uiuc, august 19, 2015 effect of nozzle port angle on mold...

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CCC Annual Report UIUC, August 19, 2015 UIUC: Seong-Mook Cho and Brian G. Thomas POSTECH: Hyoung-Jun Lee and Seon-Hyo Kim POSCO: Ji-Joon Kim, Hyun-Jin Cho, Jong-Wan Kim, and Yong-Hwan Kim Department of Mechanical Science & Engineering University of Illinois at Urbana-Champaign Effect of Nozzle Port Angle on Mold Flow University of Illinois at Urbana-Champaign Metals Processing Simulation Lab Seong-Mook Cho 2/35 Research Scope Objectives: - Optimize nozzle port angle to reduce flow-related surface defects in wide slab - Investigate mold flow patterns in wide slab caster with current casting conditions - Quantify effect of nozzle port angle on flow pattern and surface velocity, and surface level in a wide slab caster - Investigate similarity between water model experiments and plant measurements by comparing surface velocity Methodologies: - 1/3 scale water model experiments to visualize mold flow patterns and quantify surface velocity and surface level fluctuations - Plant measurements to measure surface velocity, surface level, slag pool thickness using nail dipping tests and level sensor measurements - Computational modeling using Fluent on lab workstation or Blue Waters supercomputer to quantify nozzle flow and mold flow

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Page 1: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

CCC Annual ReportUIUC, August 19, 2015

UIUC: Seong-Mook Cho and Brian G. Thomas POSTECH: Hyoung-Jun Lee and Seon-Hyo KimPOSCO: Ji-Joon Kim, Hyun-Jin Cho, Jong-Wan Kim, and

Yong-Hwan Kim

Department of Mechanical Science & EngineeringUniversity of Illinois at Urbana-Champaign

Effect of Nozzle Port Angle on Mold Flow

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 2/35

Research ScopeObjectives:

- Optimize nozzle port angle to reduce flow-related surface defects in wide slab- Investigate mold flow patterns in wide slab caster with current casting conditions - Quantify effect of nozzle port angle on flow pattern and surface velocity, and surface level in a wide slab caster- Investigate similarity between water model experiments and plant measurements by comparing surface velocity

Methodologies: - 1/3 scale water model experiments to visualize mold flow patterns and quantify surface velocity and surface level fluctuations- Plant measurements to measure surface velocity, surface level, slag pool thickness using nail dipping tests and level sensor measurements- Computational modeling using Fluent on lab workstation or Blue Waters supercomputer to quantify nozzle flow and mold flow

Page 2: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 3/35

Caster Dimensions and Process ConditionsReal STS caster (Case R)

Lab (1/3) scale Water model (Case W)

Casting speed 0.8 m/min 0.5 m/min

Volume Flow rate 256.0 LPM 16.4 LPM

Mold width 1600 mm 533 mm

Mold thickness 200 mm 67 mm

Aspect ratio between mold width and thickness

8.0 8.0

SEN depth 140 mm 46.7 mm

Nozzle port angle 15° (up) degree15° (up), 5°(up), -15° (down),

-30° (down) degree

Nozzle port size (width x height)

60 mm x 65 mm 20 mm x 21.7 mm

Nozzle bore(inner / outer)

60 ~ 65 mm (from bottom to top) / 110 mm 20.8 mm (average) / 36.6 mm

Area ratio between two ports and nozzle bore

2.54 2.54

Ar gas injection No gas 10 ml/min (0.06 % volume fraction)clear visualization of mold flows

Flow similarity between 1/3 scale water model (Case W) and real caster (Case R)

φ φ φ φ

Froude number (ratio of inertia force to gravitational force): ( ) ( )RW

gLu/gLu/ =

RWRc,Wc, /LLuu =Casting speed uc,W for 1/3 scale water model:

