Analysis of hydrodynamic forces on non-spherical particles (Spherocylinder)

Similar documents
FOUR-WAY COUPLED SIMULATIONS OF TURBULENT

A New Correlation for Drag Coefficient of Extrudate Quadralobe Particles by CFD Simulation

Numerical Simulation of Elongated Fibres in Horizontal Channel Flow

Lagrangian Particle Tracking

Modelling of Gas-Solid Flows with Non-spherical Particles

Strategy in modelling irregular shaped particle behaviour in confined turbulent flows

Study of rotation of ellipsoidal particles in combined simple shear flow and magnetic fields

INTRODUCTION OBJECTIVES

Modelling of dispersed, multicomponent, multiphase flows in resource industries. Section 3: Examples of analyses conducted for Newtonian fluids

Modeling of dispersed phase by Lagrangian approach in Fluent

Computational model for particle deposition in turbulent gas flows for CFD codes

Intermezzo I. SETTLING VELOCITY OF SOLID PARTICLE IN A LIQUID

ME 431A/538A/538B Homework 22 October 2018 Advanced Fluid Mechanics

Dispersed Multiphase Flow Modeling using Lagrange Particle Tracking Methods Dr. Markus Braun Ansys Germany GmbH

Experience with DNS of particulate flow using a variant of the immersed boundary method

FINITE ELEMENT METHOD IN

Convection Workshop. Academic Resource Center

PARTICLE DISPERSION IN ENCLOSED SPACES USING A LAGRANGIAN MODEL

MSc. Thesis Project. Simulation of a Rotary Kiln. MSc. Cand.: Miguel A. Romero Advisor: Dr. Domenico Lahaye. Challenge the future

Shell Balances in Fluid Mechanics

Basic concepts in viscous flow

Study on residence time distribution of CSTR using CFD

Basic Concepts: Drag. Education Community

COMPUTATIONAL FLUID DYNAMIC ANALYSIS ON THE EFFECT OF PARTICLES DENSITY AND BODY DIAMETER IN A TANGENTIAL INLET CYCLONE HEAT EXCHANGER

A Fluctuating Immersed Boundary Method for Brownian Suspensions of Rigid Particles

arxiv: v1 [cond-mat.soft] 25 Jun 2007

M E 320 Professor John M. Cimbala Lecture 10. The Reynolds Transport Theorem (RTT) (Section 4-6)

Lecture-6 Motion of a Particle Through Fluid (One dimensional Flow)

BAE 820 Physical Principles of Environmental Systems

ABSTRACT I. INTRODUCTION

Detailed 3D modelling of mass transfer processes in two phase flows with dynamic interfaces

Simulation of Particulate Solids Processing Using Discrete Element Method Oleh Baran

Modelling multiphase flows in the Chemical and Process Industry

Drag Force Model for DEM-CFD Simulation of Binary or Polydisperse Bubbling Fluidized Beds

Figure 3: Problem 7. (a) 0.9 m (b) 1.8 m (c) 2.7 m (d) 3.6 m

fluid mechanics as a prominent discipline of application for numerical

CFD Analysis of Forced Convection Flow and Heat Transfer in Semi-Circular Cross-Sectioned Micro-Channel

Validation 3. Laminar Flow Around a Circular Cylinder

NUMERICAL SIMULATION OF SUDDEN-EXPANSION PARTICLE-LADEN FLOWS USING THE EULERIAN LAGRANGIAN APPROACH. Borj Cedria, 2050 Hammam-Lif, Tunis.

Lattice-Boltzmann vs. Navier-Stokes simulation of particulate flows

MODELLING OF MULTIPHASE FLOWS

A numerical study of heat transfer and fluid flow over an in-line tube bank


MAE 101A. Homework 7 - Solutions 3/12/2018

A Momentum Exchange-based Immersed Boundary-Lattice. Boltzmann Method for Fluid Structure Interaction

FLUID MECHANICS. Atmosphere, Ocean. Aerodynamics. Energy conversion. Transport of heat/other. Numerous industrial processes

Reynolds number scaling of inertial particle statistics in turbulent channel flows

Getting started: CFD notation

Modeling of Humidification in Comsol Multiphysics 4.4

Self-Excited Vibration in Hydraulic Ball Check Valve

Paul-Gordan-Str. 3, D Erlangen, Germany b Faculty of Mechanical Engineering, University of Maribor, Smetanova 17, SI-2000, Maribor, Slovenia

INVESTIGATION ON THE DRAG COEFFICIENT OF SUPERCRITICAL WATER FLOW PAST SPHERE-PARTICLE AT LOW REYNOLDS NUMBERS

Fluid Dynamics Exercises and questions for the course

The Use of Lattice Boltzmann Numerical Scheme for Contaminant Removal from a Heated Cavity in Horizontal Channel

