1 Turbulence Characteristics in a Rushton & Dorr-Oliver Stirring Vessel: A numerical investigation Vasileios N Vlachakis 06/16/2006.

Slides:



Advertisements
Similar presentations
Adding value through knowledge © NNC Limited September 2002International PHOENICS User Conference 1 A PHOENICS model of the hotbox region of an advanced.
Advertisements

Simulation of Turbulent Flows in Channel with Obstructions. Golovnya B. P. ISMEL, Cherkassy, Ukraine.
Instructor: André Bakker
Aero-Hydrodynamic Characteristics
Copyright © 2000, A.W. Etchells, R.K.Grenville & R.D. LaRoche All rights reserved. CHEG Special Topics in Mixing Lecture 7 Liquid-Liquid Mixing.
Problems 6.8 An incompressible viscous fluid is placed between two large parallel plates. The bottom plate is fixed and the top moves with the velocity.
University of Western Ontario
Mixing and Flocculation
Boundary Layer Flow Describes the transport phenomena near the surface for the case of fluid flowing past a solid object.
CBE 465 4/15/2017 Heuristics 19 Oct 12.
RANS predictions of a cavitating tip vortex 8th International Symposium on Cavitation Tuomas Sipilä*, Timo Siikonen** *VTT Technical Research Centre of.
Transport phenomena in chemical processes part III Michał Araszkiewicz PhD.
K. Nazridoust, G. Ahmadi, and D. H
Engineering H191 - Drafting / CAD The Ohio State University Gateway Engineering Education Coalition Lab 4P. 1Autumn Quarter Transport Phenomena Lab 4.
University of South Carolina FCR Laboratory Dept. of Chemical Engineering By W. K. Lee, S. Shimpalee, J. Glandt and J. W. Van Zee Fuel Cell Research Laboratory.
Single and multi-phase flows through rock fractures occur in various situations, such as transport of dissolved contaminants through geological strata,
Fluid Mechanics Wrap Up CEE 331 June 27, 2015 CEE 331 June 27, 2015 
Multi Scale Physics Amazing what we can simulate and measure Harry E.A. Van den Akker Dept. of Multi-Scale Physics Faculty of Applied Sciences Delft University.
DETAILED TURBULENCE CALCULATIONS FOR OPEN CHANNEL FLOW
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering Fluid Kinematics Fluid Mechanics July 15, 2015 Fluid Mechanics July 15, 2015 
Agitation Equipment - Table 4.16
CBE 465 4/19/2017 Heuristics 19 Oct 12.
CHEMICAL REACTION ENGINEERING LABORATORY Characterization of Flow Patterns in Stirred Tank Reactors (STR) Aravind R. Rammohan Chemical Reaction Engineering.
CFD Modeling of Turbulent Flows
The Dorr-Oliver Flotation cell
I.Z. Naqavi 1, E. Savory 1 & R.J. Martinuzzi 2 1 Advanced Fluid Mechanics Research Group Department of Mechanical and Materials Engineering The University.
1 Modeling Flow Fields in Stirred Tanks Reacting Flows - Lecture 7 Instructor: André Bakker © André Bakker (2006)
Wind Energy Program School of Aerospace Engineering Georgia Institute of Technology Computational Studies of Horizontal Axis Wind Turbines PRINCIPAL INVESTIGATOR:
Introduction to Fluid Mechanics
Page 1 SIMULATIONS OF HYDROGEN RELEASES FROM STORAGE TANKS: DISPERSION AND CONSEQUENCES OF IGNITION By Benjamin Angers 1, Ahmed Hourri 1 and Pierre Bénard.
Modeling Flow Fields in Stirred Tanks Reacting Flows – Homework 4
LIQUID MIXING.
Chapter 5: BIOREACTOR DESIGN & SCALE-UP
Governing equations: Navier-Stokes equations, Two-dimensional shallow-water equations, Saint-Venant equations, compressible water hammer flow equations.
School of Aerospace Engineering MITE Numerical Modeling of Compressor and Combustor Flows Suresh Menon, Lakshmi N. Sankar Won Wook Kim S. Pannala, S.
Cascade Flow Research Capability Following figures present experimental results dealing with the measurement of boundary layer development along the suction.
School of Aerospace Engineering MITE Computational Analysis of Stall and Separation Control in Axial & Centrifugal Compressors Alex Stein Saeid NiaziLakshmi.
Sedimentation.
Mass Transfer Coefficient
Chapter 6 Introduction to Forced Convection:
Order of Magnitude Scaling of Complex Engineering Problems Patricio F. Mendez Thomas W. Eagar May 14 th, 1999.
CFD Applications for Marine Foil Configurations Volker Bertram, Ould M
IESVic 1 QUANTITATIVE IMAGING OF MULTI-COMPONENT TURBULENT JETS Arash Ash Supervisors: Dr. Djilali Dr. Oshkai Institute for Integrated Energy Systems University.
Computational Fluid Dynamics Applied to the Analysis of 10-mm Hydrocyclone Solids Separation Performance S. A. Grady, M. M. Abdullah, and G. D. Wesson.
Ch 4 Fluids in Motion.
Numerical study of flow instability between two cylinders in 2D case V. V. Denisenko Institute for Aided Design RAS.
Convection in Flat Plate Boundary Layers P M V Subbarao Associate Professor Mechanical Engineering Department IIT Delhi A Universal Similarity Law ……
MECH 221 FLUID MECHANICS (Fall 06/07) Chapter 8: BOUNDARY LAYER FLOWS
A Numerical Solution to the Flow Near an Infinite Rotating Disk White, Section MAE 5130: Viscous Flows December 12, 2006 Adam Linsenbardt.
Lecture 12 - Large Eddy Simulation Applied Computational Fluid Dynamics Instructor: André Bakker © André Bakker ( ) © Fluent Inc. (2002)
Turbulence Models Validation in a Ventilated Room by a Wall Jet Guangyu Cao Laboratory of Heating, Ventilating and Air-Conditioning,
Lecture 6 The boundary-layer equations
Equipment Batch Mixing: When the material to be mixed is limited in volume to that which may be conveniently contained in a suitable mixer, batch mixing.
School of Aerospace Engineering MITE Numerical Simulation of Centrifugal Compressor Stall and Surge Saeid NiaziAlex SteinLakshmi N. Sankar School of Aerospace.
Chapter 1: Basic Concepts
FLUID FLOW FOR CHEMICAL ENGINEERING
The Standard, RNG, and Realizable k- Models. The major differences in the models are as follows: the method of calculating turbulent viscosity the turbulent.
Theory of Turbine Cascades P M V Subbarao Professor Mechanical Engineering Department Its Group Performance, What Matters.……
Agitation & Mixing of fluids
Shroff S.R. Rotary Institute of Chemical Technology
Ivan Fořt1, Bohuš Kysela2, Jiří Konfršt2
Introduction to Symmetry Analysis
Off-design Performance of A Rotor
Experimental Characterization of Gas-Liquid Column:
Vasileios Vlachakis 03/05/2006
Accurate Flow Prediction for Store Separation from Internal Bay M
Analysis & Control of Profile Losses
The Dorr-Oliver Flotation cell
Accurate Flow Prediction for Store Separation from Internal Bay M
SETTLING AND SEDIMENTATION.
Presentation transcript:

