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Numerical simulation of vitrification processes: glass
homogeneity by gas bubbling study
E. Sauvage
To cite this version:
E. Sauvage. Numerical simulation of vitrification processes: glass homogeneity by gas bubbling study.
Workshop on gases and bubbles in molten glasses from chemical engineering to geosciences, May 2016,
Paris, France. �cea-02400166�
Numerical simulation of vitrification
processes: glass homogeneity by
gas bubbling study
13 MAY 2016
Workshop on gases and bubbles in molten
glasses
|
E. Sauvage
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 2
Modeling of air bubbling in molten glass
Summary
1- Vitrification technology presentation
2- Semi empirical approach
2-a Model
2-b Interaction with mechanical stirring
3- VOF simulation
Marcoule
(CEA)
Research center
La Hague
(AREVA)
Industrial plant
French Atomic Energy Commission (CEA)
Confinement Research Engineering Department
Waste Confinement and Vitrification Service
CEA / AREVA Joint Vitrification Laboratory (LCV)
Areva
Commercial and industrial operator of 3 vitrification plants
Current pilot of vitrification process
CEA Marcoule (inactive cell)
Cold Crucible
Melter
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 4
VITRIFICATION PROCESS OPERATED
IN THE LA HAGUE PLANT
Solution fed to a rotary calciner (evaporating, drying and calcining functions)
Glass frit fed separately
Melter fed continuously / poured batchwise
Off-gas treatment unit (recycling of particulate material and purification of the gas streams)
4
Industrial French Vitrification Design / A two-step vitrification process
glass
frit
waste
solutions
CCIM
IHMM
Calciner
Off-gas treatment
VITRIFICATION PROCESS OPERATED
IN THE LA HAGUE PLANT
Furnaces technology
Cold Crucible
Inductive Melter
Inductive Hot
Metallic Melter
Oxides Average composition of industrial glass (w %) SiO2 45,6 B2O3 14,1 Al2O3 4,7 Na2O 9,9 CaO 4 Fe2O3 1,1 NiO 0,1 Cr2O3 0,1 P2O5 0,2 Li2O 2 ZnO 2,5 Oxides (PF+Zr+actinides) + Suspension of fines Actinide oxides 17 SiO2+B2O3+Al2O3 64,4
Average chemical compositions for R7T7 glass produced in the industrial facilities at La Hague
Inside view in CCIM
Characteristics:
- Molten glass mass
400 kg
270 kg
- Max throughput
36 kg/h
25 kg/h
- Max temperature
>1400°C
1100°C
- Mechanical stirring
yes
yes
- Gas bubbling
yes
yes
- Approx. life time
>2 years
0.5 year
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 6
- Oil with the same kinematic viscosity as glass (at a
given temperature)
- Explored parameters: liquid viscosity, air flow rate, hole
diameter of the injector...
2 Bubbling characterization and modelisation
Air bubbling overview
Experiment in hydraulic similirarity with silicon oil
R. RIVA (CEA / Grenoble)
Hot glass
Oil
30 to 60 cm
L L G G
g
ρ µ ρ µ σ
r
ρ µ
L
L
Modelisation
Model parameters
Characteristic parameters
2-a « One mesh » model
ε
Nomenclature : Q Gas flow rate (L/h) g Gravity (m/s2)
d0 Orifice diameter (m) Vg Gas velocity (m/s)
VB Bubble rising velocity (m/s) de Equivalent diameter of bubble (m)
fz Body force imposed in the fluid (N/m3)
Cd Drag coefficient (-) Vol Volume of a bubble (m3)
p Liquid pressure (Pa)
ρ
L Liquid density (kg/m3)
µL Liquid viscosity (m2/s)
ε
G Volume fraction of gas
Known parameters
es1
Diapositive 7
es1 The liquid is driven by the rising bubbles
This driving is modelise by a constant vertical body force in the liquid es210797; 22/08/2012
= f( , ) = choice of model
3
z
cuve
inj
z
f
z
H
H
h
D
d
f
ρ ε
g
N m
−
≈
−
≈
≈
= f( ) = experimental correlation
1, 23
f
e
d
=
d
2
3
e
B
Qd
V V
ε
=
2
4
(
1
)
3
e
B
d
d g
V
C
ε
+
=
2-a « One mesh » model
Snabre, P. & Magnifotcham, F. Recirculation flow induced by a bubble stream rising in a viscous liquid
The European Physical Journal B, 1998, 4, 379-38
Jamialahmadi, M. et al, Study of Bubble Formation Under Constant Flow
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 9
