SlideShare una empresa de Scribd logo
1 de 81
Descargar para leer sin conexión
Chemical & Physical Processes
in Glass Melting
Quality of glass
melting process
Buchmayer

Ruud Beerkens
TNO Glass Group
Eindhoven, The Netherlands
Glass Service

ICG – EFONGA Spring School Montpellier 4-5 May 2009

1
Contents
• Overview of processes essential for glass melting
• Tools of analysis of industrial glass melting
• Melting-in of Raw materials
• Kinetics of Sand Dissolution
• Removal of Gas bubbles & Dissolved gases
• Evaporation processes
• Homogenisation

ICG – EFONGA Spring School Montpellier 4-5 May 2009

2
ICG – EFONGA Spring School Montpellier 4-5 May 2009

3
refractory corrosion
evaporation:
NaOH, KOH,
NOx and
HBO2,
heat transfer
water infiltration PbO, NaCl,
HF, SO2 etc.

flue gas
chemistry

melting kinetics foaming
fining and redox
refractory corrosion

deposition and
dust formation

1. Overview
Chemistry & Physics
of Glass
Melting Processes

emissions: Na2SO4, Na2B4O7 and PbO dust
HCl, HF, SO2, SO3 , SeO2, HBO2, H3BO3 etc.

ICG – EFONGA Spring School Montpellier 4-5 May 2009

4
Side-effects
•
•
•
•

Evaporation from melt
Refractory corrosion
Combustion & heating
Emissions from evaporation & combustion
Furnace

Raw materials mixed

Or

Homogeneous molten glass

Crucible
Melting-in of batch – chemical reactions/endothermic effects
Sand* grain dissolution
Removal of bubbles/gases
Dissolution of seed (fine bubbles) residue
Homogenisation
- Diffusion (slow)
- Velocity gradients – stretching of inhomogeneities
ICG – EFONGA Spring School Montpellier 4-5 May 2009

5
Parameters for processes in melting
Important parameters:
• Heat transfer

Temperature

viscosity, surface tension,
chemical activity, reaction kinetics, gas evolution..

• Flow characteristics – convection in melt, stirring
• Residence time: time-temperature history
• Exposure of melt to (reactive) atmosphere and refractory
lining

How to assess:
Temperatures and flows in glass melt ?
ICG – EFONGA Spring School Montpellier 4-5 May 2009

6
2. Tools: CFD Simulation Models Glass Furnaces
• Discretize total volume of furnace in small volume cells (> 1 million)
cells LxBxH: (1-10) x (1-10) x (1-10) cm
– GRID / mesh

• Input data process: pull, batch composition, fuel distribution, air
number
• Input furnace:
– Design
– Wall construction, including insulation

• Input glass: viscosity, heat conductivity, density, thermal
expansion, electric conductivity, solubility sand, solubility gases,…
• For each volume cell in tank & combustion chamber
– Energy conservation
– Momentum conservation
– Mass conservation (continuity) for melt and each chemical element
– Respect electro-neutrality
ICG – EFONGA Spring School Montpellier 4-5 May 2009

7
CFD Simulation Models
example: local conservation of energy
∂ (ρ c pT
∂t

) = − div (ρ c T v ) + div (λ
r

increase sensible
heat

p

convection
of heat

grad T ) + q

heat conduction

local
boosting or
cooling

Energy equation, conservation law for
energy in each volume element
ICG – EFONGA Spring School Montpellier 4-5 May 2009

8
Results of CFD simulation models
• Temperatures at all possible positions
– Combustion space
– Glass melt
– Refractory

• Glass melt and Combustion gas velocities
• Trajectories (particle tracing) in tank
– Thousands of different paths can be identified from charging end to throat or
spout

• Redox and dissolved gases
– Redox state of melt at each position (pO2 or Fe2+/Fe3+)

• Residence time distribution
– Minimum residence time is of importance for melting process

• Glass melt quality indices per trajectory
– Trajectory with minimum melting or fining index is decisive for glass
ICG – EFONGA Spring School Montpellier 4-5 May 2009

9
Application of CFD models
• For furnace design (lowest energy, highest glass quality)
–
–
–
–

Optimum depth of tank
Position bubblers or dam or burners
Size and design of throat
Design combustion chamber (LowNOx, less evaporation)

• For optimum process settings
–
–
–
–

Optimum fuel-boosting ratio
Temperature profile (energy distribution)
Bubbling rate
Creation of distinct spring zone to avoid short cut

• Time-transient (time dependent) for colour or pull change
– Optimize colour change process: reduce transition time

• Time-transient for process control (rMPC)
– Sensors give model continuous new information: model tracking
– Model continuously gives recommendation for input parameter changes to
follow optimum process path (low energy, high glass quality, constant T)
ICG – EFONGA Spring School Montpellier 4-5 May 2009

10
Geometry & Grid
for computational fluid dynamics (CFD)
analysis of glass furnace
Port Necks
crown

Burner port

tank

Deep Refiner

Batch Boosting electrodes
ICG – EFONGA Spring School Montpellier 4-5 May 2009

11
Example result CFD computation

Temperature contours

ICG – EFONGA Spring School Montpellier 4-5 May 2009

12
NOx
End-port fired furnace horizontal cross section at level of burners

Base case

4 inch higher crown

ICG – EFONGA Spring School Montpellier 4-5 May 2009

13
NOx
End-port fired furnace vertical cross section at 25 % from furnace length from port
NOx scaling in mole fraction

Base case

4 inch
higher crown
Burner port

Exit port (flue gas)
Lower NOx-concentration in exit

ICG – EFONGA Spring School Montpellier 4-5 May 2009

14
Glass melt path with lowest ‘temperature‘ index
canal

Temperatur indexpath i
e

T
= ∫
dt
η
doghouse

Temperature course of glass (melt) in typical float glass furnace with
minium temperature index
1800
1600
Temperature in oC

1400
1200
1000
800
600
400
200
0
0

2

4

6

8

10

12

14

Time in hours

ICG – EFONGA Spring School Montpellier 4-5 May 2009

15
Sensors (short overview)
• Combustion gases
• gas composition:
• laser optics
• electrochemical sensors (oxygen)

• Glass melt
• chemical composition
• LIBS = laser induced breakdown spectroscopy
emf
• redox / colour parameters
t/c
• Potentiometry
• Voltammetry

Type B
(mV)

(mV)

Alumina rod

Pt / Ni-NiO // ZrO2 // pO2 (glass) / Pt
EMF =

RT
pO 2 (glass)
⋅ ln
nF
pO 2 (ref.Ni/NiO)

Pt measuring
electrode

ICG – EFONGA Spring School Montpellier 4-5 May 2009

Zirconia cell

Ni/NiOreference mix
16
3. Melting-in of batch
• In glass furnaces (industrial)
– Kinetics determined by heat transfer through
batch blanket

• In small crucibles:
– Kinetics determined by contact between
different batch constituents and temperature

ICG – EFONGA Spring School Montpellier 4-5 May 2009

17
Return flow
for batch heating

Generation blisters
from refractory

Day
hopper

Refining
Bubble absorption

Hot spot &
evaporation

Conditioning of melt
Thermal homogeneity

Zone for sand
grain dissolution
Batch melting
• 40-60 minutes
• 80-90 % of net heat flux

Spring zone
& primary fining

Return flow
from working end

ICG – EFONGA Spring School Montpellier 4-5 May 2009

18
Scheme of melting process of batch blanket, charging velocity vg
(m/s)
combustion space
heat transfer
gas release

thickness

temperature
profile

reaction zone
figure 1b
glass melt layer

normal batch

Zipfel

glass
level

reaction zone

glassmelt
flow

heat
transferred

figure 1c

ICG – EFONGA Spring School Montpellier 4-5 May 2009

19
Detailed re-presentation of the batch melting process
in glass furnace
1500

o

C

Layer
glassmelt

melts

Dissolution
sand grains

loose batch

sand
grains
gas

melting
reactions
batch

melting
reactions

carbonates
(soda/lime)
gas

dissolution sand
grains

sand
grains

b. top of batch blanket

glass melt 1400
c.

o

C

bottom side of batch
blanket

ICG – EFONGA Spring School Montpellier 4-5 May 2009

20
Example:
Melting reactions of soda lime (dolomite) silica batch
• De-hydratation (100 oC physical bonded water & > 100 oC hydrates)
– Important for energy consumption: water evaporation is energy intensive

• Solid state reactions, formation of silicates, e.g.:
Carbonate route < 900 oC at fast heating rate
(melts at ±820 oC)

High amount of
heat required
(550-850 oC)

Na2CO3 + CaCO3

Na2Ca(CO3)2

Na2Ca(CO3)2 +2SiO2

Na2SiO3/CaSiO3 + 2CO2↑ reaction enhances > 820 oC

Na2CO3 + 2SiO2

Na2SiO3 + CO2↑

(790-850 oC)

• Formation of primary melt phases (alkali rich carbonates), e.g.:
Tm Na2CO3
Tm Na2Ca(CO3)2
Tm K2CO3

= 850 oC
= 820 oC
= 890 oC

ICG – EFONGA Spring School Montpellier 4-5 May 2009

21
Melting reactions of soda lime silica batch
limited kinetics may shift some reactions to higher temperatures
• Decomposition reactions of (Ca- and Mg-) carbonates:
heat required
CaCO3 + heat

CaO + CO2↑

MgCO3 + heat

MgO + CO2↑

MgCO3·CaCO3 + heat

MgO + CaCO3 + CO2↑

(910 oC at pressure 1 bar)
(540 oC at pressure of 1 bar)
(650 oC, 1 bar)

MgO still present up to 1150 oC.

• Dissolution reactions of SiO2, e.g. (coarse limestone)
Na2O·2SiO2 + CO2↑ T > 790 oC
forms with SiO2 an eutectic melt
Or at further heating
fast Na2O·SiO2 formation (850 oC) –
limestone decomposes and:
2CaO + (SiO2 + Na2O·2SiO2 )eutectic melt
Na2O·2CaO·3SiO2 (> 900 oC)
Reactive calcination: Na2CO3 + 2SiO2

Silicate route: Silicate melt + SiO2
silica enriched melt T > 1000-1100 oC
Eutectic melt phases are formed above ±800-840 oC
ICG – EFONGA Spring School Montpellier 4-5 May 2009

22
Phase diagram for the system Na2O – SiO2 showing
eutectic sodium silicate melt phases

100 % SiO2
ICG – EFONGA Spring School Montpellier 4-5 May 2009

23
Scheme of melting reactions of soda lime glass batch
1080 oC: T s Na2SiO 3
910 oC : CaCO 3
CaO + CO 2 (gas)
o
850 C : T s Na2CO 3
820 oC : T s Na2Ca(CO 3)2
790 oC : T eut Na 2O.2SiO 2 + SiO 2
740 oC : T eut Na 2Ca(CO 3)2 + Na2CO 3
650 oC : MgCO 3.CaCO 3
MgO+CaCO 3+CO 2 (gas)
540 oC : MgCO 3 -> MgO + CO 2 (gas)

Dissolution of SiO 2, CaO,
MgO, Al2O 3 e.d. in melt phases
primary melts
decomposition
carbonates
solid state reactions
volatilisation of water

0

200

400

600

800
1000
temperature in oC

1200

ICG – EFONGA Spring School Montpellier 4-5 May 2009

1400

24
Overall chemical energy demand

-1

CaCO3(s) -> CaO(s) + CO2(g)

Chemical energy consumption rate [kJ·kgbatch ·K ]

