Search results for " Computational Fluid Dynamics"

showing 10 items of 23 documents

COMPUTATIONAL FLUID DYNAMICS OF TYPE B AORTIC DISSECTION

2014

Type B aortic dissection (AoD) is a disease connected to high blood load on the aortic wall and to a reduced aortic wall resistance. Nowadays, prognosis on type B AoD results to be particularly difficult with an high incidence of patients treated with medical therapy which manifest complication connected with dissection and which should have been treated with surgical repair immediately. This work aims to study those haemodynamical and morphological proprieties of dissected aorta, which can influence the progression or stability of type B AoD. Computational fluid-dynamic analyses were performed on twenty-five patients with type B AoD, whose nine presented an aneurysm evolution and sixteen p…

Aortic Dissection Computational Fluid Dynamics Entry Tear Height False Lumen FlowAortic Dissection Computational Fluid Dynamics Entry Tear Height False Lumen Flow
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Numerical and Experimental Investigation of Equivalence Ratio (ER) and Feedstock Particle Size on Birchwood Gasification

2017

This paper discusses the characteristics of Birchwood gasification using the simulated results of a Computational Fluid Dynamics (CFD) model. The CFD model is developed and validated with the experimental results obtained with the fixed bed downdraft gasifier available at the University of Agder (UIA), Norway. In this work, several parameters are examined and given importance, such as producer gas yield, syngas composition, lower heating value (LHV), and cold gas efficiency (CGE) of the syngas. The behavior of the parameters mentioned above is examined by varying the biomass particle size. The diameters of the two biomass particles are 11.5 mm and 9.18 mm. All the parameters investigate wit…

Control and OptimizationBirchwood gasification020209 energycold gas efficiencyEnergy Engineering and Power TechnologyBiomassThermodynamics02 engineering and technologycomputational fluid dynamicsBirchwood gasification; computational fluid dynamics; equivalence ratio; cold gas efficiency; syngaslcsh:Technologyequivalence ratio0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEngineering (miscellaneous)Petroleum engineeringRenewable Energy Sustainability and the EnvironmentChemistrylcsh:TProducer gassyngasYield (chemistry)ParticleHeat of combustionParticle sizeMass fractionEnergy (miscellaneous)Syngas
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Experimental and Numerical Analysis of a Cross-Flow Turbine

2016

An important component of the management cost of aqueducts is the energy costs. Part of these costs can be recovered by transforming some of the many existing energy dissipations into electric energy by means of economical turbines. This paper describes an experimental study that has been carried out in order to (1) test the performance of an economical cross-flow turbine that maintains high efficiency within a large range of water discharges, and (2) validate a new approximate formula relating main inlet velocity to inlet pressure. It is demonstrated that the proposed formula, on the basis of some simplifying assumptions, exactly links inlet velocity to inlet pressure with any possible geo…

EngineeringInlet velocitybusiness.industry020209 energyMechanical EngineeringNumerical analysisCross-flow turbines Water turbines Turbine experiments Turbine hydraulic design Computational fluid dynamicsMechanical engineering02 engineering and technologyLarge rangeComputational fluid dynamicsTurbineSettore ICAR/01 - IdraulicaElectric energy0202 electrical engineering electronic engineering information engineeringCross-flow turbinebusinessEnergy (signal processing)Water Science and TechnologyCivil and Structural EngineeringMarine engineeringJournal of Hydraulic Engineering
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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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CFD simulations of dense solid–liquid suspensions in baffled stirred tanks: Prediction of solid particle distribution

2013

Abstract Industrial tanks devoted to the mixing of solid particles into liquids are often operated at an impeller speed N less than Njs (defined as the lowest speed allowing the suspension of all particles): under such conditions the distribution of solid-particles is very far from being homogeneous and very significant concentration gradients exist. The present work is devoted to assessing the capability of Computational Fluid Dynamics (CFD) in predicting the particle distribution throughout the tank. The CFD model proposed by Tamburini et al. [58] and successfully applied to the prediction of the sediment amount and shape was adopted here to simulate the particle distribution under partia…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciSteady statebusiness.industryGeneral Chemical EngineeringSettore ING-IND/25 - Impianti ChimiciMixing (process engineering)Mechanical engineeringGeneral ChemistryMechanicsComputational fluid dynamicsIndustrial and Manufacturing EngineeringRushton turbineImpellerSettore ING-IND/06 - FluidodinamicaEnvironmental ChemistryParticleMulti Fluid Model (MFM) Computational Fluid Dynamics (CFD) turbulence closure solid-liquid suspension partial suspension drag force stirred tank particle distribution Unsuspended Solid Criterion (USC)Suspension (vehicle)businessReynolds-averaged Navier–Stokes equations
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Fluid–structure interaction of downwind sails: a new computational method

