering Science
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Dense solid–liquid off-bottom suspension dynamics: Simulation and experiment

2009

Dense solid–liquid off-bottom suspension inside a baffled mechanically stirred tank equipped with a standard Rushton turbine is investigated. Dynamic evolution of the suspension from start-up to steady-state conditions has been determined by both visual experiments and computational fluid dynamics (CFDs). A classical Eulerian–Eulerian multifluid model (MFM) along with the “homogeneous” k–ε turbulence model is adopted to simulate suspension dynamics. In these systems the drag inter-phase force affects both solids suspension and distribution. Therefore, different computational approaches are tested in order to compute this term. Simulation results are compared with images obtained from the re…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciEngineeringSettore ING-IND/25 - Impianti ChimiciGeneral Chemical EngineeringMixing (process engineering)Start-upComputational fluid dynamicsPhysics::Fluid Dynamicssymbols.namesakeMixingControl theorySuspensionSuspension (vehicle)Steady stateTurbulencebusiness.industryGeneral ChemistryMechanicsDragEuler equationsRushton turbineSolid–liquidDragsymbolsCFDbusinessChemical Engineering Research and Design
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CFD prediction of flow, heat and mass transfer in woven spacer-filled channels for membrane processes

2021

Abstract Flow and heat or mass transfer in channels provided with woven spacers made up of mutually orthogonal filaments were studied by Computational Fluid Dynamics. The problem addressed was the combined effect of the parameters that characterize the process: pitch to height ratio P/H (2, 3 and 4), flow attack angle θ (0, 7, 15, 20, 30, 40 and 45°) and Reynolds number Re (from ~1 to ~4000). The Prandtl number was 4.33, representative of water at ~40°C, while the Schmidt number was 600, representative of NaCl solutions. Simulations were performed by the finite volume code Ansys CFX™ 18.1 using very fine grids of ~6 to ~14 million volumes. For Re > ~400, the SST turbulence model was used to…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciMaterials science020209 energyPrandtl number02 engineering and technologyComputational fluid dynamicsSherwood numbersymbols.namesakeTemperature polarizationMass transfer0202 electrical engineering electronic engineering information engineeringPressure dropConcentration polarizationWoven spacerSettore ING-IND/19 - Impianti NucleariFluid Flow and Transfer ProcessesTurbulenceMechanical EngineeringSchmidt numberReynolds numberMechanics021001 nanoscience & nanotechnologyCondensed Matter PhysicsNusselt numberSST turbulence modelHeat transfersymbols0210 nano-technology
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Experimental and computational investigation of heat transfer in channels filled by woven spacers

2017

Abstract Models of woven-type spacer-filled channels were investigated by Computational Fluid Dynamics (CFD) and parallel experiments in order to characterize the performance of Membrane Distillation (MD) modules. The case of overlapped spacers was analysed in a companion paper. Experiments were based on a non-intrusive technique using Thermochromic Liquid Crystals (TLC) and digital image processing, and provided the distribution of the local convective heat transfer coefficient on a thermally active wall. CFD simulations ranged from steady-state conditions to unsteady and early turbulent flow, covering a Reynolds number interval of great practical interest in real MD applications. A specif…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciMaterials scienceSettore ING-IND/25 - Impianti ChimiciComputational Fluid Dynamics; Digital image processing; Membrane Distillation; Thermochromic Liquid Crystals; Woven spacerFlow (psychology)02 engineering and technologyHeat transfer coefficientComputational fluid dynamicsComputational Fluid Dynamicsymbols.namesake020401 chemical engineeringDigital image processing0204 chemical engineeringMembrane DistillationWoven spacerFluid Flow and Transfer ProcessesSettore ING-IND/24 - Principi Di Ingegneria ChimicaThermochromic Liquid CrystalTurbulencebusiness.industryMechanical EngineeringReynolds numberMechanics021001 nanoscience & nanotechnologyCondensed Matter PhysicsAspect ratio (image)Heat transfersymbols0210 nano-technologybusinessDigital image processing
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