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 4/35

Physical Water Model Experiments

Page 3: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 5/35

Schematic of 1/3 Scale Water Model

V2: surface bottom-up view

3 Video cameras:V1: NF end view

V3: WF front view

Stopper-rod

P P

Tundish

Dam

Weir

SENFlowmeter

Flow meter

PumpPump Reservoir

Valve

3-Ultrasonic displacementsensors

Electromagnetic-current sensor

Mold

30mm from NF

W/4

30 mmfrom SEN

30 mm from NF

Stopper-rod

Dam

Weir

Tundish

SEN

Electromagnetic-current sensor

3-ultrasonic displacement sensors

mold

533 mm1292

mm

380

mm

Nozzle port with+15 ° (up) angle

V1

V2 V3

Valve

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 6/35

Electromagnetic Current Sensor (for Surface Velocities) and Ultrasonic Displacement Sensor

(for Surface Level Variations) Measurements

8

W

Measuring positions of surface flow velocity and surface level

10mm

Front view / wide face

Measure transient surface velocity at

10mm below surface on W/4, W/8, 30

mm from NF, using electromagnetic

current sensor during 1000 sec.

Measure transient surface level on

30mm from SEN, W/4, 30 mm from NF

points, using ultrasonic displacement

sensors during 1000 sec.

4

W

4

W30mm 30mm 30mm

: Electromagnetic current sensor measurement position: Ultrasonic displacement sensor measurement position

Top view / surface

Page 4: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 7/35

Videos to Visualize Mold Flow

<NF end view>

<WF front view>

<Surface bottom-up view>

Record 3 videos to show both nozzle and mold flow at same time Understand measured surface velocity and surface level with help of recorded videos

* Case W. +5 (up) angle nozzle port

Eddy-current sensor

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 8/35

Modeling and Results Analysis

Page 5: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho • 9/35

Quarter Domain and Mesh: Standard k-ε Flow Model with Fluent on Lab Computer (LC)

Case W-LC. +15° (up) angle nozzle Case W-LC. -15° (down) angle nozzle

quarter domain: ~ 0.15 million hexahedral cells

quarter domain: ~ 0.15 million hexahedral cells

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •10/35

Full Domain and Mesh: LES with Fluent on Blue Waters (BW)

Full domain: ~ 2.4 million hexahedral cells

Case W-BW. +15° (up) angle nozzle Case W-BW. -15° (down) angle nozzle

Full domain:~ 2.6 million hexahedral cells

Page 6: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •11/35

Governing Equations

Case W-LC: Reynolds Averaged Navier-Stokes (RANS) Model with standard k-εmodel

Case W-BW: Large Eddy Simulation (LES) with Wall-Adapting Local Eddy (WALE) subgrid-scale viscosity model

( ) 0uρx i

i

=∂∂ ( ) ( )

∂∂

+∂∂+

∂∂+

∂∂−=

∂∂

i

j

j

it

ji

*

jij x

u

x

uμμ

xx

puuρ

xMass conservation Momentum conservation

( ) ρεGx

k

σ

μμ

xuρk

x kjk

t

ji

i

−+

∂∂

+

∂∂=

∂∂

Turbulent kinetic energy

( )k

ερCG

k

εC

x

ε

σ

μμ

xuρε

x

2

2εk1εjk

t

ji

i

−+

∂∂

+

∂∂=

∂∂

Turbulent kinetic energy dissipation rate

( ) 0ρux i

i

=∂∂ ( ) ( ) ( )

∂∂

+∂∂+

∂∂+

∂∂−=

∂∂+

∂∂

i

j

j

it

ji

*

jij

i x

u

x

uμμ

xx

puρu

xρu

t

Mass conservation Momentum conservation

( ) ( )( ) ( )5/4d

ijdij

5/2

ijij

3/2dij

dij2

St

SSSS

SSLρμ

+=

Turbulent viscosity

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •12/35

Boundary Conditions

Case W-LC: Standard k-ε model Case W-BW: LES

Inlet (Tundish bottom region)

Constant velocity: 0.00573 m/secTurbulent kinetic energy: 10-5 m2/sec2

Turbulent kinetic energy dissipation rate: 10-5 m2/sec3

Constant velocity: 0.0573 m/sec

Outlet (Mold exit)

