Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai...

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Simulation of sintering of iron ore pac Simulation of sintering of iron ore pac bed with variable porosity bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials Tohoku University Japan Phoenics User Conference Melbourne,2004

Transcript of Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai...

Page 1: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Simulation of sintering of iron ore packed Simulation of sintering of iron ore packed bed with variable porositybed with variable porosity

S. V. Komarov and E. Kasai

Institute of Multidisciplinary Research for Advanced Materials

Tohoku UniversityJapan

Phoenics User ConferenceMelbourne,2004

Page 2: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Flowchart of steel productionFlowchart of steel production

Page 3: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Sintering process conceptSintering process concept

region of interest

Page 4: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

A schematic representation of sintering processA schematic representation of sintering process

Sintered part

Heat wave

Initial materials:1.Blend ore2.Coke3.Limestone

Preheated air

Exhaust gas: N2,O2,CO2

Page 5: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Principle of big pellet agingPrinciple of big pellet agingInduction bed

for combustion/sintering

Large pelletsfor aging

Page 6: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Objective of this studyObjective of this study

Development of a Phoenics-code based model which could predict influences of such parameter as - void fraction- pellet size-initial temperature and flow rate of gas-coke and limestone content-ignition time on heat propagation over induction bed to large pellets

Why simulation ?Why simulation ?

There are many parameters involved,which determine the system behavior. An experimental investigation would be too hard and costly.

Why Phoenics ?Why Phoenics ?Many thanks to friendly and highly skilled support team in Tokyo

Page 7: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Computational domain and its physical prototypeComputational domain and its physical prototype

z

r

O A

B CExhaust gas outlet

Air inlet

Wal

l

Axi

s

Spherical Spherical pellet:pellet:- 0= 0.25-R = 2.5 cm-dp=0.5 mm-Fe2O3

4.0 cm

8.0

cm

Preheated air

Inductionbed :-0=0.4~0.9-dp=2 mm-Fe2O3,C CaCO3

Packed bed  

Page 8: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

The sintering process chemistryThe sintering process chemistry

1. CaCO3=CaO+CO2 Q2 = –1.61106 J/kg

2. C+O2=CO2 Q1= 3.28107 J/kg

3. CaO+Fe2O3=(CaO·Fe2O3) Q3= –1.37106 J/kg

4. (CaO·Fe2O3)=CaFe2O4 Q4=5.07105 J/kg

Hematite (Fe2O3) – 0.82Carbon(C) – 0.03Limestone (CaCO3) – 0.15

Preheated airHematite (Fe2O3) – 1.0

Page 9: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

The process related physical phenomenaThe process related physical phenomena

1.Momentum transfer

2.Two phase heat transfer - convection (gas) - diffusion (gas,solid) - radiation (interparticle space) - heat exchange (gas-solid interface) - heat generation (C combustion) - heat absorption (CaCO3 decomposition, CaO•Fe2O3 melting)

3. Mass transfer (only gas phase) - convection (O2,N2,CO2) - diffusion (O2,N2,CO2) - gas sourcing (CO2) and sinking (O2)

Preheated air

Page 10: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

ovcpOgc kAYr ,2

Kinetics of graphite combustionKinetics of graphite combustion

Diffusional control

Kinetic control

r

YO2

T

dc

C+O2= CO2

cc

cp Yd

A)1(6

,

mr

ov

kk

k11

1

s

asr RT

ETkk exp5.0

0

c

Om d

DShk 2

combustion rate

specific area

overall rate coefficient

chemical reaction rate coefficient

mass transfer rate coefficient

k0=6.532105 (m/s•K0.5)Ea= 1.839105 (J/mol•K)

Page 11: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Sherwood and Nusselt numbersSherwood and Nusselt numbers for sphere for sphere

32

Re Sc

Sh

31

2

21

2

6.00.2

O

g

g

c

O

cm

D

dU

D

dkSh

312

1

6.00.2

g

g

cc dUhdNu

5.022 11 WCVCU

Page 12: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Kinetics of the other reactionsKinetics of the other reactions

1. CaCO3=CaO+CO2

2. CaO+Fe2O3=(CaO·Fe2O3)3. (CaO·Fe2O3)=CaFe2O4

Assumptions1. The reaction rates are controlled by heat supply (1,2) or removal (3)2. The reactions proceed within a temperature interval T around the corresponding thermodynamic temperature Td

ccCaCOs

s

ll rQY

dt

dH

QTfr

3)1(

1)(1

T

TT d

e

Tf

1

11)(1

Example for reaction (1) T=10Td=1123 K

f1 – function of kinetic factor

rl – reaction rate

Ql – reaction heat

Qc – graphite combustion heat

rc- graphite combustion rateHeat supply rate

Page 13: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Initial porosityInitial porosity“Wall” effect

