Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/75353
Title: The analysis of the effect of iron-ore raw material composition on blast-furnace smelting parameters by the mathematical model method
Authors: Pavlov, A. V.
Onorin, O. P.
Spirin, N. A.
Polinov, A. A.
Lavrov, V. V.
Gurin, I. A.
Issue Date: 2018
Publisher: Institute of Physics Publishing
Citation: The analysis of the effect of iron-ore raw material composition on blast-furnace smelting parameters by the mathematical model method / A. V. Pavlov, O. P. Onorin, N. A. Spirin et al. // IOP Conference Series: Materials Science and Engineering. — 2018. — Vol. 411. — Iss. 1. — 12057.
Abstract: The paper considers capabilities of the developed model-based decision support system (URFU-MMK model of the blast-furnace process) for diagnostics of operation and prediction of production situations at blast furnaces. It presents some results of practical application of the developed system and it also gives recommendations for certain aspects of process task solving on the basis of the model-based decision support system. It presents calculation results of blast furnace operation with a high portion of non-fluxed pellets from Sokolovsk-Sarbay Ore Mining and Processing Group in burden of MMK's blast furnaces with different content of local sinter. It shows that with a higher portion of non-fluxed pellets (up to 60%) in the charged burden it is necessary to charge limestone in the furnace to achieve the required basicity of blast-furnace slag. In order to reduce the amount of crude limestone to be charged, it is necessary to produce sinter of high basicity. As far as the portion of pellets in the charged burden increases, concentration of magnesia in blast-furnace slag decreases. To increase concentration of magnesium oxides in slag, it is efficient to use combined basic flux consisting of 70% normal limestone and 30% dolomite limestone. © Published under licence by IOP Publishing Ltd.
Keywords: ARTIFICIAL INTELLIGENCE
BLAST FURNACE PRACTICE
DECISION SUPPORT SYSTEMS
IRON ORES
LIME
LIMESTONE
MAGNESIA
METALS
ORE ANALYSIS
ORE PELLETS
PELLETIZING
SINTERING
SLAGS
SMELTING
BLAST FURNACE OPERATION
BLAST FURNACE PROCESS
BLAST-FURNACE SMELTING
CALCULATION RESULTS
DEVELOPED MODEL
MODEL-BASED OPC
NON-FLUXED PELLETS
RAW MATERIAL COMPOSITION
BLAST FURNACES
URI: http://hdl.handle.net/10995/75353
Access: info:eu-repo/semantics/openAccess
Conference name: 20th International Scientific and Research Conference - Metallurgy: Technologies, Innovation, Quality, Metallurgy 2017
Conference date: 15 November 2017 through 16 November 2017
RSCI ID: 38624999
SCOPUS ID: 85056456512
PURE ID: 8329872
ISSN: 1757-8981
DOI: 10.1088/1757-899X/411/1/012057
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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