Pressure: 0 pascal gauge pressureTurbulent kinetic energy for backflow:

10-5 m2/sec2

Turbulent kinetic energy dissipation rate for back flow: 10-5 m2/sec3

Pressure: 0 pascal gauge pressure

Surface (interface between water and air)

Stationary wall with 0-shear stressStationary wall with 0-shear

stress

Wide face, Narrow face, Stopper-rod, and Nozzle walls (interface between

water and )

Stationary wall with no slip Stationary wall with no slip

Page 7: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •13/35

Fluent Performance on BW: Speed-Up Test

Test problem: Case W-BW1/3 water model with 15o (up) nozzle portsMesh of nozzle & mold: ~6.94 million hexahedral cells

<Speed up of FLUENT calculation on Blue Waters>

With 96 cores (6 XE nodes), the simulation on Blue Waters runs ~ 41 times faster than on our Lab Computer (LC) (DELL Precision T7600 with Intel Xeon E5-2603 1.80 GHz CPU processor/node with 8 Cores): One iteration on Blue Waters using 96 cores (6 XE nodes) requires ~2.4 seconds of wall clock time. One the other hand, on the lab workstation (using 1 core), the same simulation requires ~ 98.4 seconds of wall-clock time per 1 iteration. Fluent computations on Blue Waters

show almost linear speed-up with increasing XE nodes.

0 16 32 48 64 80 960

1

2

3

4

5

6

7

8

9

10

11

12

13

14 Computing time per 1 iteration Speed-up ratio relative to lab workstation using 1core

Total cores used during computation (#)

Co

mp

uti

ng

tim

e p

er 1

iter

atio

n (

sec)

0

5

10

15

20

25

30

35

40

45

Sp

eed

-up

rat

io*1 BW_XE node usage per 16 cores

Speed-up ratio = Computing time per 1 iteration on LC / Computing time per 1 iteration on BW

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •14/35

0 5 10 15 20 25 30 35 40 45 500

1

2

3

4

5

6

7

8

9

10

11

12

13

14

Computing time per 1 iteration Speed-up ratio relative to lab workstation using 1core

Number of XE node (#)

Co

mp

uti

ng

tim

e p

er 1

iter

atio

n (

sec)

0

5

10

15

20

25

30

35

40

45

Sp

eed

-up

rat

io

Fluent Performance on BW: Nodes-Cores Distribution Test

<Effect of distribution of nodes and cores on speed up of FLUENT calculation on Blue Waters>

3 nodes x 16 cores

6 nodes x 8 cores 24 nodes

x 2 cores12 nodes x 4 cores

48 nodes x 1 core

*Fixed number of total cores: 48 cores

For using same total cores (#48), speed-up of Fluent computation is more enhanced by increasing compute nodes.

Applying the distribution of 48 nodes x 1 cores (total 48 cores), shows more speed-up (~43 times vs ~ 41 times)than using total 96 cores (6 nodes x 16 cores): 48 HPC licenses of the Ansyslicense pool can be saved with more speed-up.

Page 8: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •15/35

0 5 10 15 20 25 30 35 40 45 500.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

BW

-co

re e

ffic

ien

cy

Number of XE nodes (#)0 16 32 48 64 80 96

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

BW

-co

re e

ffic

ien

cy

Total cores used during computation (#)

Fluent Performance on BW: BW-Core License Efficiency

Blue Waters (BW)-core license efficiency = Speed-up ratio / total assigned cores = Computing time per 1 iteration on LC / (Computing time per 1 iteration on BW x total assigned cores)

<Effect of distribution of nodes and cores on BW-core efficiency>

<Effect of number of cores on BW-core efficiency>

*Fixed number of total cores: 48 cores

3 nodes x 16 cores

6 nodes x 8 cores

24 nodes x 2 cores

12 nodes x 4 cores

48 nodes x 1 core

*1 BW_XE node usage per 16 cores

Use of full 16 cores per 1 node for Fluent calculation on BW, has low efficiency: only 0.4 ~0.5 of lab computer computation using 1 core. For using same total cores (#48), BW calculation per 1 core shows much higher efficiency by

increasing compute nodes.

