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Tuesday, November 10, 2020 | History

2 edition of computational model for gas-particle flows with distributed phase interfaces. found in the catalog.

computational model for gas-particle flows with distributed phase interfaces.

Chak M. Tsui

computational model for gas-particle flows with distributed phase interfaces.

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  • 21 Currently reading

Published by Dept. of Aerospace Science and Engineering, Unieristy of Toronto in [Toronto] .
Written in English


Edition Notes

SeriesCanadian theses = Thèses canadiennes
The Physical Object
Pagination52 leaves.
Number of Pages52
ID Numbers
Open LibraryOL18865579M

  A common tool for the determination of thermal characteristics of vehicle radiators is the experimental testing. However, experimental testing may not be feasible considering the cost and labor-time. Basic understanding of the past experimental data and analytical/computational modeling can significantly enhance the effectiveness of the design and development phase. For the 3D computational tissue model, a rectangular volume (20×10×9 mm 3) enclosing the tumor was created and meshed with quadrilateral elements (voxels) of size equal to the MRI resolution (××1 mm 3) using the meshing software (GAMBIT, Fluent, Lebanon, NH) with one-to-one mapping between the computational fluid dynamics mesh and. Previous studies have indicated that intra-aneurysmal regions with elevated thrombus formation potential are characterized by low flow velocities and wall shear stresses as well as by increased flow residence time. 21,22 In this study an image-based computational fluid dynamics (CFD) modeling methodology was used to model postoperative flow. Hydroplaning Computational Domain Definition. When hydroplaning occurs, both water and air flow from the tire-pavement contact area. First, a fluid model which contains both water film and air flow is established, and then the geometric outer contour of the tire after rolling deformation is created, and the rolling tire model is removed during the fluid calculation.

2. Materials and Methods. Star-CCM+ program (version ) from CD-Adapco was used for three-dimensional flow simulation. CAD data set from the bioreactor model was imported and converted, and a polyhedral prism mesh with ° million cells and ° million faces was created by the program-innate surface wrapper.


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computational model for gas-particle flows with distributed phase interfaces. by Chak M. Tsui Download PDF EPUB FB2

Axial solid velocity, solid volume fraction, and solid shear viscosity were computed in the riser of a circulating fluidized‐bed reactor using a two‐phase 2‐D computational fluid dynamic model.

The time‐averaged model predictions agree well with the experimental data of Miller and Gidaspow ().Cited by:   A computational procedure is presented to predict particle-laden turbulent gas flows in an ultrasonic flowmeter using curvilinear coordinates.

The Eulerian-Lagrangian hybrid model is used for the two-phase flow by: 5. 3. Computational approach. At first, an attempt was made to model the GCC flow field using a commercial CFD code. The standardization of the grid-generating procedure, generally adopted in any commercial code, imposed several restrictions associated with the complex geometry of the flow field to be by: Modeling gas‐particle two‐phase flows with complex and moving boundaries using DEM‐CFD with an immersed boundary method Gas-Particle and Granular Flow Systems, /B Toshitsugu Tanaka, Fictitious particle method: A numerical computational model for gas-particle flows with distributed phase interfaces.

book for flows including dense solids with large size difference, AIChE Cited by: The flow model is based on a Eulerian description of the phases where the kinetic theory for granular flow forms the basis for the turbulence modeling in the solid phases.

The model is generalized for one gas phase and N number of solids phases to enable a realistic description of the particle‐size distribution in gas/solid flow systems.

obtained using the Navier–Stokes flow model (left) and the k w SST turbulence model (right) for the flows with inlet velocity of m/s (a, b) and m/s (c, d). 4 Modelling of the Particle-Phase Flow The motion of particles is governed by the gas-particle interaction.

Herein, the computational model generates very detailed information of the dynamic and discrete behavior of the gas––flow such as wake shedding and particle entrainment and can thus in principle be used to study and quantify the effect of all important physical properties and other aspects such as bubble size and shape related to bubble deformation, coalescence, and break-up.

In the Lagrangian model of two-phase flow, the Newtonian equations of motion for each individual particle are solved with inclusion of the effects of particle collisions and forces acting on the particles by the gas.

Particle–particle collisions are modeled by the hard sphere (Gera et al., ) or soft sphere approach (Kobayashi et al., ). A CFD model to simulate two-phase flow in refrigerant ejectors is described. This work is part of an effort to develop the ejector expansion refrigeration cycle, a device which increases performance of a standard vapor compression cycle by replacing the throttling valve with a work-producing ejector.