MgCO3·CaCO3(s) -> MgO(s) + CO2(g) + CaCO3(s)

-1

10

8

Na2CO3(s) + SiO2(q) -> Na2O·SiO2(s) + CO2(g)
Na2CO3(s) -> Na2CO3(l)

6

Na2CO3(l) + SiO2(q) -> Na2O·SiO2(s) + CO2(g)
Na2O·SiO2(s) + SiO2(q) -> NS(l)
CaO(s) + melt

4

2

0
600

650

700

750

800

850

900

950

1000

-2

Temperature [°C]

Chemical enthalpy of batch reactions for float glass
from soda-sand-dolomite and limestone (positive: endothermic effects)
ICG – EFONGA Spring School Montpellier 4-5 May 2009

25
4. Dissolution of ‘refractory’ type raw material
in silicate melt
example: sand grains

ICG – EFONGA Spring School Montpellier 4-5 May 2009

26
Sand grain
Glass melt

CSiO2

Ce(T) = saturation level SiO2 in melt

100

Cb

Ce (T)

Cb

= bulk SiO2 level in melt
(depends on amount
dissolved sand)

Moving boundary
Diffusion of SiO2 in melt
ICG – EFONGA Spring School Montpellier 4-5 May 2009

27
Dissolution front

One-dimensional dissolution in multi-component liquid

Mass fraction SiO2 in saturated melt: we
Multi-component liquid

Dissolving material

w is mass fraction SiO2 in melt

a

x
dissolution

we
 ∂w 


 ∂x  a

w

ρ SiO2

 ∂w 
ρe ⋅ 

da
 ∂x  a
⋅
= − D⋅
dt
(1 − VA ⋅ ρ e ⋅ w e )

ICG – EFONGA Spring School Montpellier 4-5 May 2009

28
Mathematical description
(Ready & Cooper 1966)
-

Spherical symmetry – diffusion in 3 dimensions
Assuming constant diffusion coefficient in melt
Ideal solution, partial molar volume of SiO2 in melt is constant
Convection (term u) due to change of partial molar volume of SiO2 in sand versus in melt
Moving boundary: dissolving sand is partly staying in volume it came from

Mass flux (j) of dissolved SiO2

J
D
r
R
t
ρ
C
u

= mass flux of SiO2
= diffusion coefficient of SiO2 in silicate melt (m2/s)
= radial co-ordinate (distance from sand grain centre) (m)
= radius sand grain (m)
= time (s)
= density of melt (kg/m3)
= local SiO2 mass concentration (kg/m3)
= mass average velocity radial direction due to expansion by dissolution
(change in molar volume) (m/s)
ICG – EFONGA Spring School Montpellier 4-5 May 2009

29
Solution dissolution sand grain
without forced convection

Effect of moving boundary

a

=

actual grain size radius (m)

VA

=

partial specific volume of SiO2 in molten glass (m3/kg)

Cs

=

density of sand grain (kg/m3)

Ca

=

mass concentration SiO2 in saturated melt (kg/m3)

ICG – EFONGA Spring School Montpellier 4-5 May 2009

30
Sand grain dissolution with convection by
glass melt velocity gradients & density
differences
ρ SiO2
h
we
ws
VA
a
t
ρs
ρSiO2
D

da
⋅
= − h ⋅ (w e ρ e − w sρ s ) /(1 − VA ⋅ w e ⋅ ρ e )
dt
= mass transfer coefficient SiO2 into melt (m/s)
= mass fraction SiO2 in saturated melt (depends on T, and glass) (kg/m3)
= mass fraction SiO2 in bulk melt (depends on dissolved sand)) (kg/m3)
= partial specific volume of SiO2 in molten glass (m3/kg)
= actual radius sand grain (m)
= time (s)
= density of melt (kg/m3)
= density sand grain (kg/m3)
= diffusion coefficient of SiO2 in silicate melt (m2/s)

ICG – EFONGA Spring School Montpellier 4-5 May 2009

31
Mass transfer coefficient




Sh
1
1

h=
⋅D ⋅  +
R

2
Sh
⋅D ⋅ t 
π⋅

2


h

=

D =

mass transfer coefficient (m/s)
diffusion coefficient of SiO2 in the molten glass, based on concentration
profiles given in mass fraction (D in m2/s)

R =

grain radius (m),

t

time (s),

=

Sh =

Sherwood number for mass transfer from spherical grain,
≈
2 + 0.89 {Re · Sc + (Gr · Sc)3/4}1/3 *
=
2 (no convection)
=
f (R2/3 , D-1/3, (grad v)1/3) (convection flow of the glass melt)
=
f (R3/4 , h-1/4 , D-1/4)

(free convection of surrounding melt relative to the sand grain: v = flow velocity of the
melt relative to the sand grain (m/s), η = viscosity (Pa.s)
ICG – EFONGA Spring School Montpellier 4-5 May 2009

32
30000
no convection
Dissoltion time in s

25000
20000
v-gradient
15000

-1

0.001 s

10000
v-gradient
5000

0.025 s

0
1350

-1

1450

1550

1650

1750

1850

T in K
Dissolution time required for complete dissolution of sand grains in
almost static and stirred soda-lime silica glass melts (forced convection
with velocity gradient grad v) at different temperatures. Initial size Ao=100 mm.
ICG – EFONGA Spring School Montpellier 4-5 May 2009

33
Dissolution of sand and alumina grains in static and convective sodalime-silica glass melt at 1700 K, moving boundary effect taken into
account (not on concentration profiles)
1.20E-04

1.00E-04

sand,
grad v=0

sand,
grad v= 0 steady state

sand,
-1

grad v=0.001 s

radius in m

8.00E-05

sand,
-1
grad v=0.01 s

6.00E-05

alumina,
-1
grad v=0.01 s

4.00E-05

alumina,
-1
grad v=0.001 s
sand,
steady state
-1
grad v=0.001 s

2.00E-05

0.00E+00
0

5000

10000

15000

20000

alumina,
grad v = 0

25000

30000

35000

time [s]

ICG – EFONGA Spring School Montpellier 4-5 May 2009

34
5. Fining Processes

ICG – EFONGA Spring School Montpellier 4-5 May 2009

35
Seeds after batch melting
Coarse sand

Seeds after batch melting
Fine sand

ICG – EFONGA Spring School Montpellier 4-5 May 2009

36
10 mm

Glass just after batch melting
- sample thickness ± 5 mm
ICG – EFONGA Spring School Montpellier 4-5 May 2009

37
0

to

ICG – EFONGA Spring School Montpellier 4-5 May 2009

8 mm

38
Bubbles & Seeds just after melting
•

Many small seeds and bubbles (Blisters) in glass melt
combustion space

(Mulfinger 1976 GTB)

heat transfer
gas release

– More than 100.000 per kg glass melt
thickness

reaction zone
figure 1b
glass melt layer

temperature
profile

glass
level

normal batch

– Most bubble diameters: 0.05 -0.4 mm

reaction zone

glassmelt
flow

•

heat
transferred

figure 1c

In most glass melts (using carbonates):

– bubbles in batch melting area: contain often mainly CO2
•

Large concentrations dissolved CO2 in melt

•

During sand grain dissolution in melt: generation
of fine CO2 seeds (Gispen)
from Glass Service
ICG – EFONGA Spring School Montpellier 4-5 May 2009

39
Fining
Objective of Fining:
Removal of bubbles and dissolved gases from the glass melt
Rising velocity of bubble:

v ascension
ρ =

Density of the glass melt [kg/m3]

η =

Viscosity of the melt [Pa·s]

R =

Bubble radius [m]

g =

Acceleration of gravity [m/s2]

c =

c ⋅ ρ ⋅ g ⋅R
=
η

2

Factor (e.g. Stokes c = 2/9)

ICG – EFONGA Spring School Montpellier 4-5 May 2009

40
Time to reach glass level at 1 meter [h]

Fining
Time to reach glass surface (1 meter)
250
1400 OC
200
1450 OC

1350 OC

150
100
1500 OC
50
0
0

100

200

300

400

500

Bubble diameter [µm]
ICG – EFONGA Spring School Montpellier 4-5 May 2009

41
III. Fining gases and
other dissolved
gases diffuse
strongly into bubble
II. start of fining:
gases diffuse into
bubble

I. static bubble

Reaction in melt: release of fining gases
Pgases melt > pt (pt is pressure in bubble)
ICG – EFONGA Spring School Montpellier 4-5 May 2009

42
Two fining steps
•

First step: primary fining
– High temperatures
– Bubble agglomeration and bubble size growth
– Dissolved gases diffuse from melt in to bubbles (like
bubbles in soda drinks)
– Ascension to glass melt surface

• Second step: Secondary fining/Refining (secondary fining)
– Dissolution of (small) remaining bubbles
• Only effective if bubble contains gases (CO2, O2, SO2+O2)
that dissolve in cooling melts
• Glass melt should be lean in dissolved gases

ICG – EFONGA Spring School Montpellier 4-5 May 2009

43
Mechanism sulfate primary fining
Fining process in glass melt
pSO2 · pO21/2 ·aNa2O

K=

pSO2· pO21/2

K’ =
aNa2SO4

[SO3]

Increasing temperatures lead to increasing K-values →
extra oxygen gas & SO2 gas release:
- oxygen & SO2 molecules diffuse into growing bubbles
- bubble ascension increases (vascension~R2)
- sulfate retention decreases
ICG – EFONGA Spring School Montpellier 4-5 May 2009

44
Fining (primary)
– Fining agents added to the batch to enhance the
rising velocity of bubbles
– Often used fining agent: Sodium sulphate
Fining reaction: T > TFining onset
Na2SO4 ⇔ Na2O + SO2 (gas) +1/2 O2 (gas)

Cm CO2

pSO2 ⋅ pO2
K =
[SO3 ]
'

CO2

Stripping of CO2
and N2 from melt

Cm N2

SO2
O2

N2
Dilution of N2 & CO2 in bubble by fining gases

ICG – EFONGA Spring School Montpellier 4-5 May 2009

45
Multicomponent diffusion of gases in bubbles





d
Shi Di
1
1

⋅ ⋅ Rg ⋅ T ⋅ (Csi − Cii) ⋅  +
(4πR3 ⋅ pt ) /(3Rg ⋅ T) = 4πR2 ⋅ Σi
R

dt
2 pt
Shi
⋅ Di ⋅ t 
π⋅

2



[

]

Shi = 1+ (1+ 2·v·R/Di )1/3

ICG – EFONGA Spring School Montpellier 4-5 May 2009

46
Fining/Refining: degassing & removal of bubbles
• Mostly applied fining agents in glass industry: Na2SO4 & Sb2O5
– Na2SO4 (m) → SO2 (g) + 0.5 O2 (g) + Na2O (m)
– Sb2O5 (m) → Sb2O3 (m) + O2 (g)
• Na2SO4 added in concentrations 0.1 – 1 wt. % to batches of:
– Soda lime glass for container, float and tableware
– E-borosilicate glass for fibres
• Na2SO4 partly decomposes during batch melting & releasing SO2 in
early melting stages
• Dissociation temperature of Na2SO4 in melt:
– Between 1350 – 1480 ºC, depending on redox state
– Between 1100-1350 oC (reduced batches) Na2SO4+Na2S
reactions forming SO2 and or S2 gas.
ICG – EFONGA Spring School Montpellier 4-5 May 2009

47
Fe2+/Fetotal

Sulfur retention (wt.%SO3)

0.6
0.5

80

70

60

Sulfur only in Sulfur in
form of S2form of SO42-, S2-

40

25

15

%

Sulfur only in
form of SO42-

(probably also SO32-?)