1 Turbulence Characteristics in a Rushton & Dorr-Oliver Stirring Vessel: A numerical investigation Vasileios N Vlachakis 06/16/2006

2 Outline of the Presentation Introduction/Motivation Background of the Flotation process Mechanically agitated vessels The Rushton Stirring Tank Computational Model Comparisons between them The Dorr-Oliver Stirring Tank Conclusions Future Work

3 I ntroduction/Motivation The objectives of the thesis are to: study the hydrodynamics of two stirring tanks The Rushton mixing tank The Dorr-Oliver estimate accurately the velocity distribution discuss which turbulent model is the most suitable for this type of flow (validation with the experiments) determine the effect of the clearance of the impeller on the turbulence characteristics Vorticity Turbulent kinetic energy Dissipation rate

4 Significance of the Dissipation rate Dissipation rate controls: Collisions between particles and bubbles in flotation cells bubble breakup coalescence of drops in liquid-liquid dispersions agglomeration in crystallizers

5 Background Flotation is carried out using Mechanically agitated cells Widely Used in Industries to separate mixtures Mining Chemical Environmental Pharmaceutical Biotechnological Principles of Froth-Flotation

6 The flotation process The flotation technique relies on the surface properties of the different particles Two types of particles: hydrophobic (needs to be separated and floated) hydrophilic Particles are fed from a slurry located in the bottom While the impeller rotates air is passing through the hollow shaft to generate bubbles Some particles attach to the surface of the air bubbles and some others fall on the bottom of the tank The floated particles are collected from the froth layer

7 The Rushton Stirring Tank Cylindrical Tank Diameter of the Tank Diameter of the Impeller Four equally spaced baffles with width Thickness of the baffles Blade height Blade width Liquid Height = Height of the Tank

8 Governing Equations Unsteady 3D Navier-Stokes equations Continuity Momentum Decomposition of the total velocity and pressure Time-averaged Navier-Stokes equations Averaging rules Continuity Momentum

