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http://elar.urfu.ru/handle/10995/75353
Название: | The analysis of the effect of iron-ore raw material composition on blast-furnace smelting parameters by the mathematical model method |
Авторы: | Pavlov, A. V. Onorin, O. P. Spirin, N. A. Polinov, A. A. Lavrov, V. V. Gurin, I. A. |
Дата публикации: | 2018 |
Издатель: | Institute of Physics Publishing |
Библиографическое описание: | 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. |
Аннотация: | 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. |
Ключевые слова: | 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://elar.urfu.ru/handle/10995/75353 |
Условия доступа: | info:eu-repo/semantics/openAccess gold |
Конференция/семинар: | 20th International Scientific and Research Conference - Metallurgy: Technologies, Innovation, Quality, Metallurgy 2017 |
Дата конференции/семинара: | 15 November 2017 through 16 November 2017 |
Идентификатор РИНЦ: | 38624999 |
Идентификатор SCOPUS: | 85056456512 |
Идентификатор PURE: | 8329872 |
ISSN: | 1757-8981 |
DOI: | 10.1088/1757-899X/411/1/012057 |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85056456512.pdf | 719,88 kB | Adobe PDF | Просмотреть/Открыть |
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