0.4
0.3

1400 oC

0.2
0.1

1500 oC

0.0
-8

-7

-30

-6
-5
-4
-3
Log pO2 in the melt at 1400°C (bar)

-20

-10

0

+10

-2

-1

+20

redox number
ICG – EFONGA Spring School Montpellier 4-5 May 2009

48
Mass
Spectrometer
Synthetic gas

30 mm

ICG – EFONGA Spring School Montpellier 4-5 May 2009

49
High temperature test facility

ICG – EFONGA Spring School Montpellier 4-5 May 2009

50
Fining/Refining: degassing & removal of bubbles
1. Primary fining
– Removal of bubbles by rising of bubbles to melt
surface
– Bubble growth under influence of fining agents
– Stripping of dissolved gases by growing of gas bubbles
(dilution)

Fining

ICG – EFONGA Spring School Montpellier 4-5 May 2009

51
Enhanced Sulfate Fining by
Dissolved Water in Melt
O2
N2

CO2
O2

H2O
H2O

Oxy-case

SO2

SO2
O2
N2

CO2
O2
SO2

H2O
Air case
SO2

In oxygen-fired glass furnace:
peH2O = 0.25-0.40 bar
Fining only if:
peSO2 + peO2 > 0.70 - 0.75 bar
In air-fired furnace:
peH2O = 0.10-0.15 bar
Fining only if :
peSO2 + peO2 > 0.9 bar

ICG – EFONGA Spring School Montpellier 4-5 May 2009

52
Evolution of fining gas: water lean & rich melts

50

water vapor pressure

40

0 bar

30

0.20 bar

20

0.60 bar

3

m /batch

Volume of gas in

Gas evolution during sulfate fining of soda lime glass
melt - effect of water vapor level 60

10
0
1300

1400

1500

1600
o

Temperature in C

ICG – EFONGA Spring School Montpellier 4-5 May 2009

53
Stripping of dissolved gases from melt

ICG – EFONGA Spring School Montpellier 4-5 May 2009

54
Pressure in melt before and during fining & cooling

Total internal pressure in melt
bar

[S]initial= 0.3 mass% SO3 300 mgr water/kg [Fe2+]/ [Fetotal] = 20 %

1.2
1.0
0.8
0.6
0.4
0.2
0.0
1200

1300

1400

1500

1600

o

Temperature in C

ICG – EFONGA Spring School Montpellier 4-5 May 2009

55
Partial pressure in float glass melt during heating

Partial pressure in float glass melt
in bar

[S]initial = 0.3 mass% SO3 300 mgr water/kg [Fe2+]/ [Fetotal] = 20 %
1.E+00

SO2

1.E-01
H2 O
1.E-02
O2
1.E-03
CO2
1.E-04
N2
1.E-05
1250

1350

1450

1550
o

Temperature in C

ICG – EFONGA Spring School Montpellier 4-5 May 2009

56
O2
fining gas

CO2

mol/m3

mol/m3

Modeling dissolved gas distribution in glass melt tank
ICG – EFONGA Spring School Montpellier 4-5 May 2009

57
Fining/Refining: degassing & removal of bubbles
2. Secondary fining (refining)
– Re-absorption of residual gases during controlled cooling
• Chemical solubility SO2 and O2 increases with
decreasing temperature: gases will be re-absorbed
during cooling.
• Physical solubility of dissolved gases increases slightly
with decreasing temperature: these gases will also be reabsorbed during cooling

Refining
ICG – EFONGA Spring School Montpellier 4-5 May 2009

58
Fining at low pressure

- Same amount of gas needs large volume
- Low partial pressures in bubble will stimulate gas diffusion
from melt into bubble

ICG – EFONGA Spring School Montpellier 4-5 May 2009

59
6. Evaporation processes

ICG – EFONGA Spring School Montpellier 4-5 May 2009

60
Multi-component glasses
• Different oxides
• Oxides in glass with high chemical activity or vapour
pressure:
– React at glass melt surface with combustion gases
– Evaporate from glass melt surface
– Show depletion at surface layer
INCONGRUENT EVAPORATION

ICG – EFONGA Spring School Montpellier 4-5 May 2009

61
Evaporation mechanisms
•

Direct evaporation of volatile glass components from the surface of the melt,
e.g. volatilization of PbO from lead crystal melts;

•

Evaporation of components by reactions in the melt itself, forming volatile
compounds; generally such volatile compounds exhibit high activity coefficients
and weak bonding with other glass melt species.
–

•

An example: formation of alkali borates in alkali borosilicate melts,
subsequently evaporation of alkali meta-borates/tetra-borates takes place,
Na2O(melt) + B2O3 (melt) ⇔ 2NaBO2 (melt) ⇒ 2 NaBO2 (vapor)
Evaporation by reactions of certain glass melt components with gas
species at the surface of the melt.
The evaporation rate & vapor pressure depends on the composition of
the gas atmosphere above the melt.
B2O3 (glass melt) + H2O

⇒ 2HBO2 (vapor)

Na2O (glass melt) + H2O (gas)

⇒ 2NaOH (vapor)

Na2O(glass melt) + CO (gas)

⇒ 2Na (vapor) + CO2

ICG – EFONGA Spring School Montpellier 4-5 May 2009

62
Kinetics of evaporation
The volatilization rate is often determined by:
• mass transport of the relevant species from the
melt interior (bulk) to the surface;
• the vapor pressures of the volatile components at the
surface of the melt, dependent on the glass composition,
temperature and gas atmosphere;
• the mass transfer of evaporated species from the surface
of the melt into the main gas stream above the melt.
ICG – EFONGA Spring School Montpellier 4-5 May 2009

63
Reactive evaporation
For reactive evaporation of a component j in the melt reacting with
a gas k and forming gaseous species i with saturation pressure
pi*, according to reaction:
n·j (melt) + m·k (gas)
Reaction equilibrium: pi*q

q·i (gas)

= K · ajn · pkm

The values of K (equilibrium constant, assuming chemical
equilibrium at the glass melt surface) and aj (activity of component j
in the molten glass at the surface) can be determined
experimentally or by thermodynamic modeling

ICG – EFONGA Spring School Montpellier 4-5 May 2009

64
Static melt and static atmosphere above the
melt (interface x = 0)
Diffusion in melt of reacting glass melt component j:

dCj/dt = Dm,j·δCj2/δx2

Time dependency: Cjsurface(t).

Dm,j is the inter-diffusion coefficient of the volatile component j in the melt.

at t = 0
at t > 0
at t > 0

-∞ < x < 0
x
−∞
x =0

Cj = Cjbulk
Cj = Cjbulk
Cj = Cjsurface(t)

For the vapor i in a static gas phase with partial vapor pressure pi,
the diffusion process in the gas phase can be described in a similar way:

δ(pi/RgT)/δt = Dg,i ·δ2(pi/RgT) /δx2
Dg,i is the diffusion coefficient of the vapor I in the gas phase.

at t = 0
at t > 0
at t > 0

0<x<∞
x
∞
x =0

pi = pi,gasbulk
pi = pigasbulk
pi = pi*(t)

ICG – EFONGA Spring School Montpellier 4-5 May 2009

65
-3

Na2 O concentration [mol.m ]

4970
4968
4966
4964
4962

5 sec.

4960

50 sec.
250 sec.

4958
4956

DNa2O=3.3 10-11 m 2.s -1

4954
0

0.01

0.02

0.03

0.04

0.05

0.06

distance from surface [mm]

Calculated time dependent- Na2O concentration profiles in static melt
Situation: static conditions in semi-infinite gas phase with 0.55 bar vapor pressure
and semi-infinite soda-lime-silica melt
(13 wt% Na2O, 10 wt% CaO, 5 wt% MgO, 72 wt% SiO2).
Dg,NaOH = 2.7 10-4 m2·s-1 , Dm,Na2O = 3.3 10-11 m2·s-1
ICG – EFONGA Spring School Montpellier 4-5 May 2009

66
Evaporation in gas flow above molten glass
pb,i
main gas stream
velocity, vg

diffusion of gas i in
gas boundary layer, Dgi

surface reaction:
n·j (melt)+ m·k (gas) ⇒ q·i (gas) p*i
glass melt surface
C j-profile
Example:
Na2O (m) + H2O(g) ⇔ 2NaOH (g)

Transport of component
j in the melt, Dm,j

ICG – EFONGA Spring School Montpellier 4-5 May 2009

67
Evaporation in gas flow
Average evaporation rate (over length Lg of gas flow above
melt ) of component i (formed by reaction of glass
compound j) into (turbulent) gas phase:
Qm,j =(ni/qi)·A·vg0.8·ρg0.47·µgas-0.47·Dg0.667·Lg-0.2· Rg-1·T-1·B·Cj,x=0(t)

The proportionality parameter B depends on the furnace
atmosphere composition and the chemical activity of the
volatile component in the melt.
For NaOH-evaporation, the B value depends on the water
vapor pressure in the furnace atmosphere, B ∼ pH2O0.5
ICG – EFONGA Spring School Montpellier 4-5 May 2009

68
Mass transfer equations
Average evaporation rate (rate of loss of glass component j)
over length Lg from leading edge:
Qm,j = -Dm,j·(δCj/δx)x=0 = α·Cj,x=0(t)
α = (ni/qi) · A· vg0.8·ρg 0.47·µgas-0.47·Dg0.667·Lg-0.2· Rg-1·T-1· B
Turbulent flow of gas
v = velocity, g refers to gas phase, Rg is universal gas constant, T in K,
B ratio between vapour pressure i and surface concentration component j
A = between 0.03 and 0.04 for turbulent gas flow (Re > 300000 or for disturbed flows)

ICG – EFONGA Spring School Montpellier 4-5 May 2009

69
Solution in flowing gas and static melt
For kd defined as α/DmNa2O the solution for a single component j
Evaporating from a static melt in flowing gas phase
Assuming complete depletion at surface for t

∞

MQm.j is the total evaporation mass loss per unit surface area between
time 0 and τ

MQm.j = (Cj,0/kd)·{exp(kd2·DmNa2O·τ)·erfc[kd·(DmNa2O·τ)0.5] -1
+ 2kd·(DmNa2O·τ/π)0.5}
Cj,x=0(t) = Cj,0· exp(kd2·DmNa2O·τ)·erfc[kd·(DmNa2O·τ)0.5]
Cj,0 = bulk concentration compound j at t=0
ICG – EFONGA Spring School Montpellier 4-5 May 2009

70
5000
-3

melt [mol.m ]

Na2O concentration in

5500

4500

stagnant gas
4000

Lg= 2 m, v= 2 m.s-1
Lg= 2 m, v = 5 m.s-1

3500

Lg= 0.5 m, v= 2 m.s-1
3000
0

0.5

1

1.5

2

2.5

distance from surface [mm]

Local concentration profile in soda-lime silica melt after 7200 seconds exposure time,
calculated for NaOH-evaporation from static melt in static or flowing gas phases,
(Lg= downstream distance from leading edge ).
Temperature = 1500 oC, pH2O = 0.55 bar. Dm,Na2O = 3.3 10-11 m2·s-1
Glass composition (mass %): SiO2 =72, Na2O =13, MgO = 5, CaO = 10
ICG – EFONGA Spring School Montpellier 4-5 May 2009

71
parameter is temperature:
5000

1723K
1773 K
1823 K

4000

-3

[mol.m ]

Na2O-surface concentration

6000

1873 K
3000
2000
1000
0
0

5000

10000

15000 20000
time [s]