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •16/35

Time-averaged Jet Flow Patterns(Case W-LC)

Case W-LC. +15° (up) angle nozzle Case W-LC. -15° (down) angle nozzle

Back flow from mold to nozzle port, get more with 15 ° (up) nozzle port Jet flow in the mold get deeper with -15 ° (down) nozzle port

Nozzle port view

Nozzle port view

Center-middle plane view Center-middle plane view

Velocity magnitude (m/sec)

Page 9: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •17/35

Transient Swirl from Nozzle Port

Case W. +15° (up) angle nozzle portCase W-BW. +15° (up) angle nozzle port

Case W-BW. -15° (down) angle nozzle port Case W. -15° (down) angle nozzle port

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •18/35

Time-averaged Mold Flow Patterns (Case W-LC)

Case W-LC. +15° (up) angle nozzle Case W-LC. -15° (down) angle nozzle

Velocity magnitude (m/sec)

With the nozzle port having +15 ° (up) angle, jet flow goes down deep into wide mold cavity: downward flow is predominant, this is very harmful to produce internal defects.

Downward -15 ° degree nozzle port induces a classic double-roll pattern in wide mold.

Page 10: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •19/35

Vertical Velocity along NF (Case W-LC)

-0.10 -0.05 0.00 0.05 0.10 0.15 0.20400

350

300

250

200

150

100

50

0

Dis

tan

ce b

elo

w t

he

surf

ace

(mm

)

Vertical velcotiy component along casting direction (m/sec)

15 (up) degree -15 (down) degree

~40 mm

~80 mm

Jet flow impingement point on narrow face, is moved deeper into the mold cavity, by decreasing nozzle port angle.

Upward angle of +15°causes strong downward flow along casting direction. °

°

*Error bars: expected velocity fluctuations = ( ) k3

2u

2' =

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •20/35

Turbulent Kinetic Energy in Mold(Case W-LC)

Case W-LC. +15° (up) angle nozzle Case W-LC. -15° (down) angle nozzle

Jet wobbling is more severe with +15 (up) degree nozzle port, resulting in higher surface flow instability

Page 11: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •21/35

Transient Mold Flow Patterns

Measured: Case W. +15° (up) angle nozzle Measured: Case W. -15° (down) angle nozzle

Predicted: Case W-BW. +15° (up) angle nozzle Predicted: Case W-BW. -15° (down) angle nozzle

From both measurements and predictions, the case of 15 (up) angle nozzle shows more variations of jet flow: Jet flow from the nozzle port with 15 (up) angle, induces more severe jet wobbling by producing more swirl flow?

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •22/35

Water Model Measurements: Surface Velocity with +15°(Up) Angle Port

Velocity of flow from IR to OR (m/s)

Velocity of flow From NF to SEN (m/s)

Average Standarddeviation

Average Standarddeviation

30 mmfrom NF

-0.0175 0.0215 0.0535 0.0189

W/8 -0.0118 0.0173 0.0595 0.0310

W/4 0.0218 0.0335 0.0628 0.0292

<30 mm from NF> <W/8>

<W/4>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<30 mm from NF>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN <W/8 location>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN<W/4 location>

Page 12: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •23/35

Water Model Measurements: Surface Velocity with +5° (Up) Angle Port

Velocity of flow from IR to OR (m/s)

Velocity of flow From NF to SEN (m/s)

Average Standarddeviation

Average Standarddeviation

30 mmfrom NF

-0.0125 0.0226 0.0561 0.0141

W/8 -0.00473 0.0215 0.0795 0.0282

W/4 -0.00492 0.0134 0.0985 0.0265

<30 mm from NF> <W/8>

<W/4>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<30mm from NF>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Ve

loc

ity

(m

/sec

)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN<W/4 location>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<W/8 location>

