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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 of Technology Delft, The Netherlands [email protected]

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

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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 of Technology

Delft, The Netherlands

[email protected]

Multi Scale Physics

Dept. of Multi-Scale Physics

works on

Industrial & Environmental Processes

with a focus on

• Multi-Phase Flows• Reacting Flows• Environmental Flows

Multi Scale Physics

Dept. of Multi-Scale Physics

• New Numerical Toolsefficient solvers, parallel computing,

lattice-Boltzmann, Monte Carlo. ….

• New Experimental Toolsnon-intrusive diagnostics: lasers (LDA, LIF, PIV)

& radiation techniques (gamma, X-ray)

• Applications of Industrial & Societal Interest

Multi Scale Physics

Industrial Processes & Process Equipment:

stirring, mixing, blending,

suspending solids, dissolving particles,

bubbling gases, dispersing immiscible liquids,

precipitation, crystallization, chemical reactors,

(slurry) bubble columns,

2-phase / 3-phase pipelines and risers

Dept. of Multi-Scale Physics

Multi Scale Physics

CFD options available

Reynolds-Averaged Navier-Stokes simulations (RANS)

Direct Numerical Solutions (DNS) Large Eddy Simulations (LES)

Van den Akker H.E.A., Adv. Chem. Eng., Vol. 31, 151- 229, Elsevier (2006)

Multi Scale Physics

Spatial distributions of bubble size according to Bakker (1992)

Rushton Lightnin A315 Pitched Blade

Multi Scale Physics

Gas Fraction

%

2.0

4.0

0.0

RNG k - k -

• 3-D transient (FLUENT)

• grid: 35 x 45 x 8

• Tk - = 39 s ; TRNG k - = 27 s

• vortices move downwards

CFD Bubble Plume (TFM) Loncle, Mudde & Van den Akker (2000)

Multi Scale Physics

Reynolds Averaged Navier-Stokes (RANS) Simulations

• RANS is only suitable for the design of processes the performance of which

depends mainly on the mean flow characteristics and is not strongly affected by the turbulence

• RANS substantially underestimates turbulence levels

Montante et al. (2001)

Multi Scale Physics

A Direct Numerical Solution (DNS) resolves the flow field completely: NO MODELLING AT ALL

Limitation: Reynolds number has to be relatively low

Multi Scale Physics

transient flow in a Kenics®

static mixer

Re=1000

Multi Scale Physics

Comparison FLUENT (FV) with in-house LB code at Re=500

Multi Scale Physics

Comparison LB and FLUENT FV

Re = 500 (laminar, unsteady) flow in

Kenics® Static Mixer

• LB

• 7800k nodes• 1600 MB used, 4 CPUs• 12h

• FLUENT FV • 700k cells

• 660 MB used, 4 CPUs• 62h

Van Wageningen et al., European Mixing XI, Bamberg, 2003

Multi Scale Physics

Kramers Laboratorium voor Fysische Technologie

Simulations &PIVRe = 32

1.000.930.860.790.710.640.570.500.430.360.290.210.140.070.00

|v|vff|/v|/vss

Multi Scale Physics

/av

12

0.012

0.4

5 vol. % particles in isotropic turbulence

Ten Cate, PhD thesis TU Delft, 2002

LB – DNSin a periodic box

Multi Scale Physics

LDA RANS (k-ε)

r/T (-)

z/T

(-)

k/vtip2

0.5 vtip

0 0.50

0.33

0.66

1

Assessment stirred tank flow, Re = 7,300

Angle-averaged flow fields

Hartmann et al. (2004), Chem. Eng. Sci. 59, 2419

LES

Multi Scale Physics

Assessment stirred tank flow, Re = 7,300

Hartmann et al. (2004), Chem. Eng. Sci. 59, 2419

k/vtip2

LDA

r/T (-)

z/T

(-)

0 0.330.26

0.4

RANS (k-ε)

Angle-resolved flow fields

LES

Multi Scale Physics

Dissolving calciumchloride beads in water

spatial particle distribution: 0 < Nt 60

dp / dp0

1

00.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9Nt

= 2

Nt

= 5

Nt

= 7

Nt

= 1

0N

t =

20

particles are 5 times enlarged

dp0 = 0.3 mm; N = 7·106

Multi Scale PhysicsLDPE reactor

Multi Scale Physics

Multi Scale Physics

Conclusions (1)

RANS simulations for single-phase flows and Two-Fluid simulations for two-phase flows

have limited value

and provide limited insight only (if any)

Multi Scale Physics

Conclusions (2)

LES are (becoming) feasible

and should be applied

for reproducing and improving

physical and chemical processes in

industrial an environmental flows

to allow a quantum leap

in improving processes and plants.