25000

30000

Change in Na2O-surface concentration soda-lime-silica melt at different
temperatures in flowing gas (5 ms-1), 1 meters downstream.
pH2O in gas = 0.55 bar & Na2O in glass = 13 mass%.
Dm,Na2O= 8 10-10 exp(-5655/T) in upper graph
ICG – EFONGA Spring School Montpellier 4-5 May 2009

72
Experimental – Set up to study
(reactive) evaporation from molten glass
Thermocouples
Platinum funnel

Porous
plate

Gases IN:

Platinu
m gas
samplin
g probe

Platinum
coating (30 cm)

Platinum boat

N2, H2O,
O2

melt

ICG – EFONGA Spring School Montpellier 4-5 May 2009

73
Mass transfer in gas phase during
transpiration – evaporation test
Shtranspiration

0 .5


2


1 .5
=  C1 + C 2 ⋅ Re d ⋅ Sc + 
 ⋅ C3 ⋅ (Re d ⋅ Sc ) 


 1 + 22 ⋅ Sc 



h g ,i =

Q g ,i =

Vessel with
liquid of melt

1

3

Shtranspiration ⋅ D g ,i
d

hg ,i
R ⋅T

(

⋅ pi (t ) * − pi bulk

)

2.5E-03

x=0

pi*(t) (e.g. p*NaOH or p*NaBO2)
can be derived from evaporation
(transpiration experiments)
From measured Qg,i and Sherwood
relations derived with model liquids

Water evaporation rate
QH2O (moles s -1 m-2)

2.0E-03

1.5E-03
Measurerments

1.0E-03

CFD model
Empirical equation (2.19)

5.0E-04

0.0E+00
0

100

200
Reynolds number
Re (-)

ICG – EFONGA Spring School Montpellier 4-5 May 2009

300

400

74
1.E-06

Modeled aNa2O (-)

SiO2:Na2O:CaO = 74:16:10 mol
1.E-07

Na2O.2SiO2
y = 0.9823x
R2 = 0.9283

1.E-08

1.E-09
1.E-09

1.E-08

1.E-07

1.E-06

Measured aNa2O (-)

Na2O activity at glass melt surface determined by transpiration test

measuring p*NaOH: Na2O + H2O

2 NaOH

ICG – EFONGA Spring School Montpellier 4-5 May 2009

75
Derivation chemical activity of volatile glass
component at surface of melt
K = exp(-∆G/RT) = p*NaOH2/aNa2O.pH2O
From thermodynamic tables:
∆G = GfNa2O+GfH2O- 2GfNaOH(g)
p*NaOH is measured from QNaOH and pH2O is
controlled
aNa2O (surface) can be determined
K is calculated by standard Gibbs free energy values of
products & reactants of reaction
ICG – EFONGA Spring School Montpellier 4-5 May 2009

76
Non static melt & non static gas phase
free convection by density gradients
Gas flow
Low Na2O

Mid Na2O

High Na2O

Float glass melt with Na2O concentration differences
ICG – EFONGA Spring School Montpellier 4-5 May 2009

77
6. Homogeneity of glass
Micro-mixing: transfer from high to low chemical activity by diffusion

Cm
- π 2 . D.t
= A exp
Co
Lo 2
Macro-mixing: elongation of in-homogeneities exposed to velocity gradient in melt

C(x,t)

dC
d 2C
= D⋅ 2
dt
dx

t=0
Cm (t)

Slow diffusion processes
t = t1

t = t2
Co

Lo
ICG – EFONGA Spring School Montpellier 4-5 May 2009

78
Macro-mixing
Reduction of diffusion distance, Lo
velocity v + dv

velocity v

y
In the case, t dv/dy >> 1:

L=

L0
dv
⋅
t
dy

For macro-mixing in combination with diffusion (by approximation):

Cm
π 2 . D . t 3 .( dv / dy ) 2
= A .exp −
Co
L2
0
A

= proportionality factor dependent on the shape of the cord
ICG – EFONGA Spring School Montpellier 4-5 May 2009

79
Macro versus only Micro mixing
• Small velocity gradients (> 0.01 m/s per m) enhance
homogenisation process with factor 20 to 100
• Velocity gradients by:
– Stirring
– Bubbling
– Temperature gradients
free convection

ICG – EFONGA Spring School Montpellier 4-5 May 2009

80
Thank you for your attention
What does a number tell us without the proper unit?

ICG – EFONGA Spring School Montpellier 4-5 May 2009

81

Más contenido relacionado

La actualidad más candente

Float glass manufacturing process
Float glass manufacturing processFloat glass manufacturing process
Float glass manufacturing processAjeetSaini3
 
Metallurgy Casting
Metallurgy  CastingMetallurgy  Casting
Metallurgy CastingMoiz Barry
 
Pretreatment of hot metal
Pretreatment of hot metalPretreatment of hot metal
Pretreatment of hot metalNikhi Lesh
 
Mould material & Alloy
Mould material & AlloyMould material & Alloy
Mould material & AlloyVeer Singh
 
Glass industry presentation
Glass industry presentationGlass industry presentation
Glass industry presentationMuhammad Mohsin
 
Presentation on glass manufacturing
Presentation on glass manufacturingPresentation on glass manufacturing
Presentation on glass manufacturing811118222
 
Powder Metallurgy-Module III
Powder Metallurgy-Module IIIPowder Metallurgy-Module III
Powder Metallurgy-Module IIIDr. Rejeesh C R
 
A Simple Digital Combination Lock ADVANCE DIGITAL DESIGN
A Simple Digital Combination Lock ADVANCE DIGITAL DESIGNA Simple Digital Combination Lock ADVANCE DIGITAL DESIGN
A Simple Digital Combination Lock ADVANCE DIGITAL DESIGNArlene Smith
 
Phenolic Formaldehyde Resin (PF) (Manufacturing Industry, Detailed Project R...
Phenolic Formaldehyde Resin (PF)  (Manufacturing Industry, Detailed Project R...Phenolic Formaldehyde Resin (PF)  (Manufacturing Industry, Detailed Project R...
Phenolic Formaldehyde Resin (PF) (Manufacturing Industry, Detailed Project R...Ajjay Kumar Gupta
 
Metallography and microscopy
Metallography and microscopyMetallography and microscopy
Metallography and microscopy9538769147
 
Types of extrusion dies
Types of extrusion diesTypes of extrusion dies
Types of extrusion diesHaider Abbas
 
Processing of plastics
Processing of plasticsProcessing of plastics
Processing of plasticsAMIT KUMAR
 
A Brief Outline about Plastic Bags Manufacturing Process
A Brief Outline about Plastic Bags Manufacturing ProcessA Brief Outline about Plastic Bags Manufacturing Process
A Brief Outline about Plastic Bags Manufacturing Processrbottoms85
 

La actualidad más candente (20)

Float glass manufacturing process
Float glass manufacturing processFloat glass manufacturing process
Float glass manufacturing process
 
Slip casting
Slip casting Slip casting
Slip casting
 
Metallurgy Casting
Metallurgy  CastingMetallurgy  Casting
Metallurgy Casting
 
Pretreatment of hot metal
Pretreatment of hot metalPretreatment of hot metal
Pretreatment of hot metal
 
Mould material & Alloy
Mould material & AlloyMould material & Alloy
Mould material & Alloy
 
Glass industry presentation
Glass industry presentationGlass industry presentation
Glass industry presentation
 
Presentation on glass manufacturing
Presentation on glass manufacturingPresentation on glass manufacturing
Presentation on glass manufacturing
 
Powder Metallurgy-Module III
Powder Metallurgy-Module IIIPowder Metallurgy-Module III
Powder Metallurgy-Module III
 
A Simple Digital Combination Lock ADVANCE DIGITAL DESIGN
A Simple Digital Combination Lock ADVANCE DIGITAL DESIGNA Simple Digital Combination Lock ADVANCE DIGITAL DESIGN
A Simple Digital Combination Lock ADVANCE DIGITAL DESIGN
 
Glass
Glass Glass
Glass
 
Phenolic Formaldehyde Resin (PF) (Manufacturing Industry, Detailed Project R...
Phenolic Formaldehyde Resin (PF)  (Manufacturing Industry, Detailed Project R...Phenolic Formaldehyde Resin (PF)  (Manufacturing Industry, Detailed Project R...
Phenolic Formaldehyde Resin (PF) (Manufacturing Industry, Detailed Project R...
 
Phase diagrams
Phase diagramsPhase diagrams
Phase diagrams
 
Sand reclimanation
Sand reclimanationSand reclimanation
Sand reclimanation
 
Metallography and microscopy
Metallography and microscopyMetallography and microscopy
Metallography and microscopy
 
Types of extrusion dies
Types of extrusion diesTypes of extrusion dies
Types of extrusion dies
 
Cold welding
Cold weldingCold welding
Cold welding
 
Silica sand and glass industry
Silica sand and glass industrySilica sand and glass industry
Silica sand and glass industry
 
Processing of plastics
Processing of plasticsProcessing of plastics
Processing of plastics
 
Monofilament process
Monofilament processMonofilament process
Monofilament process
 
A Brief Outline about Plastic Bags Manufacturing Process
A Brief Outline about Plastic Bags Manufacturing ProcessA Brief Outline about Plastic Bags Manufacturing Process
A Brief Outline about Plastic Bags Manufacturing Process
 

Destacado

Veterná, SoláRna, GeotermáLna Energia
Veterná, SoláRna, GeotermáLna EnergiaVeterná, SoláRna, GeotermáLna Energia
Veterná, SoláRna, GeotermáLna Energiaoikos Bratislava
 
Ellingham Diagram (Aftab Ahmed Laghari)
Ellingham Diagram (Aftab Ahmed Laghari)Ellingham Diagram (Aftab Ahmed Laghari)
Ellingham Diagram (Aftab Ahmed Laghari)Aftab Ahmed
 
Glass melting technology
Glass melting technologyGlass melting technology
Glass melting technologyLucky Goyal
 
Flat glass products & float manufacture2007
Flat glass products & float manufacture2007Flat glass products & float manufacture2007
Flat glass products & float manufacture2007rjmitson
 
Maintenance management in operations management
Maintenance management in operations managementMaintenance management in operations management
Maintenance management in operations managementShereen Shahana
 
Chemical reaction types_grade_10
Chemical reaction types_grade_10Chemical reaction types_grade_10
Chemical reaction types_grade_10suryacad
 
Refractories and its types www.chemicallibrary.blogspot.com
Refractories and its types www.chemicallibrary.blogspot.comRefractories and its types www.chemicallibrary.blogspot.com
Refractories and its types www.chemicallibrary.blogspot.comFARRUKH SHEHZAD
 
Separation Techniques Revision PDF
Separation Techniques Revision PDFSeparation Techniques Revision PDF
Separation Techniques Revision PDFmissing island
 
Hypersensitity, And Types of Hypersensitivity I, II, III, IV
Hypersensitity, And Types of Hypersensitivity I, II, III, IVHypersensitity, And Types of Hypersensitivity I, II, III, IV
Hypersensitity, And Types of Hypersensitivity I, II, III, IVPervez Ali
 
Guided Reading: Making the Most of It
Guided Reading: Making the Most of ItGuided Reading: Making the Most of It
Guided Reading: Making the Most of ItJennifer Jones
 

Destacado (15)

PGG Final Year Report
PGG Final Year ReportPGG Final Year Report
PGG Final Year Report
 