Fluid Dynamics: Theory, Computation, and Numerical Simulation Second Edition

Basic Fluid Mechanics

A fundamental study of the flow past a circular cylinder using Abaqus/CFD

Masters in Mechanical Engineering. Problems of incompressible viscous flow. 2µ dx y(y h)+ U h y 0 < y < h,

NUMERICAL STUDY OF TURBULENT CHANNEL FLOW LADEN WITH FINITE-SIZE NON-SPHERICAL PARTICLES

Simulation of Cross Flow Induced Vibration

Department of Mechanical Engineering

V (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)

NUMERICAL MODELING OF THE GAS-PARTICLE FLUID FLOW AND HEAT TRANSFER IN THE SLIP REGIME

Topics in Fluid Dynamics: Classical physics and recent mathematics

FLUID MECHANICS. Chapter 9 Flow over Immersed Bodies

Mestrado Integrado em Engenharia Mecânica Aerodynamics 1 st Semester 2012/13

Development of a consistent and conservative Eulerian - Eulerian algorithm for multiphase flows

Developing improved Lagrangian point particle models of gas-solid flow from particle-resolved direct numerical simulation

Spontaneous Symmetry Breaking of Hinged Flapping Filament Generates Lift

CFD ANALYSIS OF CD NOZZLE AND EFFECT OF NOZZLE PRESSURE RATIO ON PRESSURE AND VELOCITY FOR SUDDENLY EXPANDED FLOWS. Kuala Lumpur, Malaysia

Pairwise Interaction Extended Point-Particle (PIEP) Model for droplet-laden flows: Towards application to the mid-field of a spray

OpenFOAM selected solver

DIRECT NUMERICAL SIMULATION OF LIQUID- SOLID FLOW

Flow past a slippery cylinder

Process Chemistry Toolbox - Mixing

Day 24: Flow around objects

Lift-off of a single particle in Newtonian and viscoelastic fluids by direct numerical simulation

Contribution of inter-particle collisions on kinetic energy modification in a turbulent channel flow

Differential relations for fluid flow

External Forced Convection. Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

Due Tuesday, November 23 nd, 12:00 midnight

Velocity Fluctuations in a Particle-Laden Turbulent Flow over a Backward-Facing Step

White Rose Research Online URL for this paper: Version: Accepted Version

Masters in Mechanical Engineering Aerodynamics 1 st Semester 2015/16

PREDICTION OF ICE CRYSTAL ACCRETION WITH IN-HOUSE TOOL TAICE

CFD Simulation on Supercritical Fluid Extraction of Black Pepper's Bioactive Compounds: Single Particle Study

6.2 Governing Equations for Natural Convection

Drag Coefficient and Nusselt Number for Laminar Pulsating Flow in Porous Media

An Overview of Impellers, Velocity Profile and Reactor Design

A Study on Effects of Blade Pitch on the Hydrodynamic Performances of a Propeller by Using CFD

2.5 Stokes flow past a sphere

LIQUID/SOLID SEPARATIONS Filtration, Sedimentation, Centrifuges Ron Zevenhoven ÅA Thermal and Flow Engineering

CFD modelling of multiphase flows

Modified DLM method for finite-volume simulation of particle flow

Minimum fluidization velocity, bubble behaviour and pressure drop in fluidized beds with a range of particle sizes

Module 9: Packed beds Lecture 29: Drag, particles settling. Flow through a packed bed of solids. Drag. Criteria of settling.

Turbulence modulation by fully resolved particles using Immersed Boundary Methods

A Comparative Analysis of Turbulent Pipe Flow Using k And k Models

OPTIMAL DESIGN OF CLUTCH PLATE BASED ON HEAT AND STRUCTURAL PARAMETERS USING CFD AND FEA

OE4625 Dredge Pumps and Slurry Transport. Vaclav Matousek October 13, 2004

Transcription:

Coimbra, 6-8 March 2013. International workshop Fibre Suspension Flow Modelling French program ANR PLAYER Analysis of hydrodynamic forces on non-spherical particles (Spherocylinder) Rafik OUCHENE (LEMTA, CNRS) Anne TANIERE (LEMTA, CNRS) Mohammed KHALIJ (LEMTA, CNRS) Boris ARCEN (LRGP, CNRS)

1. Introduction 2. Literature overview 3. Numerical simulation overview 4. Results 5. Conclusions 6. Future Plans 7. References 2

Applications Dispersion of Pollutants Coal Combustion Separation Process (cyclone) 3

Context and Objectives This work is a part of program research about non-spherical particle dispersion. We are interested in simulating a dispersed two-phase flow using Direct Numerical Simulation under point force approximation. Before, we want to examine the force acting on each particle in order to choose or develop a model that will later be introduced in the DNS. To verify the ability of the CFD code to give the accurate results of hydrodynamic forces acting on non-spherical particles 4

Literature overview 5

Variation of the drag coefficient as a function of the Reynolds number for a spherical particle (Pr Ahmadi, Clarkson University) Spherical particle (1):Stokes regime (2):Intermediate regime (3):Newton regime (4):Trans-critical regime ud Re p = ν p What s about non-spherical particles?

