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ANNUAL REPORT 2008UIUC, August 6, 2008
Xiaoxu Zhou (MS Student), Sami Vapalahti (Ph.D. Student),Humberto Castillejos E. (Prof.), F. Andres Acosta G. (Prof.), Alberto
C. Hernandez B.(PHD Student), José Manuel González de la Cruz (MS Student), Brian G. Thomas
Laboratory of Process Metallurgy, Cinvestav, MexicoDepartment of Mechanical Science and Engineering
University of Illinois at Urbana-Champaign
Spray heat transfer research
at Cinvestav, Mexico
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 2
Acknowledgements
• Continuous Casting Consortium Members (Baosteel, Corus, Goodrich, Labein, LWB Refractories, Mittal, Nucor, Postech, Steel Dynamics, Ansys Inc.)
• National Science Foundation– GOALI DMI 05-00453 (Online)
• Laboratory of Process Metallurgy, CINVESTAV, Mexico
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 3
Outline
• Goals
• Transient experiments (Vapalahti’sprevious work - 2006 CCC meeting)
• Steady state experiments – Experiment setup
– Previous experiments
– Current experiments
• Conclusion
• Future work
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 4
Goals
• To study dynamics of spray heat transfer– Comparison between steady state and transient
results to understand phenomena related to both cases
• To quantify heat transfer coefficients and Leidenfrost effects obtained with air-mist spray nozzles
• To implement obtained information to current heat transfer models
• Validate heat transfer models with industrial trials
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 5
Transient equipment
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 6
Transient Measurements
The plates were produced and measured for actual locations of the thermocouples and the thermocouples are attached
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 7
Typical water flux distribution on the steel plate(obtained by footprint measurement)
-Vaphalahti’s 2006 CCC annual meeting report
Impact flux density: L/m2s
Nozzle type: Delavan 51474-1
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 8
Cooling Curves Plate 4
0
200
400
600
800
1000
40 45 50 55 60 65 70Time (s)
Te
mp
era
ture
(°C
)
Thermocouple 1
Thermocouple 2
Thermocouple 3
Thermocouple 4
Cooling Curves Plate 6
0
200
400
600
800
1000
45 50 55 60 65 70 75
Time (s)
Te
mp
era
ture
(°C
)
Thermocouple 1
Thermocouple 2
Thermocouple 3
Thermocouple 4
Cooling curves
Smooth2430.78625.83.83.610506
2230.75625.113.83.59754
NoteWater T (°C)Qw (l/min)Qa (grams/min)Pw (kg/cm²)Pa (kg/cm²)To (°C)Plate
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 9
Heat flux calculated by inverse model
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 10
Steady state experiment--Setup
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 11
Current experiment--Setup (3D schematic)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 12
Schematic of induction Heating System
WaterCooling
System
High Frequency Generator
Sample
Capacitor
Circuitry
Tout,coil,hot
Tin, tot
Tout, tot
Tout, coil
Coil Flowmeter
Thermocouple
Total
Flowmeter
Valve
Circuitry
Note: Thermocouples Tout,coil,hotand Tout, coil were just added for the current tests
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 13
Plastic-walled Box (containing induction coil in ceramic block, sample, and thermocouples)
Later TC position Back TC position
Plastic tube mold used to form ceramic block
Copper coil
Plastic side wall Quartz frontal wall
NozzleSample
Induction heating Copper coil
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 14
Assembled box
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 15
Current Ceramic block
Copper coil
Ceramic block Sample Lateral TC
Back TC
Sample TC
Sample
Sample TC
Ceramic tube
•Induction is applied on the surface of the sample parallel to the coil and heat is generated on the surface within the skin depth of the system
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 16
Lateral TC
Back TC
Copper Coil
Sample
Sample TC
Front Side
QuartzGlass
Plastic Tube
6.2
0.88
27
12.92
4.3
11
2.00 4.12
1.7
1.63
25.4
8.00
2.54
30
Ceramic Block
Schematic of ceramic block
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 17
Previous coil, TC and ceramic block
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 18
Previous heat analysis
Heat balance:Ptot=Pwater+Psample+Pair&components
Assumption for heat analysis:The power loss to water and sample is a constant fraction of total power.