Modeling and numerical approximation of two-phase incompressible flows with different densities and viscosities are considered. A physically consistent phase-field model that admits an energy law is proposed, and several energy stable, efficient, and accurate time discretization schemes for the coupled nonlinear phase-field model are constructed and analyzed.

Chapter 3 - Solution Methods for Multi-Phase Flows, Pages Chapter 4 - Gas–Particle Flows, Pages Chapter 5 - Liquid–Particle Flows, Pages Chapter 6 - Gas–Liquid Flows, Pages Chapter 7 - Free Surface Flows, Pages Chapter 8 - Freezing/Solidification, Pages Chapter 9 - Three-Phase Flows, Pages.

On the basis of a model of the collisions of solid particles, the specific features of gas-particle flows in vertical pipes are numerically simulated.

The model treats the dispersed phase as a continuum (Eulerian description) consisting of N particle fractions moving with different linear and angular velocities, which result in the particle collisions. A theory is presented for the fully‐developed flow of gas and particles in a vertical pipe.

The relation between gas pressure gradient and the flow rates of the two phases is predicted, over the whole range of cocurrent and countercurrent flows, together with velocity profiles for both phases and the radial concentration profile for the particles. In this paper, the discontinuous Galerkin (DG) method is applied to solve the governing equations of the dispersed two-phase flow with the two-fluid Euler/Euler approach.

The resulting governing equations are simple in form and the solution process is very natural. The characteristics of the gas-particle two-phase flow in an engine nozzle are mainly analyzed, and the impacts of the particle.

The dilute phase in the EMMS model is treated as a fluid phase and its properties, such as density, are also provided by the EMMS model. In this method, the flow structures of the gas–solid system in an industrial reactor have been simulated.

The. the granular temperature in gas-particle flows is often small compared to the mean particle kinetic energy, implying that the particle-phase Mach number can be very large.

In analogy to rarefied gas flows, it is thus not surprising that two-fluid models fail for gas-particle flows with moderate Knudsen and/or Mach numbers. Gas–particle two-phase turbulent flows at various loadings in horizontal and inclined ducts are studied.

The upgraded thermodynamically consistent two-phase flow model which includes a low. A detailed three-dimensional computational fluid dynamics (CFD) analysis on gas-particle flow and heat transfer inside a solid-particle solar receiver, which utilizes free-falling particles for direct absorption of concentrated solar radiation, is presented.

Computational Gas-Solids Flows and Reacting Systems: Theory, Methods and Practice addresses the need for a comprehensive book on computational gas-solids flow to aid researchers, graduate students, and practicing engineers in this rapidly expanding area.

This unique book provides a full exploration of the theory, numerical methods, and. An improved stochastic separated flow (ISSF) model developed by the present authors is tested in gas-particle flows behind a backward-facing step, in this paper.

The gas phase of air and the particle phase of μm glass and 70 μm copper spheres are numerically simulated using the k–ɛ model and the ISSF model, respectively.

The predicted mean streamwise velocities as well as streamwise. phase) distributed in a connected volume of the continuous phase.

On the other hand separated flows consist of two or more continuous streams of different fluids separated by interfaces. Multiphase flow models A persistent theme throughout the study of multiphase flows is the need to. Recently, Zhang and Ahmadi () developed a computational model for simulations of gas- liquid-solid flows, where the bubbles and particles were treated as the dispersed discrete phases and their motions were simulated by the Lagrangian trajectory analysis procedure.

• Flow regime, e.g. bubbly flow, slug flow, annular flow, etc. • Only model one flow regime at a time. • Predicting the transition from one regime to another possible only if the flow regimes can be predicted by the same model.

This is not always the case. • Laminar or turbulent. • Dilute or dense. An immersed boundary method (IBM) has been developed and incorporated into the coupled discrete element method and computational fluid dynamics (DEM‐CFD) approach to model particulate systems consisting of a compressible gas and solid particles with complex and/or moving boundaries.

Gas-particle two phase flow method A particle trajectory model of gas-particle two phase flow is implemented to simulate the interaction and evolution of ta particles and gas flow. The ejec particle volume is neglected in calculation.

In spherical coordinate system, Lagrangian equations governing the heat free inviscid gas flow is as.

Gas/Liquid Two-Phase Flows 16 New Model of Turbuleent-Dispersion-Induced Force 19 Interfacial Forces in Horizontal Gas/Liquid Two-Phase Flows 23 4.