Veterná, SoláRna, GeotermáLna Energia
Veterná, SoláRna, GeotermáLna EnergiaVeterná, SoláRna, GeotermáLna Energia
Veterná, SoláRna, GeotermáLna Energia
 
Ellingham Diagram (Aftab Ahmed Laghari)
Ellingham Diagram (Aftab Ahmed Laghari)Ellingham Diagram (Aftab Ahmed Laghari)
Ellingham Diagram (Aftab Ahmed Laghari)
 
Ellingham diagram
Ellingham diagramEllingham diagram
Ellingham diagram
 
Glass ppt
Glass pptGlass ppt
Glass ppt
 
Glass melting technology
Glass melting technologyGlass melting technology
Glass melting technology
 
Nitrates
NitratesNitrates
Nitrates
 
Flat glass products & float manufacture2007
Flat glass products & float manufacture2007Flat glass products & float manufacture2007
Flat glass products & float manufacture2007
 
Maintenance management in operations management
Maintenance management in operations managementMaintenance management in operations management
Maintenance management in operations management
 
Chemical reaction types_grade_10
Chemical reaction types_grade_10Chemical reaction types_grade_10
Chemical reaction types_grade_10
 
Refractories and its types www.chemicallibrary.blogspot.com
Refractories and its types www.chemicallibrary.blogspot.comRefractories and its types www.chemicallibrary.blogspot.com
Refractories and its types www.chemicallibrary.blogspot.com
 
Glass
GlassGlass
Glass
 
Separation Techniques Revision PDF
Separation Techniques Revision PDFSeparation Techniques Revision PDF
Separation Techniques Revision PDF
 
Hypersensitity, And Types of Hypersensitivity I, II, III, IV
Hypersensitity, And Types of Hypersensitivity I, II, III, IVHypersensitity, And Types of Hypersensitivity I, II, III, IV
Hypersensitity, And Types of Hypersensitivity I, II, III, IV
 
Guided Reading: Making the Most of It
Guided Reading: Making the Most of ItGuided Reading: Making the Most of It
Guided Reading: Making the Most of It
 

Similar a Seeds

Thermal pretreatment of biomass/torrefaction - Jaap Kiel
Thermal pretreatment of biomass/torrefaction - Jaap KielThermal pretreatment of biomass/torrefaction - Jaap Kiel
Thermal pretreatment of biomass/torrefaction - Jaap KielEBAconference
 
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...Global CCS Institute
 
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...Global CCS Institute
 
Cement materials Characterization (2)
Cement materials Characterization  (2)Cement materials Characterization  (2)
Cement materials Characterization (2)Dr/Mohamed Abuelseoud
 
Computation of Theoretical Heat of Formation in a Kiln Using Fortran Language
Computation of Theoretical Heat of Formation in a Kiln Using Fortran LanguageComputation of Theoretical Heat of Formation in a Kiln Using Fortran Language
Computation of Theoretical Heat of Formation in a Kiln Using Fortran LanguageIOSR Journals
 
1 s2.0-s1474667016453371-main
1 s2.0-s1474667016453371-main1 s2.0-s1474667016453371-main
1 s2.0-s1474667016453371-mainMapVitco
 
Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...
Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...
Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...Compositi
 
Fluidized bed combustor
Fluidized bed combustorFluidized bed combustor
Fluidized bed combustorAkashRaj730308
 
Fluidized bed combustor
Fluidized bed combustorFluidized bed combustor
Fluidized bed combustorAkash Raj
 
Creating coke in a coal testing oven or pilot plant
Creating coke in a coal testing oven or pilot plantCreating coke in a coal testing oven or pilot plant
Creating coke in a coal testing oven or pilot plantmetrea
 
Nu energy - cokemaking technology for current challenges
Nu energy - cokemaking technology for current challengesNu energy - cokemaking technology for current challenges
Nu energy - cokemaking technology for current challengesJorge Madias
 
04-Hermes-Apresentacao-Tecnored.pt.en.pdf
04-Hermes-Apresentacao-Tecnored.pt.en.pdf04-Hermes-Apresentacao-Tecnored.pt.en.pdf
04-Hermes-Apresentacao-Tecnored.pt.en.pdfMaqeri1
 

Similar a Seeds (20)

Ph d thesis_samira_telschow.
Ph d thesis_samira_telschow.Ph d thesis_samira_telschow.
Ph d thesis_samira_telschow.
 
Thermal pretreatment of biomass/torrefaction - Jaap Kiel
Thermal pretreatment of biomass/torrefaction - Jaap KielThermal pretreatment of biomass/torrefaction - Jaap Kiel
Thermal pretreatment of biomass/torrefaction - Jaap Kiel
 
The Integration of Power Generation, Cement Manufacture, Biomass Utilisation ...
The Integration of Power Generation, Cement Manufacture, Biomass Utilisation ...The Integration of Power Generation, Cement Manufacture, Biomass Utilisation ...
The Integration of Power Generation, Cement Manufacture, Biomass Utilisation ...
 
Capture from Cement and UK Calcium Looping Research, Paul Fennell (Imperial C...
Capture from Cement and UK Calcium Looping Research, Paul Fennell (Imperial C...Capture from Cement and UK Calcium Looping Research, Paul Fennell (Imperial C...
Capture from Cement and UK Calcium Looping Research, Paul Fennell (Imperial C...
 
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...
 
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...Apec workshop 2 presentation 5 e apec workshop mexico   capture technologies ...
Apec workshop 2 presentation 5 e apec workshop mexico capture technologies ...
 
Cement materials Characterization (2)
Cement materials Characterization  (2)Cement materials Characterization  (2)
Cement materials Characterization (2)
 
Computation of Theoretical Heat of Formation in a Kiln Using Fortran Language
Computation of Theoretical Heat of Formation in a Kiln Using Fortran LanguageComputation of Theoretical Heat of Formation in a Kiln Using Fortran Language
Computation of Theoretical Heat of Formation in a Kiln Using Fortran Language
 
1 s2.0-s1474667016453371-main
1 s2.0-s1474667016453371-main1 s2.0-s1474667016453371-main
1 s2.0-s1474667016453371-main
 
Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...
Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...
Compositi e economia circolare – aggiornamenti attività europee e Tavolo di l...
 
Fluidized bed combustor
Fluidized bed combustorFluidized bed combustor
Fluidized bed combustor
 
Fluidized bed combustor
Fluidized bed combustorFluidized bed combustor
Fluidized bed combustor
 
1Malaysia Cabin
1Malaysia Cabin1Malaysia Cabin
1Malaysia Cabin
 
Creating coke in a coal testing oven or pilot plant
Creating coke in a coal testing oven or pilot plantCreating coke in a coal testing oven or pilot plant
Creating coke in a coal testing oven or pilot plant
 
Chandan me
Chandan meChandan me
Chandan me
 
BIO-CAP-UK: Air/Oxy Biomass Combustion with CO2 Capture Technology, UK Study ...
BIO-CAP-UK: Air/Oxy Biomass Combustion with CO2 Capture Technology, UK Study ...BIO-CAP-UK: Air/Oxy Biomass Combustion with CO2 Capture Technology, UK Study ...
BIO-CAP-UK: Air/Oxy Biomass Combustion with CO2 Capture Technology, UK Study ...
 
Nu energy - cokemaking technology for current challenges
Nu energy - cokemaking technology for current challengesNu energy - cokemaking technology for current challenges
Nu energy - cokemaking technology for current challenges
 
PPT_PMI- R2.pptx
PPT_PMI- R2.pptxPPT_PMI- R2.pptx
PPT_PMI- R2.pptx
 
04-Hermes-Apresentacao-Tecnored.pt.en.pdf
04-Hermes-Apresentacao-Tecnored.pt.en.pdf04-Hermes-Apresentacao-Tecnored.pt.en.pdf
04-Hermes-Apresentacao-Tecnored.pt.en.pdf
 
An Update on Gas CCS Project: Effective Adsorbents for Establishing Solids Lo...
An Update on Gas CCS Project: Effective Adsorbents for Establishing Solids Lo...An Update on Gas CCS Project: Effective Adsorbents for Establishing Solids Lo...
An Update on Gas CCS Project: Effective Adsorbents for Establishing Solids Lo...
 

Último

Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024Janet Corral
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 

Último (20)

Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
General AI for Medical Educators April 2024
General AI for Medical Educators April 2024General AI for Medical Educators April 2024
General AI for Medical Educators April 2024
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 