Mathematical formulation

ABB

A

A

B

rR

zoneTransition

AZone

BZone

,0,0

,0

,0

9.0

:

4.0:

25.0:

RB

B

A

rB

Transition zone

B A

Page 14: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Equation of motion 

gk

gggg

kgg S

xU

xt ,,

1,1;; , WCVCUU gggg

)1(75.1)1(150 2

2

2

2,

p

g

p

gg d

U

d

US

where

Ergunequation

dp - particle diameter - void fraction (porosity)g - gas viscosityg - gas density

Page 15: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

;)(

,1 gg Sx

U

Equations of continuityEquations of continuity and mass conservationmass conservation

rc is the carbon combustion rate

rl is the lime decomposition rate

Mi is the molecular weight

3

22,2

CaCO

COl

c

COcgY M

Mr

M

MrS

CO

C+O2= CO2CaCO3=CaO+CO2

gYk

igig

kig i

Sx

YYU

xY

t ,,

(i = CO2,O2,N2)

;2,2

c

OcgY M

MrS

O 0,2

gYNS

gYgYg OCOSSS ,,,1 22

Page 16: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Equation of energy conservation (gas phase)Equation of energy conservation (gas phase)

Cexk

ggpgTggpg

kggpg SS

x

TCTCU

xTC

t)1(

)( ,,,,

hp d

A)1(6

gsph

gex TTA

d

NuS

Concept of C combustion

Gas-particle heat exchange rate

O2

C

Reaction front

C+O2=CO2

CO2+C=2CO

CO+O2=2CO2

)1( ccC rQS- part of C combustion heatgoing directly to solid phase( =0.5)

(fixed flux)

Page 17: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Equation of energy conservation (solid phase)Equation of energy conservation (solid phase)

),(

),(

,,

issp

iseffsH YTC

YT

Obstexk

ssH

kss SSSS

x

H

xH

t

,,

;)1(,, solds

sst HH

tS

CCaCOCaOOFeiY Radi

iieff ,,,; 332

Rad - radiative conductivity according to Rosseland diffusion model

;3

16 3ssRad T ;

)1(

2

3 h

s d

sp

ss C

HT

,

- Stephan-Boltzmann constant (=5.6710-8), s - scattering

coefficient

- the reflectivity coefficient (=0.5) , Ts – solid temperature

Page 18: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Equation of energy conservation (solid phase)Equation of energy conservation (solid phase)

sgph

gexH TTA

d

NuS

,

sfmmllo rQrQrQS

Obstexk

ssH

k

SSSSx

H

x

,,

Qi and ri are heat effect and rate of appropriate reactions

l - CaCO3=CaO+CO2 m - CaO+Fe2O3=(CaO·Fe2O3) f,s - (CaO·Fe2O3)=CaFe2O4

Page 19: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Air (Ta)

Boundary and initial conditionsBoundary and initial conditions

B

AAir velocity at inlet

Initial chemical composition and porosity

Zone Fe2O3 C CaCO3 A 0.82 0.03 0.15 0.40 B 1.0 0.0 0.0 0.25

W1 is defined from condition gW1=const (1.2)

V1 = 0

Initial temperature

Tg=Ts=25OC

Air temperature at inlet

Page 20: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Setting of solver optionsSetting of solver options

Grid type : BFC 2048Time dependence: unsteady 1s 600 step = 600 s Flow : laminar One-phase mode (ONEPHS=T)Total number of iteration : 100Global convergence criteria : 0.5%Equation formulation : Elliptic GCVDifferencing schemes : Hybrid

Page 21: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Example of calculated results.Velocity vectorExample of calculated results.Velocity vectort = 90 s 180 s 330 s

Page 22: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Carbon mass fraction and heat generationCarbon mass fraction and heat generation

Carbon mass fraction Heat generationHeat generation

Page 23: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Solid temperature and limestone fractionSolid temperature and limestone fraction

Temperature of solid phase Limestone fraction

Page 24: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Solid temperature and melted phase fractionSolid temperature and melted phase fraction

Temperature of solid phase Melted phase fraction

Page 25: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Solid temperature and solid phase fractionSolid temperature and solid phase fraction

Temperature of solid phase Solidified phase fraction

Page 26: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

Carbon mass fraction and void fractionCarbon mass fraction and void fraction

Carbon mass fraction Porosity

Page 27: Simulation of sintering of iron ore packed bed with variable porosity S. V. Komarov and E. Kasai Institute of Multidisciplinary Research for Advanced Materials.

ConclusionsConclusions

Phoenics code has been applied to the problem of iron ore sinteringprocess which includes coke ignition and flame front propagation through the sintering bed

It is shown that Phoenics can be used to simulate transient two-phase problems under one-phase setting option

Ground coding allows to simulate gas flow, heat and mass transfer through bed of variable porosity

The predicted results seem to be realistic but the model needs to be validated against experimental data