Two-Phase Flow Turbulence 26 k-0 Model of Turbulence for Single-Phase Flows 26 k-D Model of Turbulence for Two-Phase Flows 26 5. Multiphase Flow Modeling in the NPHASE Code 29 8 August | The Journal of Computational Multiphase Flows, Vol.

10, No. 1 Analysis of choked two-phase flows of gas and particle in a C-D nozzle Theoretical and Applied Mechanics Letters, Vol. 7, No. Laminar flow of ethylene glycol-based silicon nitride (EG-Si3N4) nanofluid in a smooth horizontal pipe subjected to forced heat convection with constant wall heat flux is computationally modeled and analyzed.

Heat transfer is evaluated in terms of Nusselt number (Nu) and heat transfer coefficient for various volume fractions of Si3N4 nanoparticles in the base fluid and different laminar flow.

() Immiscible two-phase Darcy flow model accounting for vanishing and discontinuous capillary pressures: application to the flow in fractured porous media. Computational GeosciencesGas particle flows computational fluid dynamics Eulerian particulate model turbulence model coal classification The commitment of the Electricity Commission of New South Wales (Pacific Power) to the exploitation of Computational Engineering for the improvement of.

Gas-solid two-phase flow in a 90˚ bend has been studied numerically. The bend geometry is squared cross section of ( m × m) and has a turning radius of times the duct’s hydraulic. A Monte Carlo-type computational model based on a Lagrangian discrete phase model is developed to simulate the particle trajectories in a spiral microchannel for inertial microfluidics.

The continuous phase (flow field) is solved without the presence of a discrete phase (particles) using COMSOL Multi-physics.

•working as a sub-model within existing computational fluid dynamics solvers •modelling particle size distribution with using only reasonable amount of ex-tra computation •working with dense gas-particle flows The chosen method will be implemented to work with commercial CFD solver AN-SYS FLUENT [1].

Book Chapters. Bures, A. Moure, H. Gomez, Computational treatment of interface dynamics via phase-field modeling, Numerical Simulation in Physics and Engineering: Trends and Applications, Springer, H.

Gomez, J. Bueno, Interaction of multiphase fluids and solid structures, Frontiers in Computational Fluid-Structure Interaction and Flow Simulation.

A 2-D gas-particle two-phase flow model has been developed to study the flow characteristics in a single channel of a honeycomb ceramic diesel particulate filter. A particle source in cell (PSIC) algorithm is used to calculate the gas-particle two-phase flow.

Firstly, the gas-phase flow field alone. A new boundary condition treatment has been devised for two-phase flow numerical simulations in a self-aerated minerals flotation machine and applied to a Wemco m3 pilot cell.

Airflow rate is not specified a priori but is predicted by the simulations as well as power consumption.

Time-dependent simulations of two-phase flow in flotation machines are essential to understanding flow behavior. Experiments and numerical simulations of horizontal two-phase flow regimes using an interfacial area density model Journal of Computational Multiphase Flows slugging phenomena in horizontal channels and showed a mechanistic approach to the prediction of hydrodynamic slug initiation, growth and subsequent development into continuous slug flow in.

The multiphase flows inside the two abrasive waterjet (AWJ) nozzles with different abrasive inlet tube angles are simulated using the standard k-ε turbulence model based on the Euler-Lagrangian approach.

The volume of fluid (VOF) method is employed to simulate the water-air multiphase flows. And, the abrasive particles are treated as dilute dispersed phase and tracked with the discrete. Atomizers are used in many engineering applications including spray combustion in furnaces, diesel engines, gasoline direct injection (GDI) engines and gas turbine engines.

They are also commonly u. 2 Computational methodC Gas phase and particle phase modelsC Particle-wall collision model and wall roughness model.C 3 Results and discussionC 4 SummaryC ReferencesC 1 Introduction Gas-particle ows are commonly found in a wide variety of engineering ap-plications.

Typical examples include the. Nevertheless, for two-phase flows, the method cannot be directly applied near the fluid interface because of the abrupt discontinuity of fluid density resulting in large change in pressure gradient.In this study, the center of the interface was set to r = R pf, where r is the distance from the center of parameter M was set as +M pf for r phase-field distribution would maintain its position on the surface.

Determination of Contact. When the two particles come close to one another.II. Model Description. The macroscopic part of the discussed model consists of two main elements: the tissue and the vascular network.

The tissue is represented by a set of Macroscopic Functional Units (MFU) that are distributed inside the specified shape [].The vascular network is composed of vessels that provide a blood supply for the tissue.