Prediction of burden distribution and electrical resistivity in submerged arc furnaces using DEM modelling
DOI:
https://doi.org/10.17159/Abstract
To study segregation and the corresponding electrical behaviour of the burden layer within a submerged arc furnace (SAF) used in the production of ferrochrome, a computational model of the furnace system is presented to investigate the degree to which intrinsic and extrinsic properties of the raw materials and furnace configuration affects burden distribution and electrical resistivity within a SAF. The model used as the basis of the study is built on discrete element method to calculate the mechanical interactions of particle distributions resulting from the flow motion of typical raw materials used in the smelting of ferrochromium ore. This model excludes the effects of thermodynamics, furnace chemistry and heat transfer. The model illustrates how the consumption of materials (chromite pellets, quartz and coke) are affected by the change in electrode length, coke fractions and coke sizing during the formation of a coke bed. The resistance calculation algorithm developed by Mintek was applied to construct networks developed from particle contacts, which can quantitively generate estimates of the electrode-to-electrode and electrode-to-bath electrical conduction conditions.
Keywords: submerged arc furnace, resistivity, ferrochrome, segregation
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