Simulation of Burden distribution in an Ironmaking blast furnace Tamoghna Mitra Thermal & Flow Engineering Laboratory, Åbo Akademi University. SIMP program, Showcase 3 Steel industry Raw materials DRI ironmaking Blast Furnace ironmaking Iron oxide Iron (5% C) Steelmaking 70 %* Steel (0.05 -1% C) Downstream * worldsteel.org Semi-finished products Blast Furnace Ironmaking 2C+O2→2CO Fe2O3+CO→Fe+CO2 Iron ore (Fe2O3), Coke, flux CO, CO2 Oxygen Hot metal, Slag Importance of BF research 1.255 t CO2/t steel a c World per capita energy consumption c Direct CO2 emissions in industry by sector, 2007 b 69 % of all steel mill emissions!!! b a. b. 0.569 t coal/t steel a c. d. Birat, “Steel and CO2 – the ULCOS Program, CCS and Mineral Carbonation using Steelmaking Slag” International Energy Agency, “Energy, Technology, Perspectives: Scenarios & strategies to 2050”, 2010. Organisation for Economic Co-operation and Development, “Steelmaking raw materials: Market and policy developments”, 2012 Gail Tverberg, “Can We Expect The Economy To Keep Growing?”, 2012 Burden distribution: Raw material charging Layered structure – slowly descending burden – rising reducing gas from below Rings of ore and coke Charging program– (material, amounts, position) effects the radial distribution of ore and coke Effect on gas distribution – – Coke: High porosity Ore: Low porosity Effect on thermal conditions – – Coke: Low density Ore: High density Effect on the formation of deadman (stagnant region of coke at the bottom) and the coke slits (Regions of high porosity coke in the less permeable ore regions of cohesive zone AIM: Understand the effects of different burden distribution programs on the gas distribution and furnace performance Burden distribution simulation Multi-physics models Mathematical models – – – – Simple Fast Fairly accurate Good for designing charging programs – Evaluate overall conditions – We use in-house code (BURDEN) Experimentation using scaled models – – – – Slow Expensive Scalability of results Limited insight of the layer structure – Good for validation – We use 1:10 scaled experimental setup – Complicated: Particle-particle and particle-gas interactions – Slow – Very accurate – Good for developing understanding – Evaluate local phenomena – We use Discrete Element Modelling. BURDEN (Burden distribution program) Burden distribution effects (Results from BURDEN) 2 (m) 2 dinate (m) 200 0 -2 -4 -2 0 0 2 2 -2 0 2 RadialRadial coordinate (m) (m) coordinate -6 0.5 1 4 600 -6 -8 5 00.5 -8 -4-2 -2 0 0 2 2 4 400 coordinate RadialRadial coordinate (m) (m) -8 -2 0 2 0 200 4 10 Radial -4 coordinate -2 0 (m) 2 4 -2 0 2 Radial coordinate (m) Radial coordinate (m) 0.5 0 -2 10 -4 0 2 -2 0 2 -2 0 2 coordinate (m) Radial coordinate (m) Radial coordinate (m) 10 4 800 -6 0.5 400 Radial Height (m) Ore/(Ore+Coke) Ore/(Ore+Coke) 0 -8 600 1 5 0.5 -4 0 -2 0 2 Radial coordinate (m) 1 200 4 4 800 0.5 600 0.5 05 -2 0 2 -4 -2 0 2 4 400 Radial coordinate (m) Radial coordinate (m) 0 10-4 -2 0 2 -2Radial 0 coordinate 2 (m) Radial coordinate (m) 200 4 800 800 1 600 600 5 5 400 400 0 -410 -2 0 2 -2 0 2 Radial coordinate (m) 10 -2 coordinate 0 2 (m) Radial 1 Radial coordinate (m) 0.5 0 0 0 5 -45 Height (m) 0.5 Ore/(Ore+Coke) Height (m) Ore/(Ore+Coke) 10 -6 400 -8 Radial 1 0 coordinate (m) 4 -2 02 2 -2-4 0 Radial coordinate Radial coordinate (m) (m) Height (m) Height Height (m) (m) 2 (m) 600 Height Ore/(Ore+Coke) (m) Ore/(Ore+Coke) -8 -6 2 2 dinate (m) (m) Height (m) Ore/(Ore+Coke) Ore/(Ore+Coke) Height (m) Height (m)(m) Height 2 (m) -6 1 50.5 800 1 Ore/(Ore+Coke) Height Height(m) (m) 800 1 0 0 200 4 200 1 R 800 800 600 600 -2 0 2 Radial coordinate (m) 10 -2 0 2 10 -2 0 2 (m) Radial coordinate Radial coordinate (m) 4 400 400 200 200 Gas temperature (deg C) Height (m) 0 Ore/(Ore+Coke) Height (m) Height (m) 0 1 R Discrete Element Modeling Originally introduced by Cundall and Strack (1979) Lagrangian method Similar to Molecular dynamics Explicit calculations Solid particles undergo translation and rotation Satisfy Newton’s second law – Spring and dashpot model Soft sphere model 30.11.2015 Åbo Akademi University | Domkyrkotorget 3 | 20500 Åbo | Finland 9 Case 1: Mixed layer formation Mixed layers Regions of low permeability of gases Due to difference in particle sizes – Coke ~ 50 mm diameter – Pellet ~ 12 mm diameter ~4x Small particles occupy the space in-between the larger ones. Irregular shape of the coke particles increases the effect Especially important as the coke rate is decreases and injection increases because of thinner layers. This needs to be accounted for during gas flow calculations Ore layer Mixed layer Coke layer DEM simulation Simulation for 1:10 scale experimental setup Voidages Mean layer thickness (cm) Layers Mixed layer Mean voidage Simulatio n Experiment Simulation Pellet 4.54 4.58 0.509 Center coke - - - Small coke 3.15 1.83 0.505 Large coke 1.97 2.62 0.458 Coke (overall) 4.43 4.45 0.474 Pellet & Small coke 1.11 - 0.445 Large coke & Small coke 0.68 - 0.439 Case 2: Coke collapse effect Radar Coke collapse Influences the radial variation of volumetric ore-to-coke fractions Profile measurements using a radar may be misleading Difficult to quantify without multi-physics simulation Coke dump ~4x Measured height – Ore ~ 2200 kg/m3, bulk density – Coke ~ 500 kg/m3, bulk density Ore dump Radial distance Actual height Deformation of the coke layer when ore layer is charged on top of it, especially at higher angles. Mainly due to the difference in densities of the two kinds of charged materials Radial distance Coke collapse experiment and DEM simulation *2 million particles Slope stability using “Method of Slices” Use “Method of slices” to quantify the coke collapse during charging. Thereafter improve the mathematical model to take into account this issue, for more realistic results. Calculate the factor of safety for a slope under loading conditions. Change the slope until a safe factor is reached Conclusions and Future work DEM may be used to have a greater insight on the burden charging operation in a blast furnace. Mixed layer formation has been modelled and quantified for small scale experimental setup, in future the same study would be done for a full scale simulation. Coke collapse has been observed using both simulation and experiment. In future, it would be quantified using the “Method of slices”. Results from the DEM will be used to modify the simplified burden distribution model. (BURDEN)
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