P D D A u F C 2 2 1 ρ = 2 2 4 2 1 p L L d u F C π ρ = 3 2 16 2 1 p P T d u T C π ρ = Drag coefficient Lift coefficient Torque coefficient F D : Drag force F L : Lift force T P : Torque force A p : Projected area u : Fluid velocity d p : Particle diameter ρ : Fluid density Eulerian-Lagrangian methods for Two-Phase Flows ( ) ( ) ( ) z y x y x z z y x z x z y y x z y z y x x LIFT DRAG p p T I I dt d I T I I dt d I T I I dt d I F F dt dv m = = = + = ω ω ω ω ω ω ω ω ω 7

Literature review (Drag coefficient) Before After Correlation for arbitrary shaped particles 1.Ganser [1993] 2.Haider and Levenspiel [1989] 3.Hartman [1994] 4.Chien [1994] ( 5.Swamme and Ojha [1991] Performance Correlation for specific shaped particles Brenner [1963] Bowen and Masliyah [1973] Tripathi et al [1994] Spheroid Militzer et al [1989] Huner and Hussey [1977] Cylinder Ui et al [1984] Michael [1966] Shail and Norton [1969] Disc Davis [1990] C H A B R A 1 9 9 9 Correlation for arbitrary shaped particles 1.Holzer and Sommerfeld[2008] 2.Tran-Cong et al. [2004] Correlation for specific shaped particles Zastawny et al.[2012] Loth [2008] Yow [1994] Vakil and Green[2011] Mando and Rosendahl [2010] The correlations must take into account: Particle shape. Particle orientation. Particle rotation. 8

Relevant parameters Particle Reynolds number is calculated using the diameter of the equivalent sphere (d eq ) Re p = ud ν eq Sphericity (φ ) is the ratio between the surface of sphere with the same volume as the particle and the surface area of the actual particle (S): 2 πd eq φ = S Aspect ratio (w) is the ratio between the length (a) of the particle and its width(b): w = a b 9

Formula commonly admitted: Arbitrary shaped particles: C D = 8 1 16 1 3 1 0.4( logφ ) 0. 2 1 + + + 0.42*10 3 φ Re φ φ Re 4 Re Recent correlations a b C D = + + c Re Re Holzer and Sommerfeld[2008] φ Specific shaped particles: Rosendahl et al.[2010] C D Where : C C = C D, θ = 0 D, θ = 90 D, θ = 90 + ( C C ) D, θ = 90 D, θ = 0 sin 3 are determined from experimental or correlations results θ C D Where : C C C D, θ = 0 D, θ = 90 L = C = Zastawny et al.[2012] a + ( C C ) sin D, θ = 90 D, θ = 90 a1 a3 = a2 a4 Re Re a5 a7 = a6 a8 Re Re b1 b3 sin a2 a 4 Re Re D, θ = 0 b b 7 5 + b6 Re ( θ ) cos( θ ) 0 θ b + b 8 9 Re b10 10

Numerical simulation overview 11

Governing equations and solutions parameters on ANSYS FLUENT u = 0 u + t 1 ρ ( u ) u = p + ν u Second-order solver for the three-dimensional Navier-Stokes equations. Laminar viscous model. Steady simulation. The SIMPLE algorithm (Semi Implicid Method for Pressure-Linked Equations) is used. 12

Characteristics and parameters of the simulation Particle: Spherocylinder particle 0 θ 90 Axis ratio (b/a)=5 Fixed and rigid particle Flow: Uniform flow 0.1 Rep 300 θ u 13

The domain and boundary conditions Moving no-slip wall boundary condition Pressure outlet FD FL Velocity-Inlet Case : Uniform flow 14

Results of numerical simulation ANSYS-FLUENT Uniform flow at Re p =10 and Re p =300 15

Drag coefficient Comparison with Correlations: Zastawny et al[2012]; Holzer and Sommerfeld[2008]; Rosendahl [2010]. DNS (immersed boundary method): Zastawny et al[2012]. 16

Comparison at Re p =10 Spherocylinder w=5/1 φ =0.69 Inflexion point A similar tendency is noted for our results and those given by Zastawny et al. (CD max / CD min 1.75), a deviation of 30% is observed. 17

