Modelling Plate Mill Rolling An Expert Practical System Approach
- M. Rebellato* and R. Barbosa**
*Companhia Brasileira de Mineração e Metalurgia, **Universidade Federal de Minas Gerais
The Charles Hatchett Seminar, 16th July 2014, London
Modelling Plate Mill Rolling An Expert Practical System Approach M. - - PowerPoint PPT Presentation
Modelling Plate Mill Rolling An Expert Practical System Approach M. Rebellato* and R. Barbosa** *Companhia Brasileira de Minerao e Metalurgia, **Universidade Federal de Minas Gerais The Charles Hatchett Seminar, 16 th July 2014, London
*Companhia Brasileira de Mineração e Metalurgia, **Universidade Federal de Minas Gerais
The Charles Hatchett Seminar, 16th July 2014, London
Charles Hatchett Seminar Plate mill: an expert practical system 2
properties are heavily dependent on how fine and homogeneous the cross section ferrite grains become
metallurgical fundamentals to the production line
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layout design, customer and societal specifications, costly downgrades
give outputs very rapidly
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system is necessary
http://www.industry.siemens.com/datapool/industry/industrysolutions/metals/siroll/en/Dongkuk-Plate-Mill-No.2-en.pdf
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project aimed at building a practical expert system for industry rolling of microalloyed steels is presented
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Microstructure at ¼ thickness
Fine grains Coarse grain Mixed microstructure
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Microstructure at ¼ thickness
Fine grains Coarse grain Mixed microstructure
Grain sizes Average ~ 10 μm However, grain sizes ranging from ~ 20-25 to ~ 5-6 μm
Very inhomogeneous structure
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Element % weight C 0.046 Mn 1.08 Nb 0.04 Ti 0.014 V Cu Cr, Ni, Mo < 0.35 N2 0.0051
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Ti = 0.014 N2 = 0.0051 3.4 : 1 All Ti as TiN 0.0009 N2 available (almost no N2 left) N2 left ≈ 0 Nb = 0.040 7.75 : 1
Nb
solution = 0.040 – 0.006 = 0.034 Form TiN + NbCN (few) + NbC , ie, mixed particles + leaving Nb in solid solution during rolling Most Nb in solution Low RLT and RST
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Time Temperature
Broadsizing @ 1150oC Roughing R1 @ 1140oC and R8 @ 1130oC RLT @ 970oC RST @ 890oC Finishing F1 @ 940oC and F6 @ 855oC Acc Tstart @ 830oC and Tfinish @ 500oC Time = 25 s Holding period 240 s Possible partial recrystallization case due to low strain accumulation
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Pass Recrystallized fraction after pass (%) Accumulated strain up to a given pass F1 17 0.33 F2 73 0.61 F3 90 0.50 F4 22 0.29 F5 18 0.46 F6 5 0.50 Model indicates: possible partial recrystallization case low strain accumulation before transformation
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Time Temperature
Broadsizing @ 1150oC Roughing R1 @ 1140oC and R8 @ 1130oC RLT @ 970oC RST @ 890oC Finishing F1 to F6 below RST and above AR3 Holding period 300 s Acc Tstart @ 830oC and Tfinish @ 500oC Time = 25 s
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Reference temperature Temperature (oC)
RST 890 Finishing start temperature (F1) 910 (940 previous schedule) Finishing stop temperature (F6) 825 (855 previous schedule) AR3 810
Temperatures Possible outcome
No partial recrystallization and Increase in strain accumulation before transformation
Recrystallization and strain accumulation after changes
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Pass Recrystallized fraction after pass (%) Accumulated strain up to a given pass F1 Nil 0.38 F2 Nil 0.75 F3 Nil 1.08 F4 Nil 1.29 F5 Nil 1.51 F6 Nil 1.65 Model indicates: no recrystallization in all passes substantial increase in accumulated strain
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Microstructure at ¼ thickness Grain sizes Average ~ 7 μm Grain sizes ranging from ~ 10-12 to ~ 3-6 μm
More homogeneous structure
New trial
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Microstructure at ¼ thickness
After Before
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Inputs Outputs
Alloy design Process parameters
Nb content in solution Time needed to dissolve Nb
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Inputs Outputs
Process parameters
Recrystallization data Precipitation data Ferrite grain size Schedule optimization Nb in solution (from reheating module)
Schedule thicknesses, mm
Stage at rolling Slab 300 End broadsizing 227 Hold 64 Final 16
Reduction %
Stage at rolling Reduction (%) Recommended Sizing + broadsizing 24 Roughing 70 ≥ 50 – 60% Finishing 75 ≥ 20%
5 10 15 20 25 30 35 B1 B2 B3 R1 R2 R3 R4 R5 F1 F2 F3 F4 F5 F6
Reduction [%] Pass Number
Suggested schedule
Heaviest thickness reduction applied at last roughing pass
BS Roughing Finishing Obs.: a) Heaviest thickness reduction at last roughing pass; b) Pass reductions are progressive along metallurgical roughing phase.
