rheological behavior of dense assemblies of granular ... of granular materials: experiments and...

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Rheological behavior of dense assemblies of granular materials: Experiments and Simulations Co-Principal Investigator: Gabriel I. Tardos Research Assistant: Mehrdad Kheiripour Langroudi DoE Workshop on Granular Matter Pittsburgh, May 6, 2010

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Page 1: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Rheological behavior of dense assemblies of granular materials:

Experiments and Simulations

Co-Principal Investigator: Gabriel I. Tardos Research Assistant: Mehrdad Kheiripour Langroudi

DoE Workshop on Granular Matter

Pittsburgh, May 6, 2010

Page 2: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Principal Investigator:• Prof. Sankaran Sundaresan (Princeton University) - SimulationCo-principal Investigators:• Prof. Gabriel I. Tardos (The City College of the City University of New York) - Experiments• Prof. Shankar Subramaniam (Iowa State University) - Simulation

Goal for Experimentation: Provide precise and detailed experimental

results in simple enough geometries to validate simulations.

Papers1. M. Kheiripour Langroudi, S. Turek, A. Ouazzi and G. I. Tardos, “An investigation of frictional and collisional powder

flows using a unified constitutive equation”, Powder Technology, Vol. 119, August, (2009). 2. M. Kheripour-Langrudi, J. Sun, S. Sundaresan and G. I. Tardos, “Transmission of stresses in static and sheared

granular beds: the influence of particle size, shearing rate, layer thickness and sensor size”, in press, NETL Special Issue Journal (2010).

Collaborators

Page 3: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

1. Take into account Industrial (DoE) needs• Design and operate powder processes using scientific approaches

• Avoid endless scale-up and substitute by computations

2. Study industrially (DoE) relevant powders

3. Measure and Predict flow-fields, stresses and forces on objects in flowing powders in industrially important geometries.

1. Measure appropriate powder properties that characterize flows

2. Identify and test instrumentation to measure these characteristics

3. Find and test numerical schemes that can bring Powder Mechanics in line with Computational Fluid Mechanics (CFM)

Goals

Problems to overcome

Page 4: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

The Intermediate Regime of Flow• Coexistence of collisions & enduring contacts in Dense Flows• Characteristic of industrial processes• Power-law dependency of shear stress to shear rate: nγτ ∝ (n < 2)

Static Regime

2/1/*

= gd

pγγ

Map of Powder Flow Regimes

0.01 0.1 1 10 100

Solid

Fra

ctio

n, (1

-ε)

0.55

0.65

Rapid Granular

2)(γτ ∝

Intermediate

1;)( <∝ nnγτ

Slow, Frictional

Stick-Slip

)(γτ f≠

Dimensionless Shear Rate:Static Regime

2/1/*

= gd

pγγ

Map of Powder Flow Regimes

0.01 0.1 1 10 100

Solid

Fra

ctio

n, (1

-ε)

0.55

0.65

Rapid Granular

2)(γτ ∝

Intermediate

1;)( <∝ nnγτ

Slow, Frictional

Stick-Slip

)(γτ f≠

Dimensionless Shear Rate:

Map of Powder Flow Regimes

0.01 0.1 1 10 100

Solid

Fra

ctio

n, (1

-ε)

0.55

0.65

Rapid Granular

2)(γτ ∝

Intermediate

1;)( <∝ nnγτ

Slow, Frictional

Stick-Slip

)(γτ f≠

Dimensionless Shear Rate:

Page 5: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Measure Powder Characteristics in Annular Couette

Continuous Axial-Flow Couette Device• Rotating rough cylinder• Powder sheared in narrow annulus• Vertical flow superimposed on radial shearing• Normal stresses and solid fraction recorded• Torque measured

h

R ωH

L

y

NormalStressSensors

RotatingCylinder

OuterWall

SolidFraction

Page 6: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Couette Device with Normal Sensors

Stationary Wall

Rotating Wall

Side view with wall normal stress sensor

Sensor

Remote normal stress sensorson inner rotating cylinder

Page 7: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

0.2

0.4

0.6

0.8

1

1.2

1.4

0.1 1 10 100

Experiment

Fitted Data

0.1 mm Glass

Friction Coefficient from Experiment in Couette Device

Constitutive equation

na γµ ∝

)tan(φµ →a )friction of angle internal :(φ When Shear rates 0 :

