2 edition of **effects of fluid continuity on the turbulent dispersion of particles** found in the catalog.

effects of fluid continuity on the turbulent dispersion of particles

James R. Ferguson

- 378 Want to read
- 14 Currently reading

Published
**1986**
.

Written in English

- Dispersion.,
- Fluid dynamics.,
- Particle size determination.

**Edition Notes**

Statement | by James R. Ferguson. |

The Physical Object | |
---|---|

Pagination | viii, 125 leaves, bound : |

Number of Pages | 125 |

ID Numbers | |

Open Library | OL16604154M |

fluids, e.g., dense particles or droplets in air. These parti- fluid elements in ABC tlow is known to be chaotic in the cles follow different trajectories than fluid elements because neighborhood of the heteroclinic lines connecting the un- of the additional effects of inertia and external @article{osti_, title = {Notes on the Langevin model for turbulent diffusion of ``marked`` particles}, author = {Rodean, H C}, abstractNote = {Three models for scalar diffusion in turbulent flow (eddy diffusivity, random displacement, and on the Langevin equation) are briefly described. These models random velocity increment based Fokker-Planck equation is introduced as are then

Tracer particle momentum effects in vortex flows - Volume - David M. Birch, Nicholas Martin Skip to main content We use cookies to distinguish you from other users and to provide you with a better experience on our :// and fine particles exits at the top. 3. Numerical model. Mathematical model of the coupled fluid flow in the hydrocyclones is based on the classical continuity, momentum and turbulent kinetic energy equations[4]. Lagrangian Tracking Implementation. Particle transport modeling is a

The objective of this study was to determine the mixing characteristics of two‐phase, confined, coaxial jets. Gas composition, gas velocity, and particle mass flux radial profiles were obtained at different axial stations using 20% by weight of 6 or 30 μm spherical aluminum particles in the primary 5R Environmental Fluid Mechanics Pollution dispersion in the environment 3 Table of Contents 1. Introduction 2. Atmospheric structure, chemistry and pollution 3. Statistical description of turbulent mixing and reaction 4. Air Quality Modelling and Plume Dispersion 5. Turbulent reacting flows and stochastic simulations ~em/

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A Lagrangian stochastic model for the motion of heavy particles has been developed by coupling a stochastic model for the motion of fluid elements to the Stokes equations of motion of a particle in a turbulent flow.

The effects of crossing trajectories and continuity are incorporated by generalising Csanady's () ideas developed for The mechanism of the response motion of a suspended particle to turbulent motion of its surrounding fluid is different according to size of turbulent eddies.

The particle is dragged by the viscous force of large eddies, and meanwhile driven randomly by small :// A Lagrangian stochastic model for the motion of heavy particles has been developed by coupling a stochastic model for the motion of fluid elements to the Stokes equations of motion of a particle in a turbulent flow.

The effects of crossing trajectories and continuity are incorporated by generalising Csanady's () ideas developed for stationary homogeneous turbulence; effects of turbulence Applying the time series analysis idea to the temporal and spatial fluid velocity correlations, a three-dimensional Lagrangian model for the motion of particles in turbulent flows has been An eddy-lifetime, stochastic Lagrangian model for particle dispersion in weakly laden turbulent flows is proposed, in which the interaction time-scale between particles and turbulent eddies is parametrized so as to include several physical :// Dispersion and deposition of the particles in turbulent incompressible gas flow inside a rough channel with different artificial roughness shapes were studied by applying the Eulerian–Lagrangian method.

From the simulation results, the important findings of this study can be summarized as: :// ELSEVIER Fluid Dynamics Research 16 () FLUID DYNAMICS RESEARCH The relative dispersion of particles in isotropic homogeneous turbulence A.M.

Reynolds Silsoe Research Institute, Wrest Park, Bedford, MK45 4HS, UK Received 24 March ; revised 25 May The effects of particle inertia and drift velocity on the relative dispersion of particles in turbulent flows have Reeks, M.