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •24/35

Water Model Measurements: Surface Velocity with -15° (Down) Angle Port

Velocity of flow from IR to OR (m/s)

Velocity of flow From NF to SEN (m/s)

Average Standarddeviation

Average Standarddeviation

30 mmfrom NF

-0.00381 0.0190 0.0768 0.0144

W/8 -0.00266 0.0204 0.118 0.0213

W/4 -0.00278 0.0126 0.124 0.0199

<30 mm from NF> <W/8>

<W/4>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<W/8 location>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Ve

loci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN<W/4 location>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<30mm from NF>

Page 13: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •25/35

Water Model Measurements: Surface Velocity with -30° (Down) Angle Port

Velocity of flow from IR to OR (m/s)

Velocity of flow From NF to SEN (m/s)

Average Standarddeviation

Average Standarddeviation

30 mmfrom NF

-0.00158 0.0124 0.0651 0.00762

W/8 0.0000297 0.0121 0.112 0.0173

W/4 -0.00305 0.0155 0.105 0.0172

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oc

ity

(m

/se

c)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<30mm from NF>

<30 mm from NF> <W/8> (near NF)

<W/4>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oci

ty (

m/s

ec)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<W/8 location>

0 100 200 300 400 500 600 700 800 900 1000-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

0.22

Vel

oc

ity

(m

/sec

)

Time (sec)

velocity of flow from IR to OR velocity of flow from NF to SEN

<W/4 location>

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •26/35

Model Validation (Results of Case W and Case W-LC) : Horizontal Surface Velocity

0 50 100 150 200 250-0.05

0.00

0.05

0.10

0.15

0.20

Ho

rizo

nta

l ve

loc

ity

co

mp

on

en

t to

wa

rds

SE

N (

m/s

ec

)

Distanc e from nozzle center (mm)

Predicted Measured15 (up) degree: -15 (down) degree:

Su

rfac

e-fl

ow

vel

oci

ty t

ow

ard

s S

EN

(m

/sec

)

*Error bars: expected velocity fluctuations = ( ) k3

2u

2' =

RANS model using standard k-ε model agrees with water model measurements of surface velocity and its fluctuation

Page 14: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •27/35

Model Validation (Results of Case W and Case W-LC) : Surface Level

0 50 100 150 200 250-2.0

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

2.0

Su

rfa

ce

lev

el (

mm

)

Distance from SEN center (mm)

Predicted (Case W-LC) Measured (Case W)+15o (up) angle:

-15o (down) angle:

i AVGi

w

P -Ph =

ρ g

Average surface level profile (hi):

Surface level fluctuation ( ):

i

k∆h =

g

i∆h

RANS model using standard k-εmodel agrees with water model measurements of average surface level profile Discrepancy of level fluctuation:

Low resolution (0.5 mm) of level sensor is not sufficient to capture level fluctuations in water model mold.

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •28/35

Effect of Port Angle on Average of Velocity Components

130 140 150 160 170 180 190 200 210 220 230 240-0.03

-0.02

-0.01

0.00

0.01

0.02

0.03

Vel

oci

ty (

m/s

ec)

Distance from mold center (mm)

15 (upward) 5 (upward) - 15 (downward) - 30 (downward)

<Comparison of average cross-flow velocity component towards OR>

<Comparison of average surface velocity component towards SEN>

130 140 150 160 170 180 190 200 210 220 230 2400.00

0.01

0.02

0.03

0.04

0.05

0.06

0.07

0.08

0.09

0.10

0.11

0.12

0.13

Vel

oci

ty (

m/s

ec)

Distance from mold center (mm)

15 (upward) 5 (upward) - 15 (downward) - 30 (downward)

The cases of downward port angle show higher surface velocity towards SEN, than upward angle cases -15° (down) angle port causes the highest

surface velocity component towards SEN.