At higher shear rates: Liquid-like behavior

στ

µ =a

(1/s) γ

73.008.045.0 γµ +=aa

n

nij

ij

ij

ij

ijijij apppT γ

γγ

φγγ

φδ

)cos(2)sin(2 ++=

Schaeffer Equation Liquid-like behavior

From Torque

From NormalStress Measurement

Page 8: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Modeling Couette flow with FE MethodsFinite Element Method:• FleatFlow, collaboration with Professor S. Turek, Univ. of Dortmund, Germany• Navier-Stokes type approach using Constitutive equation• Use of a stabilizing parameter to avoid ill-posedness.

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

1.1

1.2

0.001 0.01 0.1 1 10 100

Shear rate (1/s)

µ =

τ/σ

Crushed Glass-Numerical calculation

Round Glass-Numerical Calculation

Crushed Glass-Experiment

Round Glass- Experiment

1 mm spherical and crushed glass

NumericalSolution

Page 9: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Couette with Static “obstacle”

Modeling Couette flow with FE Methods

Cylindricalobstacle

Cylindricalobstacle

Numerical solution of the generalized Navier-Stokes equations for a powder in the intermediate regime. Concentric Couette with a cylindrical obstacle in the middle of the sharing gap.

Page 10: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Modeling Couette flow with “Order Parameter” (OP) Model

Dimensionless Shear Rate

Shea

r to

Nor

mal

Str

ess

Rat

io

500 µm Glass

Axial Flow rate: 2 g/sec

500 µm Glass

Axial Flow rate: 2 g/sec

Continuous Model:• Collaboration with Professor S. Subramaniam of Iowa State University• Combination of Rapid Granular Flow model with Quasi-Static Flow Theory

Page 11: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

The “fast” Shearing Jenike cell Comparison of Experiment and Simulations

• Up to 500 times the Shear Rate in the Jenike cell• Multiple sensors at different locations

Loaded Jenike Cell

Load

Page 12: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

0

1

2

3

4

5

6

100 105 110 115 120 125 130 135 140 145 150Time (s)

Cycle #1

No Load

Experiment

Comparison of Experiment and Simulations

Cycle #2

Simulation

DEM Model:• Collaboration with Professor S. Sundaresan of Princeton University

Page 13: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Experiments with a flat-bottom silo

σzz1

σzz2

σrr2

Page 14: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Flat-bottom siloComparison of experiment and theory

DEM Simulation

Experiments

DEM Simulation:• Collaboration with Professor S. Subramaniam of Iowa State University

σrr

σzz1

σzz2

σzz2

σrr

σzz1 Average values only

Page 15: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Centripetal Flow in a Spheronizer

• Spheronizer: a fixed cylinder and a rapidly rotated bottom surface

• Inertial effects become important as the centripetal force on a grain becomes comparable to the gravitational (hydrostatic) force

• Change in topology is observed at high rotation rates: formation and deepening of empty volume in the center of the rotating disc

StationaryVertical wall

Rotating Rough Disk

Bed ofParticles

Page 16: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Solid Body Rotation to Rope-like Motion by increasing Ω3 mm Glass beads in Spheronizer, Increasing Ω

Page 17: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

• Axis-symmetric problem: • Difficulties in computation:

• Non-zero velocities in r, z and θ directions• Non-linearity of inertial terms in momentum equations• Presence of free surface: solving equations for 2 phases

• Continuity Eq.:

• General Navier Stokes Eq.