() On the dispersion of small particles suspended in an isotropic turbulent field, J. Fluid Mechanics, 83, DOI: /S; Reeks, M. () On a kinetic equation for the transport of particles in turbulent flows, Physics of Fluids A, 3, DOI: / Dispersion of ellipsoidal particles in a simulated isotropic pseudo-turbulent field is studied.

A procedure using Euler’s four parameters in describing the particle orientations is used, and the governing equations for the translational and rotational motions of particles are :// /Dispersion-of-Ellipsoidal-Particles-in-an. Mofakham, A. and Ahmadi, G., “ Accuracy of the CRW models for prediction of the deposition and dispersion of particles in inhomogeneous turbulent channel flows,” in ASME-JSME-KSME 8th Joint Fluids Engineering Conference AJKFluids - (American Society of Mechanical Engineers, ), p.

Abrahamson J. Collision rates of small particles in a vigorously turbulent fluid. Chemical Engineering Scie – (). Ayyalasomayajula S, Gylfason A The elastic-plastic transition zone itself is highly turbulent with a collection of eddies, interacting transverse waves, shear layers, and density interfaces.

Inside the turbulent transition zone, large pulsations and a strong departure from local equilibrium occur. When the pulsations grow, inertial effects begin to play a significant :// A two-dimensional direct numerical simulation is performed in a particle-laden turbulent flow to investigate effects of a parcel modeling on characteristics of particles' dispersion Simulations of spray and particle‐laden flows have commonly relied on random walk models to represent dispersion of liquid or solid particles by turbulent motions in the carrier fluid.

Particles respond, through a Lagrangian equation of motion, to the mean fluid velocity, computed simultaneously from an Eulerian solution, and to a random fluctuation :// The distribution of inertial particles in turbulent flows is highly nonuniform and is governed by the local dynamics of the turbulent structures of the underlying carrier flow field.

In wall-bounded flows, wall roughness strongly affects the turbulent flow field, nevertheless its effects on the particle transport in two-phase turbulent flows the paths of a large enough number of particles, the effects of the fluctuating flow field can be taken into account.

In essence, the EIM aims at reconstructing the instantaneous field from the local mean values of velocity and turbulent intensity. The EIM models the turbulent dispersion of particles as a succession of interactions between a Computational fluid dynamics simulations were then performed using an Eulerian-Granular multiphase model.

The effects of hindered and unhindered drag models and turbulent dispersion force on cloud height were investigated. A comparison of the experimental and computational data showed excellent agreement over the full range of conditions :// The effect of the particles on the fluid flow is negligible owing to their small concentration and thus a one‐way coupling approach is adopted, wherein the squame motion uses the fluid velocity to compute the forces, but the effect of squames on the fluid momentum is neglected.

34 In addition, since the volume fraction of the squames in an OR Turbulent, dispersed, two-phase flows occur in a wide range of manufacturing and processing ap-plications.

Often, the efficiency of the process depends directly on the degree of uniformity of dispersion of one phase into the other, e.g. the dispersion of particles without effects on the fluid (i.e., one-way coupling or equivalently particle-free flow) we set fi equal to zero.

The direct effect of the particles presence on the continuity equation of the fluid, Eq. (2), is assumed negligible since the volume fraction of the particles in our study is less than. Of the total deposition, % of the polydisperse particles are trapped at the tracheal wall for the turbulent case, whereas % of polydisperse particles are deposited at the both right and The effects of virtual mass and the Basset history term (Maxey & Riley ) are usually not included in deposition studies—both these terms are small when the ratio of particle material density and fluid density is large (ρ 0 p /ρ ≫ 1), a condition generally satisfied for the motion of solid particles or liquid droplets in a ://The paper is focused on the simulation and modeling of the dispersion from an instantaneous source of heat or mass located at the center of a turbulent flow channel.

The flow is modeled with a direct numerical simulation, and the dispersion is modeled with Lagrangian methods based on Lagrangian scalar tracking (LST). The LST technique allows the simulation of scalar sources that span a range