Upward angle port produces more asymmetric flow between IR and OR than downward angle port.

w/4 point w/8 point 30 mm from NF

Su

rfac

e-fl

ow

vel

oci

ty t

ow

ard

s S

EN

(m

/sec

)

Cro

ss-f

low

vel

oci

ty t

ow

ard

s O

R (

m/s

ec)

Wy,u Wz,u

°°°°

°°°°

SENSEN

Page 15: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •29/35

Effect of Port Angle on Fluctuations of Velocity Components

<Comparison of fluctuations of velocity component towards OR>

<Comparison of fluctuations of velocity component towards SEN>

130 140 150 160 170 180 190 200 210 220 230 2400.00

0.01

0.02

0.03

0.04

0.05

Vel

oc

ity

(m

/sec

)

Distance from mold center (mm)

15 (upward) 5 (upward) - 15 (downward) - 30 (downward)

130 140 150 160 170 180 190 200 210 220 230 2400.00

0.01

0.02

0.03

0.04

Vel

oci

ty (

m/s

ec)

Distance from mold center (mm)

15 (upward) 5 (upward) - 15 (downward) - 30 (downward)

Velocity fluctuations towards both SEN and OR, increase with increasing nozzle port angle

ST

DE

V O

f S

urf

ace-

flo

w v

elo

city

to

war

ds

SE

N (

m/s

ec)

ST

DE

V o

f C

ross

-flo

w v

elo

city

to

war

ds

OR

(m

/sec

)

( )2'Wy,u ( )2'

Wz,u

°°°°

°°°°

SEN SEN

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •30/35

Power Spectrum Analysis of Transient Surface Velocity towards SEN of Water Model measurements

1E-3 0.01 0.1 11E-15

1E-14

1E-13

1E-12

1E-11

1E-10

1E-9

1E-8

1E-7

1E-6

1E-5

1E-4

Po

wer

(m

2/se

c2)

Frequency (Hz)

15 (upward) 5 (upward) -15 (downward) -30 (downward)

<Power of velocity variation on W/8 location at the surface>

<Oscillation period plotted against ratios of submergence depthsand casting speeds[*]>

Upward port angle induces stronger surface velocity variations. For the nozzle port with +15° (up) degree angle, the frequency of ~0.11 Hz, for asymmetric flow

past the SEN predicted using Honeyands and Herbertson’s relation, is found in the power spectrum

*T.A. Honeyands and J. Herbertson: 127th ISIJ Meeting, Tokyo, Japan, March, 1994.

~5.6

~9.3

~0.11 Hz (~ 9.3 s oscillation)

Page 16: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •31/35

Nail Dipping Tests

Total tests (for each IR and OR region)

5

interval of each test 1 minute

Dipping time 3 sec

Dipping test details

<Measurement locations in mold>

1600 mm

200

mm

W/8

200 mm<Case R>

SEN

600 mm

Measurement locations

50 mm50 mm

( ) ( )0.567

lump

0.696

lumps (mm)h(mm)φ0.624(m/s)u ⋅⋅= −

Empirical equation for surface velocity magnitude[*]:

* Liu et al., Proc. of TMS 2011,TMS, Warrendale, PA, USA

<Solidified lump from nail dipping test>

hlump

lumpφ

Surface velocity magnitude:

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •32/35

0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0-0.25

-0.20

-0.15

-0.10

-0.05

0.00

0.05

0.10

0.15

0.20

0.25

Ho

rizo

nta

l vel

oci

ty c

om

po

nen

t to

war

ds

SE

N (

m/s

ec)

Distance ratio from nozzle center to NF

Computational model 1/3 scale water model Nail board measurement

Scale up method:

Su

rfac

e-fl

ow

vel

oci

ty t

ow

ard

s S

EN

(m

/sec

)

ys,u

×=

Win,

Rin,Ws,Rs, u

uuu

( )

( )

××

××

×=

2

W

WWWc,

2

R

RRRc,

Ws,

twu

twu

u

×=

Wc,

Rc,Ws, u

uu

W

RWs, L

Lu ×=

Ws,Rs, u1.73u ×= Limitation to understand surface flow in real wide-mold caster

from water model measurement and computational modeling of water model: Computational modeling for real caster case including steel shell and liquid mold flux layer is needed