9 Dimensionless Parameters Scaling Laws The Reynolds number: Laminar flow: Re<50 Transitional: 50<Re<5000 Turbulent: Re>10000 The Power number: Where a=5 and b=0.8 in the case of radial-disk impellers In our case where This Power number is hold for unbaffled tanks

10 Power number versus Re number

11 Dimensionless Parameters Scaling Laws Froude number: The Froude number is important for unbaffled tanks It is negligible for baffled tanks or unbaffled with Re<300 In unbaffled tanks for Re>300 Flow number: In the case of the radial-disk impellers In our case (Rushton turbine) : Fl=1.07

12 Computational Grid The computational grid consists of 480,000 cells View from the top 3Dimensional View Grid surrounding the impeller (The unsteady Navier - Stokes equations are solved ) Outside grid (The steady Navier - Stokes equations are solved) The grid surrounding the impeller is more dense from the outside Two frames of reference: The first is mounted on the Impeller and the second is stationary (MRF)

13 Simulation Test matrix Standard k-e1a2a3a4a5a RNG k-e1b2b3b4b5b Reynolds Stresses1c2c3c4c5c Standard k-e Standard k-e Three different configurations Three turbulent models Five Reynolds numbers

14 Normalized radial velocity contours The flow for the first two cases can be described as a radial jet with two recirculation regions in each side of the tank In the case of the low clearance, a low speed jet and only one large recirculation area is observed

15 Normalized dissipation rate contours In the first two cases the dissipation rate has high values around and next to the impeller’s blade while in the last is extended to the region below them too

16 Normalized TKE contours Slices that pass through the middle plane of the impeller The TKE is lower in the case of the low configuration

17 Normalized X-vorticity contours Re=35000 In the first two cases the tip vortices that form at the end of the moving blades can be observed while in the third case only one big vortex ring forms.

18 Y- Vorticity Trailing Vortices at y/Dtank=0.167 (exactly at the end of the blades) Trailing vortices at the 1 st blade Trailing vortices at the next blade Time-averaged experimental results

19 Vorticity superimposed with streamlines for Re=35000 Flow can be described as a radial jet with convecting tip vortices

20 Normalized Z-vorticity contours In the first two cases the presence of the trailing vortices that form behind the rotating blades can be seen. In all cases small vortices also form behind the baffles

21 Grid Study

22 Radial Plots for Re=35000 along the centerline of the impeller Normalized radial velocity Normalized velocity magnitude The velocity magnitudes consists only of the axial and radial components in order to be validated by the experimental results where the tangential component Is not available. The low speed jet in the case of the low configuration is confirmed but a strong axial component is present as it is shown in the second plot

23 Radial Plots for Re=35000 along the centerline of the impeller Normalized tangential velocityNormalized X-VorticityRe=35000 Experimental vorticity seems to be oscillating due to the periodicity and due to the fact that trailing vortices are present. Clearly none of the turbulent models can capture what is happening

24 Radial Plots for Re=35000 along the centerline of the impeller Normalized Dissipation rate Normalized Turbulent Kinetic Energy The apparent discrepancy in TKE is due to the periodicity that characterizes the flow, since with every passage of a blade strong radial jet is created. The RNG k-e model has a superior behavior among the studied turbulent models in predicting the Turbulent Dissipation Rate (TDR)

25 Normalized Maximum Dissipation rate For C/T=1/2 and C/T=1/15For C/T=1/3 As the Re number increases the maximum TDR decreases for the first two configurations (agreement with the experimental data) For case of the low clearance configuration the line of the maximum dissipation levels off.

26 Velocity Profiles r/T=0.19 r/T=0.256 r/T=0.315

27 Dissipation rate profiles r/T=0.19 r/T=0.256 r/T=0.315

28 Reynolds Stresses & Isosurfaces u’w’ normalized component of the RS C/T=1/3 Helicity Isosurfaces of vorticity Isosurfaces of helicity The higher the helicity the more the vorticity vector is closer to the velocity vector (swirl)

29 Conclusions The turbulent kinetic energy and dissipation have the highest values in the immediate neighborhood of the impeller Good agreement with the experimental data is succeed Most of the times the Standard k-e model predicts better the flow velocities and the turbulent quantities while in some others has poor performance and the RNG k-e is better In the case of the low configuration model: there is a strong tendency to skew the contours downward the dominant downward flow is diverting the jet-like flow that leaves the tip of the impeller downward, and it convects with the turbulent features of the flow. The axial component of the velocity has high values

30 Future Work Experimental predictions for the Dorr-Oliver Flotation cell Comparisons of the studied cases with the experiments More Re numbers and clearances for the Dorr-Oliver Cell Higher Re numbers for both Tanks ( ) Unsteady calculations Extension to two-phase or three phase flows