Jamialahmadi, M. et al, Study of Bubble Formation Under Constant Flow
Conditions, Chemical Engineering Research and Design, 2001, 79, 523 - 532
2-a « One mesh » model
PIV measurement vs numerical simulation
-0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 -300 -200 -100 0 100 200 300 Vz (m s -1) r (mm) Q100 Expt. Num. Q250 Expt. Num. Q500 Expt. Num. Q750 Expt. Num. Q1000 Expt. Num. -0.06 -0.05 -0.04 -0.03 -0.02 -0.01 0 0.01 0 50 100 150 200 250 300 350 400 450 Vz (m s -1 ) z (mm) Expt. Q100 Num. Expt. Q250 Num. Expt. Q500 Num. Expt. Q750 Num. Expt. Q1000 Num. 0 0.2 0.4 0.6 0.8 1 0 50 100 150 200 250 300 350 400 450 Vz (m s -1 ) z (mm) Expt. Q100 Num. Expt. Q250 Num. Expt. Q500 Num. Expt. Q750 Num. Expt. Q1000 Num.1840 cSt
ν
=
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 11
2-b Interaction with mechanical stirring
Effect of external flow induced by the mechanical stirring
Experimental set-up
PIV measurement
Deviation of the bubble train trajectory
Lagrangian equation for the trajectory :
Drag force
Added mass
Specific drag coefficient :
with
2Re
18
24
D D p pC
F
d
µ
ρ
=
(
) (
)
sup
p
p
D
p
p
g
du
F
u
u
F
dt
ρ
ρ
ρ
−
=
−
+
+
r
r
r
r
r
(
)
sup1
2
p p p p id
u
F
u
u
u
dt
dx
ρ
ρ
ρ
ρ
∂
=
−
+
r
r
r
r
Re
ρ
d u
p pu
µ
−
=
16
1
Re
Cd
= +
Trajectory of bubble train
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 13
With one Air Bubler
Expt.
Num.
0 rpm
20 rpm
Stirring speed
60 rpm
40 rpm
Expt.
Num.
Stirring speed
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 15
Results
A Semi empirical model, simple, validated in a specific range of bubbling, easy
to set up in global calculation of the process.
The interaction of mechanical stirrer is taken into account
Drawback : not predictive outside the range of validation.
This model is used in our project of optimisation or conception of new vitrification
furnace
Modeling the gas-liquid interface
Volume Of Fluid (VOF) model equations
- Volume fraction of one phase
- Momentum equation
(
) (
)
=
∇
+
∂
∂
0
.
1
L L L L L Lv
t
r
ρ
ε
ρ
ε
ρ
( ) ( )
v
v
v
p
[
(
v
v
)
]
g
t
T
r
r
r
r
r
r
ρ
µ
ρ
ρ
+
∇
=
−∇
+
∇
∇
+
∇
+
∂
∂
.
.
1
=
+
G
L
ε
ε
G
G
L
L
ρ
ε
ρ
ε
ρ
=
+
µ
=
ε
L
µ
L
+
ε
G
µ
G
2-b Multiphase model
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 17| PAGE 17
Air jet is a Rayleigh-Plateau
instability. This instability
should be numerically excited.
Problem :
No bubbles
are formed
Air inlet
With high
frequency
modulation of
the inlet air flow
(300 Hz and 4%
magnitude)
2-b Multiphase model
Time
A
ir
v
e
lo
c
it
y
Slow motion
(real time / 10)
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 19
Good qualitative agreement – No more experimental-based correlations
Drawback : Highly time consuming (1 week of calculation for 1 second simulated)
Prospects : Multiphase model
VOF model, very accurate and allowing to simulate complex configuration.
Tool extremely useful to understand phenomena
Openfoam software
~2 millions mesh
Numerical Simulation of mixing molten glass with air bubbling is well
advanced :
1 -
A Semi empirical model, simple, validated in a specific range of
bubbling, easy to set up in global calculation of the process.
• The interaction of mechanical stirrer is taken into account
•
Drawback : not predictive outside the range of validation.
This model is used in our project of optimisation or conception of new
vitrification furnace
2 – A multiphase flow direct simulation (with VOF model) is used for
specifics studies involving very complex interface interaction
Prospects :
Include redox aspect
Workshop on gases and bubbles in molten glasses | CEA | 13 MAY 2016 | PAGE 21
Thank you for your attention
Any questions ?
| PAGE 22
CEA | 10 AVRIL 2012
Direction de l’Energie Nucléaire DTCD
SCDV
Commissariat à l’énergie atomique et aux énergies alternatives Centre de Marcoule| 30207 Bagnols-sur-Cèze cedex
T. +33 (0)4 66 79 XX XX|F. +33 (0)4 66 79 XX XX
Etablissement public à caractère industriel et commercial |RCS Paris B 775 685 019
| PAGE 22