• Conservation of momentum in azimuthal (swirl) direction:

0=∂∂

θ

A CFD Approach for Particulate Flows with Free Surface

drdv

rv

rθθ

θγ −=dzdv

θγ −=gaPPDt

uDij

nij

ij

ργγφγ

φρ++∇+−∇= )))cot(.(()sin()(

2

rvv

rv

rPr

rrzvPr

zrvvr

rrvvr

zrv

tr

IIIIrrθθθ

θθθργηγηρρρ −

∂∂

∂∂

+

∂∂

∂∂

=∂∂

+∂∂

+∂∂ )(),(1),(1)(1)(1)( 3

2

0)()( =•∇+∂∂ →

Vt

υρυρ fraction volume:υ

• Collaboration with Dr. Mehrdad Shahnam of DoE

Page 18: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

FLUENT: Capable of solving non linear inertial terms in momentum equation

• Eulerian method to solve for 2 phase flow (phase I: air, Phase II: granular)• Allows for the modeling of multiple separate, yet interacting phases

• Momentum and continuity equations are solved for each phase

• Select 2-D axis-symmetric option

• Insert material properties like size (3 mm) and internal angle of friction (300)

• Use constitutive equation obtained in Couette geometry (rheological parameters a=0.44, n=0.75)

• Defining the shear-stress-shear-rate ratio obtained in Couette experiment by writing UDF (User Defined Functions)

• Compare results of simulation to experiment:• Height of materials and Shape of the free surface as a function of Ω

• Normal stresses in radial and swirling directions

• Solid volume fraction at different positions

A CFD Approach for Particulate Flows with Free Surface

Page 19: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Preliminary Results from Experiments and Simulation

Simulation byDr. Shahnam

Page 20: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Solid Fraction Measurements using a Capacitance Probe

b. Outside the active zone

0.5

0.53

0.56

0.59

0.62

0.65

0.68

0.71

500 1000 1500 2000 2500 3000 3500

Time (s)

ν (S

olid

Fra

ctio

n)

No-Axial Flow

Axial Flow, 1.86 cm3/s

(1/s) 17≈γ

1 mm Glass

(1/s) 34<γ

0.57

0.58

0.59

0.6

0.61

0.62

0.63

0 20 40 60 80 100 120 140 160(1/s)

ν (S

olid

Fra

ctio

n)

γ

a. Inside the active zone

Axial Flow, 1.86 cm3/s

1 mm Glass

Sensitive Element

Inside activeShearing Zone

Outside the activeShearing Zone

Capacitance

Probe

Page 21: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Width of Shear-Band in Axially Flowing Couette using Solid Fraction

Schematic of shearing zone

Solid fraction at different distances from rotating wall (0.6 mm crushed glass)

0.54

0.56

0.58

0.6

0.62

0.64

0 5 10 15 20 25 30 35 40 45

Distance from Rotating Wall (dp)

ν (S

olid

Fra

ctio

n)

2 RPM

5 RPM10 RPM

15 RPM30 RPM

45 RPM60 RPM

90 RPM120 RPM

Shear-band width

Moving Wall Stationary Wall

Shear Band

Plug flow

Shear-band width

Capacitance

Probe

Page 22: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Couette - Inner Drum 30 RPM - 600µ

m ParticleTangential Speed

y = 1.1108E+15e-4.2286E-01x

R2 = 9.4887E-01

0

25

50

75

100

125

150

175

200

225

68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83

Radius (mm)

Par

ticle

spe

ed (

mm

/sec

)

Shearing Gap

Stationary Wall

Moving Wall

~14 dp

Couette - Inner Drum 30 RPM - 600µ

m ParticleTangential Speed

y = 1.1108E+15e-4.2286E-01x

R2 = 9.4887E-01

0

25

50

75

100

125

150

175

200

225

68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83

Radius (mm)

Par

ticle

spe

ed (

mm

/sec

)

Shearing Gap

Stationary Wall

Moving Wall

~14 dp

Width of Shear-Band in Batch Couette using Positron Emission Particle Tracking [PEPT]

Experiment:• Collaboration with J.P.K. Seville and A. Ingram, Univ. of Birmingham, UK

Couette withtagged particle

Page 23: Rheological behavior of dense assemblies of granular ... of granular materials: Experiments and Simulations ... Modeling Couette flow with “Order Parameter” ... FEM, OP, DEM and

Conclusions

Ratio of Shear Stress to Shear rate is constant at low and increases at higher shear rates – experimental correlation can be used as “constitutive equation”.

Solid Fraction measurements showed that the bed has to increase its porosity for the transition to the intermediate regime

Simulation from, FEM, OP, DEM and FLUENT favorably compare to results from Couette, “Fast” Jenike cell and Spheronizer geometries.