September, 18-27, 2006, Leiden, The Nederlands Influence of Gravity and Lift on Particle Velocity Statistics and Deposition Rates in Turbulent Upward/Downward.

Slides:



Advertisements
Similar presentations
Using DEM-CFD method to model colloids aggregation and deposition
Advertisements

LARGE-EDDY SIMULATION and LAGRANGIAN TRACKING of a DIFFUSER PRECEDED BY A TURBULENT PIPE Sep 07, 2006 Fabio Sbrizzai a, Roberto Verzicco b and Alfredo.
Master’s Dissertation Defense Carlos M. Teixeira Supervisors: Prof. José Carlos Lopes Eng. Matthieu Rolland Direct Numerical Simulation of Fixed-Bed Reactors:
Fluid flow and species transport around a scaffold Centro Interdipartimentale di Fluidodinamica e Idraulica & Department of Energy & Technology, University.
Aero-Hydrodynamic Characteristics
3. The Motion of Particles Drag force d particle diameter V flow velocity Spherical particle, Re < 1 Drag coefficient A projected area.
Free Convection: Overview
Gaseous And Particulate Dispersion In Street Canyons
Boundary Layer Flow Describes the transport phenomena near the surface for the case of fluid flowing past a solid object.
Lecture Objectives -Finish with modeling of PM -Discuss -Advance discretization -Specific class of problems -Discuss the CFD software.
The Art of Comparing Force Strengths… P M V Subbarao Professor Mechanical Engineering Department I I T Delhi Diagnosis of NS Equations.
September, Numerical simulation of particle-laden channel flow Hans Kuerten Department of Mechanical Engineering Technische Universiteit.
Measuring segregation of inertial particles in turbulent flows by a Full Lagrangian approach E. Meneguz Ph.D. project: Rain in a box of turbulence Supervisor:
PFI, Trondheim, October 24-26, Department of Energy and Process Engineering, NTNU 2 Centro Interdipartimentale di Fluidodinamica e Idraulica, University.
Orientation and distribution of highly elongated and inertial fibres in turbulent flow: a comparison of experimental and numerical data Stella Dearing,
1 MECH 221 FLUID MECHANICS (Fall 06/07) Tutorial 7.
Adnan Khan Department of Mathematics Lahore University of Management Sciences.
Gravity Current Flow past a Circular Cylinder: Forces, Wall Shear Stresses and Implications for Scour E. Gonzalez-Juez and E. Meiburg (UCSB) T. Tokyay.
Workshop on Turbulence in Clouds Particle transport in turbulence and the role of inertia Michael Reeks School of Mechanical & Systems Engineering University.
A Lagrangian approach to droplet condensation in turbulent clouds Rutger IJzermans, Michael W. Reeks School of Mechanical & Systems Engineering Newcastle.
James Sprittles ECS 2007 Viscous Flow Over a Chemically Patterned Surface J.E. Sprittles Y.D. Shikhmurzaev.
CHE/ME 109 Heat Transfer in Electronics
Computational Investigations of Gravity and Turbidity Currents Eckart Meiburg UC Santa Barbara Motivation Governing equations / computational approach.
Introduction to Convection: Flow and Thermal Considerations
DETAILED TURBULENCE CALCULATIONS FOR OPEN CHANNEL FLOW
L. Del Fabbro, M. Campolo, A. Soldati 26 June, Milano, Italy Numerical evaluation of spray painting efficiency in industrial applications: the spray painting.
Fluid Dynamics: Boundary Layers
Instructor: André Bakker
Introduction to Convection: Flow and Thermal Considerations
Tesi di Laurea Break-up of inertial aggregates in turbulent channel flow Frammentazione di aggregati inerziali in flusso turbolento Relatore: Dott. Ing.
Pharos University ME 259 Fluid Mechanics Lecture # 9 Dimensional Analysis and Similitude.
BREAK-UP OF AGGREGATES IN TURBULENT CHANNEL FLOW 1 Università degli Studi di Udine Centro Interdipartimentale di Fluidodinamica e Idraulica 2 Università.
Characteristics of Fibre Suspensions in a Turbulent Pipe Flow Stella Dearing*, Cristian Marchioli, Alfredo Soldati Dipartimento di Energetica e Macchine,