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Numerical
Numerical
Plate mill: an expert practical system
There are several types
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Wide plate mill
http://www.danieli.com/products/Flat-Products- Hot-Rolling-Mills/Plate-Mills/PLATE-MILLS/Wide- Plate-Mill on April, 12, 2014.
understanding of the physical variables and metallurgical phenomena behind the process
Plate mill: an expert practical system
Among strong points…
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C.L. MIAO, C.J. SHANG, H.S. ZUROB, G.D. ZHANG, and S.V. SUBRAMANIAN, Recrystallization, Precipitation Behaviors, and Refinement of Austenite Grains in High Mn, High Nb Steel, METALLURGICAL AND MATERIALS TRANSACTIONS A VOLUME 43A, FEBRUARY 2012—66
Predicted results showing evolution of net drive force of recrystallization with time.
variables that are difficult to obtain with a specific degree of accuracy
Plate mill: an expert practical system
…however…
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TRIP steel, Acta Materialia 61 (2013) 7251–7259.
understanding however,
variables persists and
consuming
Plate mill: an expert practical system
Possible strong and weak points
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TRIP steel, Acta Materialia 61 (2013) 7251–7259.
Multiscale model
Obs: Model uses a continuum dislocation density evolution model coupled with a heat transfer model integrated with a mesoscale Monte Carlo (MC) simulation technique.
use
generalization
numerical algorithm
Plate mill: an expert practical system
Possible strong and weak points
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Average prediction errors for MFS values calculated using equations available in the literature
Antonella DIMATTEO, Marco VANNUCCI and Valentina COLLA , Prediction of Mean Flow Stress during Hot Strip Rolling Using Genetic Algorithms, ISIJ International, Vol. 54 (2014), No. 1, pp. 171–178
Plate mill: an expert practical system
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REVERSING MILLS, Metallurgist, Vol. 56, Nos. 11–12, March, 2013 (Russian Original Nos. 11–12, Nov.–Dec., 2012). The authors are at the Prometey Central Research Institute of Structural Materials.
“A concept of structure formation (and consequently properties) for thick rolled sheet was developed as applied to equipment of reversing hot-rolling mills with different properties”
use
generalization
possibly a type of model suitable for
multipass rolling
Plate mill: an expert practical system
Possible strong and weak points
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Comparison of calculated results for ferrite grain size with experimental data (steel X80, dγ = 17 μm, cooling rate 1°C/sec).
REVERSING MILLS, Metallurgist, Vol. 56, Nos. 11–12, March, 2013 (Russian Original Nos. 11–12, Nov.–Dec., 2012). The authors are at the Prometey Central Research Institute of Structural Materials.
generalization
multipass rolling
Plate mill: an expert practical system
Empirical models
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Physically based model
understanding
variables
for on-site multipass rolling modelling
reliable, applicable on-site model.
been used to validate the model. The suggested optimized schedule showed potential to improve mechanical properties of the plate.
used as an on-site tool.
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