Results of DNS of Zastawny et al.[2012] Ellipsoid 1 w=5/2 φ =0.88 Ellipsoid 2 w=5/4 φ =0.99 Under-prediction of the CD at low Reynolds number by DNS Zastawny compared to theorical results. Deviation 14% Comparison of the drag and lift coefficients obtained from Brenner (1963) with the results issued from DNS of Zastawny for two ellipsoids at Re<0.1 At low Reynolds DNS of Zastawny under-predict CD compared to the theorical results of Brenner. 18

Comparison at Re p =300 Spherocylinder w=5/1 φ =0.69 Inflexion point A similar trend is noted for our results and those given by Zastawny et al. (CD max / CD min 4.2). The difference is lower than 10%. 19

Lift coefficient Comparison with Correlations: Zastawny et al[2012]; Hoener[1963]. DNS (immersed boundary method): Zastawny et al[2012]. 20

Comparison at Re p =10 w=5/1 A similar tendency is noted for our results and those given by Zastawny et al. The deviation is the same to those of the drag coefficient 30%. Spherocylinder φ =0.69 Hoener correlation: C C L D = sin 2 θ cosθ 21

Comparison at Re p =300 Spherocylinder w=5/1 φ =0.69 A similar trend is noted for our results and those given by Zastawny et al. The difference is less than 2%. 22

Torque coefficient Comparison with Correlation: Zastawny et al[2012]. 23

Comparison at Re p =10 The torque in the Z direction given by Zastawny et al. is significantly lower than the one extracted from our simulations. Deviation 179% Spherocylinder w=5/1 φ =0.69 24

Comparison at Re p =300 The torque in the Z direction given by Zastawny et al. is significantly lower than the one extracted from our simulations. Deviation 174%. Spherocylinder w=5/1 φ =0.69 25

Flow visualization at Re p =10 ANSYS FLUENT θ=0 θ=30 No recirculation zone θ=60 θ=90 26

Flow visualization at Re p =300 ANSYS FLUENT recirculation zone θ=0 θ=30 recirculation zone Symmetry is not broken θ=60 θ=90 27

Comparison between ellipsoid and spherocylinder at Re p =300 The same aspect ratio does not give the same behavior of the flow. The symmetry of the streamlines is not broken. The critical Reynolds number is not the same for both particles even if it has the same aspect ratio. Spherocylinder Symmetry Ellipsoid Beginning of the dissymmetry w=5/1 w=5/1 28

Conclusion The present results show some significant differences at low Reynolds number for CD and CL with DNS of Zastawny. The present torque coefficients are not in good accordance with the results of Zastawny. Not enough results in order to conclude about the pertinence of the existing estimations of the hydrodynamic forces (spherocylinder and ellipsoid). The difficulty remains again in the choice of the correlation for spherocylinder particles in order to model the motion of non spherical particles. 29

Future plans We will determine which is the critical Reynolds number for a spherocylinder. Simulation with an other type of the particles. 30

References [1] Hölzer, A and Sommerfeld, M. 2008. New simple correlation formula for the drag coefficient of non-spherical particles. Powder Technol, 184, 361-365 [2] Zastawny, M., Mallouppas, G., Zhao, F., van Wachem, B. 2011. Derivation of drag and lift force and torque coefficients for non-spherical particles in flows. International Journal of Multiphase Flow. 39, 227-239 [3] Mando, M and Rosendahl, L. 2010. On the motion of non-spherical particles at high Reynolds number. Powder Technology, 202, 1 13 31

ANNEXE

Comparison between DNS of Zasatwny and the ANSYS FLUENT simulation Re p =10 Re p =300 Spherocylinder w=5/1 φ =0.69 Better accordance at Re=300 34

Comparison between existing correlations and the ANSYS FLUENT simulation Spherocylinder w=5/1 φ =0.69 There is an important difference between our results and those by Zastawny. We think that is due to under-prediction of the forces on theirs simulations and this allowed for the three coefficients CD, CL and CM. Other studies must be done, using other code CFD code for this type of the particle. 35

Comparison between existing correlations and the ANSYS FLUENT simulation Spherocylinder w=5/1 φ =0.69 Re p =10 Inflexion point Re p =300 We have the same tendency between our results and those of Zastawny at the both Reynolds number. But at Re=10 the results of Zastawny tend to under-precdict CD than us, as we seen for the ellipsoid at Re=0,1. 36

Comparison between existing correlations and the ANSYS FLUENT simulation Spherocylinder w=5/1 φ =0.69 Re p =10 Re p =300 We have the same tendency between our results and those of Zastawny at the both Reynolds number. But at Re p =10 the results of Zastawny tend to under-precdict CD than us, as we seen for the ellipsoid at Re p =0,1. 37