2018

The spreading of high computational resources at very low costs led, over the years, to develop new numerical approaches to simulate the fluid surrounding a sail and to investigate the fluid–structure interaction. Most methods have concentrated on upwind sails, due to the difficulty of implementing downwind sailing configurations that present, usually, the problem of massive flow separation and large displacements of the sail under wind load. For these reasons, the problem of simulating the fluid–structure interaction (FSI) on downwind sails is still subject of intensive investigation. In this paper, a new weak coupled procedure between a RANS solver and a FEM one has been implemented t…

Finite element methodComputer science020101 civil engineeringOcean Engineering02 engineering and technologyComputational fluid dynamicsMainsailInteractive sail designOceanographyWind speed0201 civil engineeringComputational fluid dynamicFluid–structure interactionMechanics of MaterialSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industrialebusiness.industryMechanical EngineeringSolverFinite element methodWind engineeringMechanics of MaterialsGennakerFluid–structure interaction Finite element method Computational fluid dynamics Gennaker Mainsail Interactive sail designConvergence problembusinessReynolds-averaged Navier–Stokes equationsFluid–structure interactionMarine engineering
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A study of turbulent heat transfer in curved pipes by numerical simulation

2013

Abstract Turbulent heat transfer in curved pipes was studied by numerical simulation. Two curvatures δ (pipe radius a/curvature radius c) were considered, 0.1 and 0.3; results were also obtained for a straight pipe (δ = 0) for comparison purposes. A tract of pipe 5 diameters in length was chosen as the computational domain and was discretized by finite volume multiblock-structured grids of ∼5.3 × 106 hexahedral cells. Fully developed conditions were assumed; the friction velocity Reynolds number was 500, corresponding to bulk Reynolds numbers between 12 630 and ∼17 350 according to the curvature, while the Prandtl number was 0.86 (representative of saturated liquid water at 58 bar). Simulat…

Fluid Flow and Transfer ProcessesPhysicsTurbulenceMechanical EngineeringPrandtl numberDirect numerical simulationReynolds numberMechanicsHeat transfer coefficientCondensed Matter PhysicsCurvaturePhysics::Fluid Dynamicssymbols.namesakeClassical mechanicsTurbulent heat transfer curved pipe Direct Numerical Simulation Computational Fluid Dynamics Finite Volume MethodHeat transfersymbolsShear velocitySettore ING-IND/19 - Impianti Nucleari
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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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Transition to turbulence in toroidal pipes

2011

AbstractIncompressible flow in toroidal pipes of circular cross-section was investigated by three-dimensional, time-dependent numerical simulations using a finite volume method. The computational domain included a whole torus and was discretized by up to ${\ensuremath{\sim} }11. 4\ensuremath{\times} 1{0}^{6} $ nodes. Two curvatures $\delta $ (radius of the cross-section/radius of the torus), namely 0.3 and 0.1, were examined; a streamwise forcing term was imposed, and its magnitude was made to vary so that the bulk Reynolds number ranged between ${\ensuremath{\sim} }3500$ and ${\ensuremath{\sim} }14\hspace{0.167em} 700$. The results were processed by different techniques in order to confirm…

PhysicsHopf bifurcationTurbulenceMechanical EngineeringReynolds numberTorusMechanicstransition to turbulence periodic flow quasi-periodic flow computational fluid dynamics curved pipe toroidal pipeCondensed Matter PhysicsSecondary flowVortexVortex ringsymbols.namesakeMechanics of MaterialsIncompressible flowsymbolsSettore ING-IND/19 - Impianti NucleariJournal of Fluid Mechanics
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Analysis of the bubbling behaviour of 2-D gas solid fluidized beds part II: Comparison between experiments and numerical simulations via Digital Imag…

2009

In the field of gas–solid fluidization, bubbles, and all features regarding them, have a very great importance, as they significantly affect the process performance. Numerous experimental studies on bubbles, and their formation, evolution, and properties, have been performed in the past. These investigations appear particularly difficult, due to the nature of these systems, since the gas phase is distributed in both the bubble and the emulsion phase. Several experimental approaches have been developed to tackle this study. Among these, the Digital Image Analysis Technique purposely developed in Part I of the present work, based on the use of a video camera for monitoring the phenomenon coup…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciFluidization Computational fluid dynamics Digital Image Analysis TechniqueSettore ING-IND/25 - Impianti Chimici
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