Seeds

  • 1. Chemical & Physical Processes in Glass Melting Quality of glass melting process Buchmayer Ruud Beerkens TNO Glass Group Eindhoven, The Netherlands Glass Service ICG – EFONGA Spring School Montpellier 4-5 May 2009 1
  • 2. Contents • Overview of processes essential for glass melting • Tools of analysis of industrial glass melting • Melting-in of Raw materials • Kinetics of Sand Dissolution • Removal of Gas bubbles & Dissolved gases • Evaporation processes • Homogenisation ICG – EFONGA Spring School Montpellier 4-5 May 2009 2
  • 3. ICG – EFONGA Spring School Montpellier 4-5 May 2009 3
  • 4. refractory corrosion evaporation: NaOH, KOH, NOx and HBO2, heat transfer water infiltration PbO, NaCl, HF, SO2 etc. flue gas chemistry melting kinetics foaming fining and redox refractory corrosion deposition and dust formation 1. Overview Chemistry & Physics of Glass Melting Processes emissions: Na2SO4, Na2B4O7 and PbO dust HCl, HF, SO2, SO3 , SeO2, HBO2, H3BO3 etc. ICG – EFONGA Spring School Montpellier 4-5 May 2009 4
  • 5. Side-effects • • • • Evaporation from melt Refractory corrosion Combustion & heating Emissions from evaporation & combustion Furnace Raw materials mixed Or Homogeneous molten glass Crucible Melting-in of batch – chemical reactions/endothermic effects Sand* grain dissolution Removal of bubbles/gases Dissolution of seed (fine bubbles) residue Homogenisation - Diffusion (slow) - Velocity gradients – stretching of inhomogeneities ICG – EFONGA Spring School Montpellier 4-5 May 2009 5
  • 6. Parameters for processes in melting Important parameters: • Heat transfer Temperature viscosity, surface tension, chemical activity, reaction kinetics, gas evolution.. • Flow characteristics – convection in melt, stirring • Residence time: time-temperature history • Exposure of melt to (reactive) atmosphere and refractory lining How to assess: Temperatures and flows in glass melt ? ICG – EFONGA Spring School Montpellier 4-5 May 2009 6
  • 7. 2. Tools: CFD Simulation Models Glass Furnaces • Discretize total volume of furnace in small volume cells (> 1 million) cells LxBxH: (1-10) x (1-10) x (1-10) cm – GRID / mesh • Input data process: pull, batch composition, fuel distribution, air number • Input furnace: – Design – Wall construction, including insulation • Input glass: viscosity, heat conductivity, density, thermal expansion, electric conductivity, solubility sand, solubility gases,… • For each volume cell in tank & combustion chamber – Energy conservation – Momentum conservation – Mass conservation (continuity) for melt and each chemical element – Respect electro-neutrality ICG – EFONGA Spring School Montpellier 4-5 May 2009 7
  • 8. CFD Simulation Models example: local conservation of energy ∂ (ρ c pT ∂t ) = − div (ρ c T v ) + div (λ r increase sensible heat p convection of heat grad T ) + q heat conduction local boosting or cooling Energy equation, conservation law for energy in each volume element ICG – EFONGA Spring School Montpellier 4-5 May 2009 8
  • 9. Results of CFD simulation models • Temperatures at all possible positions – Combustion space – Glass melt – Refractory • Glass melt and Combustion gas velocities • Trajectories (particle tracing) in tank – Thousands of different paths can be identified from charging end to throat or spout • Redox and dissolved gases – Redox state of melt at each position (pO2 or Fe2+/Fe3+) • Residence time distribution – Minimum residence time is of importance for melting process • Glass melt quality indices per trajectory – Trajectory with minimum melting or fining index is decisive for glass ICG – EFONGA Spring School Montpellier 4-5 May 2009 9
  • 10. Application of CFD models • For furnace design (lowest energy, highest glass quality) – – – – Optimum depth of tank Position bubblers or dam or burners Size and design of throat Design combustion chamber (LowNOx, less evaporation) • For optimum process settings – – – – Optimum fuel-boosting ratio Temperature profile (energy distribution) Bubbling rate Creation of distinct spring zone to avoid short cut • Time-transient (time dependent) for colour or pull change – Optimize colour change process: reduce transition time • Time-transient for process control (rMPC) – Sensors give model continuous new information: model tracking – Model continuously gives recommendation for input parameter changes to follow optimum process path (low energy, high glass quality, constant T) ICG – EFONGA Spring School Montpellier 4-5 May 2009 10
  • 11. Geometry & Grid for computational fluid dynamics (CFD) analysis of glass furnace Port Necks crown Burner port tank Deep Refiner Batch Boosting electrodes ICG – EFONGA Spring School Montpellier 4-5 May 2009 11
  • 12. Example result CFD computation Temperature contours ICG – EFONGA Spring School Montpellier 4-5 May 2009 12
  • 13. NOx End-port fired furnace horizontal cross section at level of burners Base case 4 inch higher crown ICG – EFONGA Spring School Montpellier 4-5 May 2009 13
  • 14. NOx End-port fired furnace vertical cross section at 25 % from furnace length from port NOx scaling in mole fraction Base case 4 inch higher crown Burner port Exit port (flue gas) Lower NOx-concentration in exit ICG – EFONGA Spring School Montpellier 4-5 May 2009 14
  • 15. Glass melt path with lowest ‘temperature‘ index canal Temperatur indexpath i e T = ∫ dt η doghouse Temperature course of glass (melt) in typical float glass furnace with minium temperature index 1800 1600 Temperature in oC 1400 1200 1000 800 600 400 200 0 0 2 4 6 8 10 12 14 Time in hours ICG – EFONGA Spring School Montpellier 4-5 May 2009 15
  • 16. Sensors (short overview) • Combustion gases • gas composition: • laser optics • electrochemical sensors (oxygen) • Glass melt • chemical composition • LIBS = laser induced breakdown spectroscopy emf • redox / colour parameters t/c • Potentiometry • Voltammetry Type B (mV) (mV) Alumina rod Pt / Ni-NiO // ZrO2 // pO2 (glass) / Pt EMF = RT pO 2 (glass) ⋅ ln nF pO 2 (ref.Ni/NiO) Pt measuring electrode ICG – EFONGA Spring School Montpellier 4-5 May 2009 Zirconia cell Ni/NiOreference mix 16
  • 17. 3. Melting-in of batch • In glass furnaces (industrial) – Kinetics determined by heat transfer through batch blanket • In small crucibles: – Kinetics determined by contact between different batch constituents and temperature ICG – EFONGA Spring School Montpellier 4-5 May 2009 17
  • 18. Return flow for batch heating Generation blisters from refractory Day hopper Refining Bubble absorption Hot spot & evaporation Conditioning of melt Thermal homogeneity Zone for sand grain dissolution Batch melting • 40-60 minutes • 80-90 % of net heat flux Spring zone & primary fining Return flow from working end ICG – EFONGA Spring School Montpellier 4-5 May 2009 18
  • 19. Scheme of melting process of batch blanket, charging velocity vg (m/s) combustion space heat transfer gas release thickness temperature profile reaction zone figure 1b glass melt layer normal batch Zipfel glass level reaction zone glassmelt flow heat transferred figure 1c ICG – EFONGA Spring School Montpellier 4-5 May 2009 19
  • 20. Detailed re-presentation of the batch melting process in glass furnace 1500 o C Layer glassmelt melts Dissolution sand grains loose batch sand grains gas melting reactions batch melting reactions carbonates (soda/lime) gas dissolution sand grains sand grains b. top of batch blanket glass melt 1400 c. o C bottom side of batch blanket ICG – EFONGA Spring School Montpellier 4-5 May 2009 20
  • 21. Example: Melting reactions of soda lime (dolomite) silica batch • De-hydratation (100 oC physical bonded water & > 100 oC hydrates) – Important for energy consumption: water evaporation is energy intensive • Solid state reactions, formation of silicates, e.g.: Carbonate route < 900 oC at fast heating rate (melts at ±820 oC) High amount of heat required (550-850 oC) Na2CO3 + CaCO3 Na2Ca(CO3)2 Na2Ca(CO3)2 +2SiO2 Na2SiO3/CaSiO3 + 2CO2↑ reaction enhances > 820 oC Na2CO3 + 2SiO2 Na2SiO3 + CO2↑ (790-850 oC) • Formation of primary melt phases (alkali rich carbonates), e.g.: Tm Na2CO3 Tm Na2Ca(CO3)2 Tm K2CO3 = 850 oC = 820 oC = 890 oC ICG – EFONGA Spring School Montpellier 4-5 May 2009 21
  • 22. Melting reactions of soda lime silica batch limited kinetics may shift some reactions to higher temperatures • Decomposition reactions of (Ca- and Mg-) carbonates: heat required CaCO3 + heat CaO + CO2↑ MgCO3 + heat MgO + CO2↑ MgCO3·CaCO3 + heat MgO + CaCO3 + CO2↑ (910 oC at pressure 1 bar) (540 oC at pressure of 1 bar) (650 oC, 1 bar) MgO still present up to 1150 oC. • Dissolution reactions of SiO2, e.g. (coarse limestone) Na2O·2SiO2 + CO2↑ T > 790 oC forms with SiO2 an eutectic melt Or at further heating fast Na2O·SiO2 formation (850 oC) – limestone decomposes and: 2CaO + (SiO2 + Na2O·2SiO2 )eutectic melt Na2O·2CaO·3SiO2 (> 900 oC) Reactive calcination: Na2CO3 + 2SiO2 Silicate route: Silicate melt + SiO2 silica enriched melt T > 1000-1100 oC Eutectic melt phases are formed above ±800-840 oC ICG – EFONGA Spring School Montpellier 4-5 May 2009 22
  • 23. Phase diagram for the system Na2O – SiO2 showing eutectic sodium silicate melt phases 100 % SiO2 ICG – EFONGA Spring School Montpellier 4-5 May 2009 23
  • 24. Scheme of melting reactions of soda lime glass batch 1080 oC: T s Na2SiO 3 910 oC : CaCO 3 CaO + CO 2 (gas) o 850 C : T s Na2CO 3 820 oC : T s Na2Ca(CO 3)2 790 oC : T eut Na 2O.2SiO 2 + SiO 2 740 oC : T eut Na 2Ca(CO 3)2 + Na2CO 3 650 oC : MgCO 3.CaCO 3 MgO+CaCO 3+CO 2 (gas) 540 oC : MgCO 3 -> MgO + CO 2 (gas) Dissolution of SiO 2, CaO, MgO, Al2O 3 e.d. in melt phases primary melts decomposition carbonates solid state reactions volatilisation of water 0 200 400 600 800 1000 temperature in oC 1200 ICG – EFONGA Spring School Montpellier 4-5 May 2009 1400 24
  • 25. Overall chemical energy demand -1 CaCO3(s) -> CaO(s) + CO2(g) Chemical energy consumption rate [kJ·kgbatch ·K ] MgCO3·CaCO3(s) -> MgO(s) + CO2(g) + CaCO3(s) -1 10 8 Na2CO3(s) + SiO2(q) -> Na2O·SiO2(s) + CO2(g) Na2CO3(s) -> Na2CO3(l) 6 Na2CO3(l) + SiO2(q) -> Na2O·SiO2(s) + CO2(g) Na2O·SiO2(s) + SiO2(q) -> NS(l) CaO(s) + melt 4 2 0 600 650 700 750 800 850 900 950 1000 -2 Temperature [°C] Chemical enthalpy of batch reactions for float glass from soda-sand-dolomite and limestone (positive: endothermic effects) ICG – EFONGA Spring School Montpellier 4-5 May 2009 25
  • 26. 4. Dissolution of ‘refractory’ type raw material in silicate melt example: sand grains ICG – EFONGA Spring School Montpellier 4-5 May 2009 26