Mechanistic Modeling and CFD Simulations of Oil-Water Dispersions in Separation Components Mechanistic Modeling and CFD Simulations of Oil-Water Dispersions.
Simulation of Droplet Drawback in Inkjet Printing
Lorentz Centre, 19 Sep Particle transport and flow modification in planar temporally evolving mixing layers Djamel Lakehal, Chidambaram Narayanan.
Modelling of the particle suspension in turbulent pipe flow
Characteristics of Inertial Fibre Suspensions in a Turbulent Pipe Flow Stella Dearing*, Cristian Marchioli, Alfredo Soldati Dipartimento di Energetica.
Particle Aerodynamics S+P Chap 9. Need to consider two types of motion Brownian diffusion – thermal motion of particle, similar to gas motions. –Direction.
Direct Numerical Simulation of Particle Settling in Model Estuaries R. Henniger (1), L. Kleiser (1), E. Meiburg (2) (1) Institute of Fluid Dynamics, ETH.
AMS 599 Special Topics in Applied Mathematics Lecture 8 James Glimm Department of Applied Mathematics and Statistics, Stony Brook University Brookhaven.
Experimental investigations on secondary structures in a fully developed turbulent jet and extension to fibre-laden case Alessandro Capone, Alfredo Soldati.
Mass Transfer Coefficient
Settling of Small Particles in Homogeneous Turbulence: Settling Velocity Enhancement by Two-Way Coupling T. Bosse, L. Kleiser (ETHZ), E. Meiburg (UCSB)
Chapter 6 Introduction to Forced Convection:
J.-Ph. Braeunig CEA DAM Ile-de-FrancePage 1 Jean-Philippe Braeunig CEA DAM Île-de-France, Bruyères-le-Châtel, LRC CEA-ENS Cachan
Lecture Objectives Unsteady State Simulation Example Modeling of PM.
Session 3, Unit 5 Dispersion Modeling. The Box Model Description and assumption Box model For line source with line strength of Q L Example.
Turbulence effects on particle dispersion in a free-surface flow
Simulations of inertial point-particles at NTNU
Title: SHAPE OPTIMIZATION OF AXISYMMETRIC CAVITATOR IN PARTIALY CAVITATING FLOW Department of Mechanical Engineering Ferdowsi University of Mashhad Presented.
The structure of turbulence in a shallow water wind-driven shear current with Langmuir circulation Andrés E. Tejada-Martínez and Chester E. Grosch Center.
I m going to talk about my work in last 2 years
Bubble Bouncing on Solid/Free Surfaces M.R. Brady, D.P. Telionis – Engineering Science and Mechanics P.P. Vlachos – Mechanical Engineering R.-H. Yoon,
15. Physics of Sediment Transport William Wilcock (based in part on lectures by Jeff Parsons) OCEAN/ESS 410.
Chapter 8. FILTRATION PART II. Filtration variables, filtration mechanisms.
Ischia, June 2007 ANALYSIS OF MULTIPHASE REACTING TURBULENT JETS: CASE STUDY ON CARBON INJECTION IN SIDERURGIC FURNACES 1 Centro Interdipartimentale.
FLOW THROUGH GRANULAR BEDS AND PACKED COLUMN
INTRODUCTION TO CONVECTION
Lavezzo V., Soldati A. Università degli studi di Udine Centro Interdipartimentale di Fluidodinamica e Idraulica and Dipartimento di Energetica e Macchine.
Direct Numercal Simulation of two-phase turbulent boundary layer over waved water surface O. A. Druzhinin, Yu.I. Тroitskaya Institute of Applied Physics.
Convergence Studies of Turbulent Channel Flows Using a Stabilized Finite Element Method Andrés E. Tejada-Martínez Department of Civil & Environmental Engineering.
Formation of Near-Wall Particle-Streaks in Particle-Laden Wall-Bounded Turbulent Flows Luís M. Portela and Valérie Ferrand Kramers Laboratory Delft University.
turbulent open channel flow
Inertial Particle Segregation and Deposition in Large-Eddy Simulation
Particles turbulence interactions in boundary layers
Lecture Objectives Learn about particle dynamics modeling
Particle (s) motion.
Lecture Objectives Ventilation Effectiveness, Thermal Comfort, and other CFD results representation Surface Radiation Models Particle modeling.
Lecture 16 Multiphase flows Part 1.
Presentation transcript:

