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7/27/2019 CFD Modeling of Copper Smelting - Peru 2012
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Computational Fluid Dynamic
(CFD) modeling of copper flash
smelting and converting
Hong Yong Sohn
Department of Metal lurgical Engineer ing
University of Utah, Salt Lake City, Utah, U.S.A.
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Outokumpu Flash Furnace
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Process Design andMathematical Modeling
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Process Modeling
Earlierpyrometallurgical processes: Batch, equil.
conditionsNewer processes: Higher productivity, higher
intensity (Rate processesare inportant.)
Need for transport property data, more reliable
thermochemical data
Improved tools have become available:
Computers, analytical instruments, electronic
apparatusesCFD: Flash smelting processes
Thermochemistry of minor element behavior
Gas injection into melts
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x
y
z
OXYGEN-ENRICHED AIR
MOLTEN BATH
SURFACE
TO UPTAKE
SHAFT
O2
SO2
I
REACTION SHAFT
COPPER MATTE
PARTICLES
PARTICLE CLOUDS
Computational Fluid Dynamics Modeling
of Flash Smelting and Converting Furnaces
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Components of Computer Modeling
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Turbulent Flow Phenomena
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Gas-Phase Equations
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Particle-Phase Equations
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Apparatus for Particle-Dispersion Analysis
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Digitized Image of Particles in Gas Jet
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Experimental vs. Computed Particle Distribution
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Schematics of Pilot Flash Furnace Facility
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Results for Flash Smelting Experiment
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6-Jet Entry Pilot Burner
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Gas Velocity Vectors in Laboratory Furnace(6-Jet Entry System)
The largest vector
represents 1.32 m/s.
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(a) single axial entry burner (b)85-distributor cone burner
(Numbers indicate velocity in m/s)
Gas velocity fields in an industrial
flash converting furnace
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(a) single axial entry burner (b)85-distributor cone burnerNumbers indicate logarithm of number of particles per cubic meter
Particle number density in an industrial
flash converting furnace
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(a) single axial entry burner (b) 85-distributor cone burner
Gas temperature in an industrial
flash converting furnace
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(a)single axial entry burner (b)85-distributor cone burner
Oxygen concentration in an industrial
flash converting furnace
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Results for Flash Converting Experiment
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Results for Flash Converting Experiment
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Results for Flash Converting Experimen
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Nippon Mining and Metals Co. (Nikko)
Modified operating conditions to double their
feed rate (production rate) without changing
their furnace based on modeling results.
[Y. Yasuda did graduate work on CFD of flash furnaces at Utah.]
Suzuki, Y., Suenaga, C., Ogasawara, M., and Yasuda, Y., 1998, Productivity increase in flash smelting furnace operation atSaganoseki Smelter & Refinery, in Sulfide Smelting 98, Current and Future Practices, J.A. Asteljoki and R.L. Stephens, eds., TMS,Warrendale, PA, pp. 587-595.
Y. B. Hahn and H. Y. Sohn, Mathematical Modeling of Sulfide Flash Smelting Process: Part I. Model Development and Verificationwith Laboratory and PilotPlant Measurements for Chalcopyrite Concentrate Smelting, Metall. Trans. B, 21B, 945958 (1990).
An Example of Application
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Ready availability of CFD capabilityPowerful yet inexpensive computers
Commercial softwareNeed to learn how to use it
Like driving a car
Benefits:Optimal designImproved control and operationCan perform many test runs at low costs
Concluding Remarks
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End of Presentation