  • 27. Sand grain Glass melt CSiO2 Ce(T) = saturation level SiO2 in melt 100 Cb Ce (T) Cb = bulk SiO2 level in melt (depends on amount dissolved sand) Moving boundary Diffusion of SiO2 in melt ICG – EFONGA Spring School Montpellier 4-5 May 2009 27
  • 28. Dissolution front One-dimensional dissolution in multi-component liquid Mass fraction SiO2 in saturated melt: we Multi-component liquid Dissolving material w is mass fraction SiO2 in melt a x dissolution we  ∂w     ∂x  a w ρ SiO2  ∂w  ρe ⋅   da  ∂x  a ⋅ = − D⋅ dt (1 − VA ⋅ ρ e ⋅ w e ) ICG – EFONGA Spring School Montpellier 4-5 May 2009 28
  • 29. Mathematical description (Ready & Cooper 1966) - Spherical symmetry – diffusion in 3 dimensions Assuming constant diffusion coefficient in melt Ideal solution, partial molar volume of SiO2 in melt is constant Convection (term u) due to change of partial molar volume of SiO2 in sand versus in melt Moving boundary: dissolving sand is partly staying in volume it came from Mass flux (j) of dissolved SiO2 J D r R t ρ C u = mass flux of SiO2 = diffusion coefficient of SiO2 in silicate melt (m2/s) = radial co-ordinate (distance from sand grain centre) (m) = radius sand grain (m) = time (s) = density of melt (kg/m3) = local SiO2 mass concentration (kg/m3) = mass average velocity radial direction due to expansion by dissolution (change in molar volume) (m/s) ICG – EFONGA Spring School Montpellier 4-5 May 2009 29
  • 30. Solution dissolution sand grain without forced convection Effect of moving boundary a = actual grain size radius (m) VA = partial specific volume of SiO2 in molten glass (m3/kg) Cs = density of sand grain (kg/m3) Ca = mass concentration SiO2 in saturated melt (kg/m3) ICG – EFONGA Spring School Montpellier 4-5 May 2009 30
  • 31. Sand grain dissolution with convection by glass melt velocity gradients & density differences ρ SiO2 h we ws VA a t ρs ρSiO2 D da ⋅ = − h ⋅ (w e ρ e − w sρ s ) /(1 − VA ⋅ w e ⋅ ρ e ) dt = mass transfer coefficient SiO2 into melt (m/s) = mass fraction SiO2 in saturated melt (depends on T, and glass) (kg/m3) = mass fraction SiO2 in bulk melt (depends on dissolved sand)) (kg/m3) = partial specific volume of SiO2 in molten glass (m3/kg) = actual radius sand grain (m) = time (s) = density of melt (kg/m3) = density sand grain (kg/m3) = diffusion coefficient of SiO2 in silicate melt (m2/s) ICG – EFONGA Spring School Montpellier 4-5 May 2009 31
  • 32. Mass transfer coefficient     Sh 1 1  h= ⋅D ⋅  + R  2 Sh ⋅D ⋅ t  π⋅  2   h = D = mass transfer coefficient (m/s) diffusion coefficient of SiO2 in the molten glass, based on concentration profiles given in mass fraction (D in m2/s) R = grain radius (m), t time (s), = Sh = Sherwood number for mass transfer from spherical grain, ≈ 2 + 0.89 {Re · Sc + (Gr · Sc)3/4}1/3 * = 2 (no convection) = f (R2/3 , D-1/3, (grad v)1/3) (convection flow of the glass melt) = f (R3/4 , h-1/4 , D-1/4) (free convection of surrounding melt relative to the sand grain: v = flow velocity of the melt relative to the sand grain (m/s), η = viscosity (Pa.s) ICG – EFONGA Spring School Montpellier 4-5 May 2009 32
  • 33. 30000 no convection Dissoltion time in s 25000 20000 v-gradient 15000 -1 0.001 s 10000 v-gradient 5000 0.025 s 0 1350 -1 1450 1550 1650 1750 1850 T in K Dissolution time required for complete dissolution of sand grains in almost static and stirred soda-lime silica glass melts (forced convection with velocity gradient grad v) at different temperatures. Initial size Ao=100 mm. ICG – EFONGA Spring School Montpellier 4-5 May 2009 33
  • 34. Dissolution of sand and alumina grains in static and convective sodalime-silica glass melt at 1700 K, moving boundary effect taken into account (not on concentration profiles) 1.20E-04 1.00E-04 sand, grad v=0 sand, grad v= 0 steady state sand, -1 grad v=0.001 s radius in m 8.00E-05 sand, -1 grad v=0.01 s 6.00E-05 alumina, -1 grad v=0.01 s 4.00E-05 alumina, -1 grad v=0.001 s sand, steady state -1 grad v=0.001 s 2.00E-05 0.00E+00 0 5000 10000 15000 20000 alumina, grad v = 0 25000 30000 35000 time [s] ICG – EFONGA Spring School Montpellier 4-5 May 2009 34
  • 35. 5. Fining Processes ICG – EFONGA Spring School Montpellier 4-5 May 2009 35
  • 36. Seeds after batch melting Coarse sand Seeds after batch melting Fine sand ICG – EFONGA Spring School Montpellier 4-5 May 2009 36
  • 37. 10 mm Glass just after batch melting - sample thickness ± 5 mm ICG – EFONGA Spring School Montpellier 4-5 May 2009 37
  • 38. 0 to ICG – EFONGA Spring School Montpellier 4-5 May 2009 8 mm 38
  • 39. Bubbles & Seeds just after melting • Many small seeds and bubbles (Blisters) in glass melt combustion space (Mulfinger 1976 GTB) heat transfer gas release – More than 100.000 per kg glass melt thickness reaction zone figure 1b glass melt layer temperature profile glass level normal batch – Most bubble diameters: 0.05 -0.4 mm reaction zone glassmelt flow • heat transferred figure 1c In most glass melts (using carbonates): – bubbles in batch melting area: contain often mainly CO2 • Large concentrations dissolved CO2 in melt • During sand grain dissolution in melt: generation of fine CO2 seeds (Gispen) from Glass Service ICG – EFONGA Spring School Montpellier 4-5 May 2009 39
  • 40. Fining Objective of Fining: Removal of bubbles and dissolved gases from the glass melt Rising velocity of bubble: v ascension ρ = Density of the glass melt [kg/m3] η = Viscosity of the melt [Pa·s] R = Bubble radius [m] g = Acceleration of gravity [m/s2] c = c ⋅ ρ ⋅ g ⋅R = η 2 Factor (e.g. Stokes c = 2/9) ICG – EFONGA Spring School Montpellier 4-5 May 2009 40
  • 41. Time to reach glass level at 1 meter [h] Fining Time to reach glass surface (1 meter) 250 1400 OC 200 1450 OC 1350 OC 150 100 1500 OC 50 0 0 100 200 300 400 500 Bubble diameter [µm] ICG – EFONGA Spring School Montpellier 4-5 May 2009 41
  • 42. III. Fining gases and other dissolved gases diffuse strongly into bubble II. start of fining: gases diffuse into bubble I. static bubble Reaction in melt: release of fining gases Pgases melt > pt (pt is pressure in bubble) ICG – EFONGA Spring School Montpellier 4-5 May 2009 42
  • 43. Two fining steps • First step: primary fining – High temperatures – Bubble agglomeration and bubble size growth – Dissolved gases diffuse from melt in to bubbles (like bubbles in soda drinks) – Ascension to glass melt surface • Second step: Secondary fining/Refining (secondary fining) – Dissolution of (small) remaining bubbles • Only effective if bubble contains gases (CO2, O2, SO2+O2) that dissolve in cooling melts • Glass melt should be lean in dissolved gases ICG – EFONGA Spring School Montpellier 4-5 May 2009 43
  • 44. Mechanism sulfate primary fining Fining process in glass melt pSO2 · pO21/2 ·aNa2O K= pSO2· pO21/2 K’ = aNa2SO4 [SO3] Increasing temperatures lead to increasing K-values → extra oxygen gas & SO2 gas release: - oxygen & SO2 molecules diffuse into growing bubbles - bubble ascension increases (vascension~R2) - sulfate retention decreases ICG – EFONGA Spring School Montpellier 4-5 May 2009 44
  • 45. Fining (primary) – Fining agents added to the batch to enhance the rising velocity of bubbles – Often used fining agent: Sodium sulphate Fining reaction: T > TFining onset Na2SO4 ⇔ Na2O + SO2 (gas) +1/2 O2 (gas) Cm CO2 pSO2 ⋅ pO2 K = [SO3 ] ' CO2 Stripping of CO2 and N2 from melt Cm N2 SO2 O2 N2 Dilution of N2 & CO2 in bubble by fining gases ICG – EFONGA Spring School Montpellier 4-5 May 2009 45
  • 46. Multicomponent diffusion of gases in bubbles     d Shi Di 1 1  ⋅ ⋅ Rg ⋅ T ⋅ (Csi − Cii) ⋅  + (4πR3 ⋅ pt ) /(3Rg ⋅ T) = 4πR2 ⋅ Σi R  dt 2 pt Shi ⋅ Di ⋅ t  π⋅  2   [ ] Shi = 1+ (1+ 2·v·R/Di )1/3 ICG – EFONGA Spring School Montpellier 4-5 May 2009 46
  • 47. Fining/Refining: degassing & removal of bubbles • Mostly applied fining agents in glass industry: Na2SO4 & Sb2O5 – Na2SO4 (m) → SO2 (g) + 0.5 O2 (g) + Na2O (m) – Sb2O5 (m) → Sb2O3 (m) + O2 (g) • Na2SO4 added in concentrations 0.1 – 1 wt. % to batches of: – Soda lime glass for container, float and tableware – E-borosilicate glass for fibres • Na2SO4 partly decomposes during batch melting & releasing SO2 in early melting stages • Dissociation temperature of Na2SO4 in melt: – Between 1350 – 1480 ºC, depending on redox state – Between 1100-1350 oC (reduced batches) Na2SO4+Na2S reactions forming SO2 and or S2 gas. ICG – EFONGA Spring School Montpellier 4-5 May 2009 47
  • 48. Fe2+/Fetotal Sulfur retention (wt.%SO3) 0.6 0.5 80 70 60 Sulfur only in Sulfur in form of S2form of SO42-, S2- 40 25 15 % Sulfur only in form of SO42- (probably also SO32-?) 0.4 0.3 1400 oC 0.2 0.1 1500 oC 0.0 -8 -7 -30 -6 -5 -4 -3 Log pO2 in the melt at 1400°C (bar) -20 -10 0 +10 -2 -1 +20 redox number ICG – EFONGA Spring School Montpellier 4-5 May 2009 48
  • 49. Mass Spectrometer Synthetic gas 30 mm ICG – EFONGA Spring School Montpellier 4-5 May 2009 49
  • 50. High temperature test facility ICG – EFONGA Spring School Montpellier 4-5 May 2009 50
  • 51. Fining/Refining: degassing & removal of bubbles 1. Primary fining – Removal of bubbles by rising of bubbles to melt surface – Bubble growth under influence of fining agents – Stripping of dissolved gases by growing of gas bubbles (dilution) Fining ICG – EFONGA Spring School Montpellier 4-5 May 2009 51
  • 52. Enhanced Sulfate Fining by Dissolved Water in Melt O2 N2 CO2 O2 H2O H2O Oxy-case SO2 SO2 O2 N2 CO2 O2 SO2 H2O Air case SO2 In oxygen-fired glass furnace: peH2O = 0.25-0.40 bar Fining only if: peSO2 + peO2 > 0.70 - 0.75 bar In air-fired furnace: peH2O = 0.10-0.15 bar Fining only if : peSO2 + peO2 > 0.9 bar ICG – EFONGA Spring School Montpellier 4-5 May 2009 52
  • 53. Evolution of fining gas: water lean & rich melts 50 water vapor pressure 40 0 bar 30 0.20 bar 20 0.60 bar 3 m /batch Volume of gas in Gas evolution during sulfate fining of soda lime glass melt - effect of water vapor level 60 10 0 1300 1400 1500 1600 o Temperature in C ICG – EFONGA Spring School Montpellier 4-5 May 2009 53
  • 54. Stripping of dissolved gases from melt ICG – EFONGA Spring School Montpellier 4-5 May 2009 54
  • 55. Pressure in melt before and during fining & cooling Total internal pressure in melt bar [S]initial= 0.3 mass% SO3 300 mgr water/kg [Fe2+]/ [Fetotal] = 20 % 1.2 1.0 0.8 0.6 0.4 0.2 0.0 1200 1300 1400 1500 1600 o Temperature in C ICG – EFONGA Spring School Montpellier 4-5 May 2009 55
  • 56. Partial pressure in float glass melt during heating Partial pressure in float glass melt in bar [S]initial = 0.3 mass% SO3 300 mgr water/kg [Fe2+]/ [Fetotal] = 20 % 1.E+00 SO2 1.E-01 H2 O 1.E-02 O2 1.E-03 CO2 1.E-04 N2 1.E-05 1250 1350 1450 1550 o Temperature in C ICG – EFONGA Spring School Montpellier 4-5 May 2009 56