Suggested by Singh, Thomas, and Vanka [*]

Froude number similarity

s: surface, in: nozzle inlet, r: nozzle inner radiusw: mold width, t: mold thickness, L: process length scale

* Sigh et al., MMTB, Vol. 44B, 2013, p.1201-1221

Comparison of Plant Measurements (Case R), 1/3 Scale Water Model Measurements (Case W), Computational Model (Case W-LC): All Scaled-Up of Surface Velocity for Real Caster

+15° (Up) degree nozzle

Page 17: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •33/35

Summary: Modeling and Measurements

1/3 scale water model experiments, plant measurements, and computational modeling using both lab computer and Blue Waters supercomputer, were performed to investigate effect of nozzle port angle on nozzle and mold flow, for reducing surface defects in wide slab.

Reynolds-Averaged Navier-Stokes (RANS) model using standard k-εmodel on lab computer and Large Eddy Simulation (LES) on Blue Waters supercomputer, were used to quantify time-averaged and -dependent flow in 1/3 scale water model

RANS model shows a very good quantitative match with average surface velocity profile across 1/3 scale water model.

LES model can capture transient nozzle swirl and jet wobbling, which is important transient flow phenomena to cause surface instability, related to surface defect formation with nozzle port angle effect.

Water model surface velocities near narrow face exceed those in real wide-mold caster.

Transient flow modeling including steel shell and liquid mold flux layer, is likely needed to understand surface flow variations (especially, near NF) in wide mold of real caster

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •34/35

Summary: Effect of Nozzle Port Angle & Suggestion

Jet flow from +15° (up) nozzle port shows more severe wobbling than +5°(up), -15°(down), -30°(down) ports; this jet impinges first on top surface causing surface instability (the highest surface velocity variations even though it has the lowest surface velocity).

Higher surface velocity fluctuations not always caused by faster surface flow: surface instability depends on casting conditions

Maximum average surface velocity is produced by port angle of -15° (down). - Deeper port angle (-30° (down)) has slower surface velocity.- Shallower port angle (+5° (up) and +15° (up) degree) has slower surface velocity.

Maximum surface velocity when jet impinges on NF at upward angle: Surface velocity slower if jet first impinges on NF at downward angle or near top surface or corner

Up-angled nozzle with non-optimized SEN depth could be detrimental in causing both severe surface instability (surface defects) and abnormal downward flow (internal defects) deep into mold cavity.

Worst flow pattern (from +15° in this work) is unstable between single and double-roll: pressure sucks jet up to impinge top surface; or down to impinge on NF; wobbling between causes instability and defects)

Deeper submergence is suggested for up-angled nozzle in this caster system to enable jet flow-hit to impinge first on NF

High-frequency low-amplitude turbulence is optimal to get mixing, heat transfer to meniscus without surface instability: Avoid High-power lower-frequency oscillations with large spatial variations.

Page 18: UIUC, August 19, 2015 Effect of Nozzle Port Angle on Mold Flowccc.illinois.edu/s/2015_Presentations/03_CHO-SM_Nozzle_Port... · University of Illinois at Urbana-Champaign • Metals

University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Seong-Mook Cho •35/35

Acknowledgments

• Continuous Casting Consortium Members(ABB, AK Steel, ArcelorMittal, Baosteel, JFE Steel Corp., Magnesita Refractories, Nippon Steel and Sumitomo Metal Corp., Nucor Steel, Postech/Posco, SSAB, ANSYS/ Fluent)

• Blue Waters / National Center for Supercomputing Applications (NCSA) at UIUC

• POSCO (Grant No. 4.0011721.01)• Dr. Ahmed Taha, NCSA for help with the Fluent

Module Implementation into Blue Waters• Hyun-Na Bae, Dae-Woo Yoon, and Seung-Ho Shin

POSTECH for help with the 1/3 scale water model experiments