Psample=f . Ptot
Psample=Pspray water+Pconduction to ceramic block
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 19
Previous experiment results
• Steady state and transient results with similar conditions:
0
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
550 650 750 850 950 1050 1150
Calculated Surface Temperature (°C)
He
at F
low
(W
/m²)
Steady state 2.17 LPM
Transient 2.02 LPM
Transient 1.76 LPM
Transient 3.32 LPM
Transient 3.34 LPM
Steady state 3.14 LPM
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 20
Current experiment
• Heat sample for prescribed temperature path (control power by sample TC)
• Record: – sample temperature,
– ceramic temperature (lateral and back),
– four water temperatures in the pipes,
– total power input.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 21
Tests (May 15, 2008 –July 15, 2008)
625325650650Air flow rate (gpm)
Heating
(100-1300)
6.0
A3
Heating
(100-1300)
Heating
(100-1300)
Heating
(100-1300)
Temp path
12.06.03.0Water flow rate (lpm)
A4A2A1cases
•Nozzle type: ss-6.5-9
104125104Air flow rate (gpm)
Heating
2.0
B2
Heating-Cooling-HeatingHeatingTemp path
4.64.6Water flow rate (lpm)
B3B1cases
•Nozzle type: Delavan W19822
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 22
Case A1: power vs. time• Water flow rate:3 lpm• Air flow rate: 650 gpm• Nozzle: ss-6.5-9• 5 min for each temp Total power and sample temperature vs. time
Note: large power on heating to 300C; level to 600C; then drop-off
Repeat case A1 3 times to show reproducibility
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 23
Case A1: ceramic temps vs. time
Ceramic and sample temperatures vs. time
Note: nearby ceramic heats rapidly until sample is 300C, then approximately level;far-away ceramic slowly heats throughout tests.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 24
Heating-cooling-heating (Case B3)
Note: The power gives almost the same behavior during heating, but much lower in cooling.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 25
Other recent cases
Heating for a long time at 200 oC, 600 oC, 1100 oC
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 26
Ceramic block thermal time constant
• Time constant for ceramic block from front to the lateral TC
23 9 3 3
22 6 2 6 2
25.41762 / ( 11 10 ) 0.74 10 /4~ ~ 7.4 min
25.410 / ( 25.4 11 10 2 10 )4
p
s
kg m m J kgKVC
hAW m K m m
πρ
π π
−
− −
× × × × × ×
× × × × + × × ×
• Time constant for ceramic block from front to the back TC
23 9 3 3
22 6 2 6 2
25.41762 / ( 27 10 ) 0.74 10 /4~ ~ 9.4 min
25.410 / ( 25.4 27 10 2 10 )4
p
s
kg m m J kgKVC
hAW m K m m
πρ
π π
−
− −
× × × × × ×
× × × × + × × ×
~ 0.004 1ci
hLB
k= <<
~ 0.01 1ci
hLB
k= <<
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 27
Preliminary heat conduction analysis
32.53thickness
(mm)
44Radius (mm)
Sample hereSample used in
tests
02 =+∇ STk
2JP ev ρ=
-Prof. Humberto’s simulation by CONDUCT
σµπδ
f
1=
Heat transfer equation:
Power density generated by induction heating:
Skin depth:
•The quasi-parallel isotherms can be achieved, in all cases, in a central region •located within: 2 < z < 3 mm and 0 < r < 2 mm •The higher melting point and superior oxidation resistance of platinum are desirable advantages when heating the sample at the high temperatures.
Computed isotherms for steady spray cooling with induction heating of samples of a platinum (r-z symmetry plane) Copper coil
Spray
1170/11101174/11441206/1196Max/min temp on surf, Deg C
119011861205Sample TC temp, Deg C
Case CCase B Case A
A CB
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 28
Conclusions
• The new system has a high reproducibility.• The steady-state analysis actually has transient
components which take many minutes to heat up.• Significant power is lost to ambient air and cooling
water, which must be accounted for using more TCs. • The ceramic block shape complicates the analysis of
heat transfer. • Cooling requires much less power than heating,
which means hysteresis effect might exist.• The previous heat-flow models are not quite
reasonable: more accurate modeling is needed before heat extraction can be accurately quantified.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Xiaoxu Zhou 29
Future work
• Construct a more accurate model to quantify heat transfer coefficients obtained with air-mist spray nozzles
• To implement obtained information to Con1d models
• Validate heat transfer models with industrial trials