  • 57. O2 fining gas CO2 mol/m3 mol/m3 Modeling dissolved gas distribution in glass melt tank ICG – EFONGA Spring School Montpellier 4-5 May 2009 57
  • 58. Fining/Refining: degassing & removal of bubbles 2. Secondary fining (refining) – Re-absorption of residual gases during controlled cooling • Chemical solubility SO2 and O2 increases with decreasing temperature: gases will be re-absorbed during cooling. • Physical solubility of dissolved gases increases slightly with decreasing temperature: these gases will also be reabsorbed during cooling Refining ICG – EFONGA Spring School Montpellier 4-5 May 2009 58
  • 59. Fining at low pressure - Same amount of gas needs large volume - Low partial pressures in bubble will stimulate gas diffusion from melt into bubble ICG – EFONGA Spring School Montpellier 4-5 May 2009 59
  • 60. 6. Evaporation processes ICG – EFONGA Spring School Montpellier 4-5 May 2009 60
  • 61. Multi-component glasses • Different oxides • Oxides in glass with high chemical activity or vapour pressure: – React at glass melt surface with combustion gases – Evaporate from glass melt surface – Show depletion at surface layer INCONGRUENT EVAPORATION ICG – EFONGA Spring School Montpellier 4-5 May 2009 61
  • 62. Evaporation mechanisms • Direct evaporation of volatile glass components from the surface of the melt, e.g. volatilization of PbO from lead crystal melts; • Evaporation of components by reactions in the melt itself, forming volatile compounds; generally such volatile compounds exhibit high activity coefficients and weak bonding with other glass melt species. – • An example: formation of alkali borates in alkali borosilicate melts, subsequently evaporation of alkali meta-borates/tetra-borates takes place, Na2O(melt) + B2O3 (melt) ⇔ 2NaBO2 (melt) ⇒ 2 NaBO2 (vapor) Evaporation by reactions of certain glass melt components with gas species at the surface of the melt. The evaporation rate & vapor pressure depends on the composition of the gas atmosphere above the melt. B2O3 (glass melt) + H2O ⇒ 2HBO2 (vapor) Na2O (glass melt) + H2O (gas) ⇒ 2NaOH (vapor) Na2O(glass melt) + CO (gas) ⇒ 2Na (vapor) + CO2 ICG – EFONGA Spring School Montpellier 4-5 May 2009 62
  • 63. Kinetics of evaporation The volatilization rate is often determined by: • mass transport of the relevant species from the melt interior (bulk) to the surface; • the vapor pressures of the volatile components at the surface of the melt, dependent on the glass composition, temperature and gas atmosphere; • the mass transfer of evaporated species from the surface of the melt into the main gas stream above the melt. ICG – EFONGA Spring School Montpellier 4-5 May 2009 63
  • 64. Reactive evaporation For reactive evaporation of a component j in the melt reacting with a gas k and forming gaseous species i with saturation pressure pi*, according to reaction: n·j (melt) + m·k (gas) Reaction equilibrium: pi*q q·i (gas) = K · ajn · pkm The values of K (equilibrium constant, assuming chemical equilibrium at the glass melt surface) and aj (activity of component j in the molten glass at the surface) can be determined experimentally or by thermodynamic modeling ICG – EFONGA Spring School Montpellier 4-5 May 2009 64
  • 65. Static melt and static atmosphere above the melt (interface x = 0) Diffusion in melt of reacting glass melt component j: dCj/dt = Dm,j·δCj2/δx2 Time dependency: Cjsurface(t). Dm,j is the inter-diffusion coefficient of the volatile component j in the melt. at t = 0 at t > 0 at t > 0 -∞ < x < 0 x −∞ x =0 Cj = Cjbulk Cj = Cjbulk Cj = Cjsurface(t) For the vapor i in a static gas phase with partial vapor pressure pi, the diffusion process in the gas phase can be described in a similar way: δ(pi/RgT)/δt = Dg,i ·δ2(pi/RgT) /δx2 Dg,i is the diffusion coefficient of the vapor I in the gas phase. at t = 0 at t > 0 at t > 0 0<x<∞ x ∞ x =0 pi = pi,gasbulk pi = pigasbulk pi = pi*(t) ICG – EFONGA Spring School Montpellier 4-5 May 2009 65
  • 66. -3 Na2 O concentration [mol.m ] 4970 4968 4966 4964 4962 5 sec. 4960 50 sec. 250 sec. 4958 4956 DNa2O=3.3 10-11 m 2.s -1 4954 0 0.01 0.02 0.03 0.04 0.05 0.06 distance from surface [mm] Calculated time dependent- Na2O concentration profiles in static melt Situation: static conditions in semi-infinite gas phase with 0.55 bar vapor pressure and semi-infinite soda-lime-silica melt (13 wt% Na2O, 10 wt% CaO, 5 wt% MgO, 72 wt% SiO2). Dg,NaOH = 2.7 10-4 m2·s-1 , Dm,Na2O = 3.3 10-11 m2·s-1 ICG – EFONGA Spring School Montpellier 4-5 May 2009 66
  • 67. Evaporation in gas flow above molten glass pb,i main gas stream velocity, vg diffusion of gas i in gas boundary layer, Dgi surface reaction: n·j (melt)+ m·k (gas) ⇒ q·i (gas) p*i glass melt surface C j-profile Example: Na2O (m) + H2O(g) ⇔ 2NaOH (g) Transport of component j in the melt, Dm,j ICG – EFONGA Spring School Montpellier 4-5 May 2009 67
  • 68. Evaporation in gas flow Average evaporation rate (over length Lg of gas flow above melt ) of component i (formed by reaction of glass compound j) into (turbulent) gas phase: Qm,j =(ni/qi)·A·vg0.8·ρg0.47·µgas-0.47·Dg0.667·Lg-0.2· Rg-1·T-1·B·Cj,x=0(t) The proportionality parameter B depends on the furnace atmosphere composition and the chemical activity of the volatile component in the melt. For NaOH-evaporation, the B value depends on the water vapor pressure in the furnace atmosphere, B ∼ pH2O0.5 ICG – EFONGA Spring School Montpellier 4-5 May 2009 68
  • 69. Mass transfer equations Average evaporation rate (rate of loss of glass component j) over length Lg from leading edge: Qm,j = -Dm,j·(δCj/δx)x=0 = α·Cj,x=0(t) α = (ni/qi) · A· vg0.8·ρg 0.47·µgas-0.47·Dg0.667·Lg-0.2· Rg-1·T-1· B Turbulent flow of gas v = velocity, g refers to gas phase, Rg is universal gas constant, T in K, B ratio between vapour pressure i and surface concentration component j A = between 0.03 and 0.04 for turbulent gas flow (Re > 300000 or for disturbed flows) ICG – EFONGA Spring School Montpellier 4-5 May 2009 69
  • 70. Solution in flowing gas and static melt For kd defined as α/DmNa2O the solution for a single component j Evaporating from a static melt in flowing gas phase Assuming complete depletion at surface for t ∞ MQm.j is the total evaporation mass loss per unit surface area between time 0 and τ MQm.j = (Cj,0/kd)·{exp(kd2·DmNa2O·τ)·erfc[kd·(DmNa2O·τ)0.5] -1 + 2kd·(DmNa2O·τ/π)0.5} Cj,x=0(t) = Cj,0· exp(kd2·DmNa2O·τ)·erfc[kd·(DmNa2O·τ)0.5] Cj,0 = bulk concentration compound j at t=0 ICG – EFONGA Spring School Montpellier 4-5 May 2009 70
  • 71. 5000 -3 melt [mol.m ] Na2O concentration in 5500 4500 stagnant gas 4000 Lg= 2 m, v= 2 m.s-1 Lg= 2 m, v = 5 m.s-1 3500 Lg= 0.5 m, v= 2 m.s-1 3000 0 0.5 1 1.5 2 2.5 distance from surface [mm] Local concentration profile in soda-lime silica melt after 7200 seconds exposure time, calculated for NaOH-evaporation from static melt in static or flowing gas phases, (Lg= downstream distance from leading edge ). Temperature = 1500 oC, pH2O = 0.55 bar. Dm,Na2O = 3.3 10-11 m2·s-1 Glass composition (mass %): SiO2 =72, Na2O =13, MgO = 5, CaO = 10 ICG – EFONGA Spring School Montpellier 4-5 May 2009 71
  • 72. parameter is temperature: 5000 1723K 1773 K 1823 K 4000 -3 [mol.m ] Na2O-surface concentration 6000 1873 K 3000 2000 1000 0 0 5000 10000 15000 20000 time [s] 25000 30000 Change in Na2O-surface concentration soda-lime-silica melt at different temperatures in flowing gas (5 ms-1), 1 meters downstream. pH2O in gas = 0.55 bar & Na2O in glass = 13 mass%. Dm,Na2O= 8 10-10 exp(-5655/T) in upper graph ICG – EFONGA Spring School Montpellier 4-5 May 2009 72
  • 73. Experimental – Set up to study (reactive) evaporation from molten glass Thermocouples Platinum funnel Porous plate Gases IN: Platinu m gas samplin g probe Platinum coating (30 cm) Platinum boat N2, H2O, O2 melt ICG – EFONGA Spring School Montpellier 4-5 May 2009 73
  • 74. Mass transfer in gas phase during transpiration – evaporation test Shtranspiration 0 .5   2   1 .5 =  C1 + C 2 ⋅ Re d ⋅ Sc +   ⋅ C3 ⋅ (Re d ⋅ Sc )     1 + 22 ⋅ Sc    h g ,i = Q g ,i = Vessel with liquid of melt 1 3 Shtranspiration ⋅ D g ,i d hg ,i R ⋅T ( ⋅ pi (t ) * − pi bulk ) 2.5E-03 x=0 pi*(t) (e.g. p*NaOH or p*NaBO2) can be derived from evaporation (transpiration experiments) From measured Qg,i and Sherwood relations derived with model liquids Water evaporation rate QH2O (moles s -1 m-2) 2.0E-03 1.5E-03 Measurerments 1.0E-03 CFD model Empirical equation (2.19) 5.0E-04 0.0E+00 0 100 200 Reynolds number Re (-) ICG – EFONGA Spring School Montpellier 4-5 May 2009 300 400 74
  • 75. 1.E-06 Modeled aNa2O (-) SiO2:Na2O:CaO = 74:16:10 mol 1.E-07 Na2O.2SiO2 y = 0.9823x R2 = 0.9283 1.E-08 1.E-09 1.E-09 1.E-08 1.E-07 1.E-06 Measured aNa2O (-) Na2O activity at glass melt surface determined by transpiration test measuring p*NaOH: Na2O + H2O 2 NaOH ICG – EFONGA Spring School Montpellier 4-5 May 2009 75
  • 76. Derivation chemical activity of volatile glass component at surface of melt K = exp(-∆G/RT) = p*NaOH2/aNa2O.pH2O From thermodynamic tables: ∆G = GfNa2O+GfH2O- 2GfNaOH(g) p*NaOH is measured from QNaOH and pH2O is controlled aNa2O (surface) can be determined K is calculated by standard Gibbs free energy values of products & reactants of reaction ICG – EFONGA Spring School Montpellier 4-5 May 2009 76
  • 77. Non static melt & non static gas phase free convection by density gradients Gas flow Low Na2O Mid Na2O High Na2O Float glass melt with Na2O concentration differences ICG – EFONGA Spring School Montpellier 4-5 May 2009 77
  • 78. 6. Homogeneity of glass Micro-mixing: transfer from high to low chemical activity by diffusion Cm - π 2 . D.t = A exp Co Lo 2 Macro-mixing: elongation of in-homogeneities exposed to velocity gradient in melt C(x,t) dC d 2C = D⋅ 2 dt dx t=0 Cm (t) Slow diffusion processes t = t1 t = t2 Co Lo ICG – EFONGA Spring School Montpellier 4-5 May 2009 78
  • 79. Macro-mixing Reduction of diffusion distance, Lo velocity v + dv velocity v y In the case, t dv/dy >> 1: L= L0 dv ⋅ t dy For macro-mixing in combination with diffusion (by approximation): Cm π 2 . D . t 3 .( dv / dy ) 2 = A .exp − Co L2 0 A = proportionality factor dependent on the shape of the cord ICG – EFONGA Spring School Montpellier 4-5 May 2009 79
  • 80. Macro versus only Micro mixing • Small velocity gradients (> 0.01 m/s per m) enhance homogenisation process with factor 20 to 100 • Velocity gradients by: – Stirring – Bubbling – Temperature gradients free convection ICG – EFONGA Spring School Montpellier 4-5 May 2009 80
  • 81. Thank you for your attention What does a number tell us without the proper unit? ICG – EFONGA Spring School Montpellier 4-5 May 2009 81