September, 18-27, 2006, Leiden, The Nederlands Influence of Gravity and Lift on Particle Velocity Statistics and Deposition Rates in Turbulent Upward/Downward Channel Flow § § Dipartimento di Energetica e Macchine, Università di Udine *Centro Interdipartimentale di Fluidodinamica e Idraulica & Department of Fluid Mechanics, International Center for Mechanical Sciences, Udine C. Marchioli §, M. Picciotto § and Alfredo Soldati * Workshop on Environmental Dispersion Processes Lorentz Center – University of Leiden

Motivation Why the need for a DNS database? Lack of complete and homogeneous source of data on particle velocity statistics and on particle deposition rates (->)-> Validation and testing of theoretical deposition models Over than 1 Tbyte DNS fluid- dynamics raw data for different benchmark and test cases available on line at: Free CFD database, kindly hosted by Cineca supercomputing center (Bologna, Italy).

CFD database What’s on? 1. CFD raw data repository (12 DB, 1.5 Tb) DNS test case: particle-laden turbulent channel flow at low Reynolds number 2. CFD Preprocessed data repository (2 DB) DNS database: influence of gravity and lift on particle velocity statistics and deposition rates

Numerical Methodology (1) Flow Field Calculation Time-dependent 3D turbulent gas flow field with pseudo-spectral DNS 128x128x129 Fourier-Fourier modes (1D FFT) + Chebyschev coefficients Shear Reynolds number: Re  =u  h/=150 Bulk Reynolds number: Re b =u b h/=2100

Numerical Methodology (2) Lagrangian Particle Tracking Equation of motion for the (heavy) particles * Stokes Number: St=  p /  f Flow Time Scale:  f =/u   *

Numerical Methodology (3) Lagrangian Particle Tracking Non-Dimensional Kolmogorov Time Scale,   +, vs Wall-Normal Coordinate, z + Kolmogorov scales: length scale 1.6 <  k + < 3.6 (  k,avg + =2) time scale 2.5 <  k + < 13 ( k,avg + =4) d p + / k + ~ O(1) [In principle, it should be << 1!]St/ k + ~ O(10)

Numerical Methodology (4) Lagrangian Particle Tracking Further Relevant Simulation Details: Point-particle approach: local flow distortion is assumed negligible (Stokes flow around the particle) One-way coupling: dilute flow condition is assumed (NB: the averaged mass fraction for the largest particles is O(0.1), however two-way coupling effects do not affect significantly particle statistics for the current simulation parameters). Particle-wall collisions: fully elastic (particle position and velocity at impact and time of impact are recorded for post-processing!) Fluid velocity interpolation: 6th-order Lagrangian polynomials Total tracking time: ΔT + = 1192 in wall time units i.e. ~ 9.5 times the non- dimensional response time of the largest particles (St=125). Time span during which statistics have been collected: Δt + = 450 (from t + =742 to t + =1192) i.e. 3.6 times the response time of the largest particles (St=125) Statistically-developing condition for particle concentration

Part I. Influence of the Gravity Force Flow Configurations No Gravity (G 0 ) Downflow (G d ) Upflow (G u )

Part I. Influence of the Gravity Force Particle Mean Streamwise Velocity Downflow Upflow No Gravity

Part I. Influence of the Gravity Force Particle Wall-Normal Velocity Downflow Upflow No Gravity

Part I. Influence of the Gravity Force Streamwise RMS of Particle Velocity Downflow Upflow No Gravity

Part I. Influence of the Gravity Force Wall-Normal RMS of Particle Velocity

Part I. Influence of the Gravity Force Wall-Normal Particle Number Density Distribution (“small” St)

Part I. Influence of the Gravity Force Wall-Normal Particle Number Density Distribution (“large” St)

Part I. Influence of the Gravity Force Integral Particle Number Density in the Viscous Sublayer (z + <5)

Following Cousins & Hewitt (1968) Non-Dimensional Deposition Coeff. Part I. Influence of the Gravity Force Particle Deposition Rates: Definition of the Deposition Coefficient Mean bulk particle concentration Mass flux of particles at deposition surface

Ref: Young and Leeming, J. Fluid Mech., 340, (1997); Marchioli et al., Int. J. Multiphase Flow, in Press (2006). Part I. Influence of the Gravity Force Particle Deposition Rates

Part II. Influence of the Lift Force Methodology: Lift Force Model Dimensionless Parameter Lift Coefficient References Mc Laughlin, J. Fluid Mech., 224, (1991); Kurose and Komori, J. Fluid Mech., 384, (1999).

Part II. Influence of the Lift Force Particle Mean Streamwise Velocity (“small” St) DownflowNo GravityUpflow

Part II. Influence of the Lift Force Particle Mean Streamwise Velocity (“large” St) DownflowNo GravityUpflow With lift!

Part II. Influence of the Lift Force Particle Wall-Normal Velocity (“small” St) DownflowNo GravityUpflow

Part II. Influence of the Lift Force Particle Wall-Normal Velocity (“large” St) DownflowNo GravityUpflow With lift!

Part II. Influence of the Lift Force Wall-Normal Particle Number Density Distribution (“small” St) DownflowNo GravityUpflow

Part II. Influence of the Lift Force Wall-Normal Particle Number Density Distribution (“large” St) DownflowNo GravityUpflow With lift!

Part II. Influence of the Lift Force Coupling between near-wall transfer mechanisms and lift force

Part II. Influence of the Lift Force Particle Deposition Rates No Gravity St Downflow St Upflow St

Conclusions and Future Developments We have quantified the effects of gravity and lift on particle velocity statistics and deposition rates in channel flow. Gravity modifies particle statistics via the crossing-trajectory effect, which decreases velocity correlations along the particle trajectories as the particle Stokes number increases (St = 25 being the threshold value to discriminate between “small” and “large” particles). Lift affects weakly the particles with St>25, whereas particles with St < 25 will either increase or decrease their deposition rate depending on the orientation of gravity with respect to the mean flow. Gravity and lift seem to modify the particle statistics mostly quantitatively: particle distribution is primarily a result of the dynamic interaction between particles and near-wall turbulence. Improve the lift force model Include collisions