Software for the raw-materials management system in blast-furnace smelting / Spirin N.A., Lavrov V.V., Kosachenko I.E., Onorin O.P., Istomin A.S., Burykin A.A., Shchipanov K.A. // Metallurgist. - 2015. - V. 59, l. 1. - P. 104-112.

ISSN:
00260894
Type:
Article
Abstract:
A description is presented of an information-modeling system developed to help optimize the composition of the charge materials and fluxes in sintering and blast-furnace smelting. The system is based on models that provide for end-to-end accounting of the sintering-machine and blast-furnace charges, calculate the technical-economic indices of blast-furnace smelting (coke rate, productivity) when there are changes in the blast parameters, the properties of the coke, and the composition of the iron-ore-bearing part of the charge, calculate the properties of the primary and secondary slags and the desulfurizing ability of the final slag, predict the sulfur content of the pig iron; model the gasdynamic regime during smelting, and diagnose the course of the smelting operation. The software that has been developed is designed to automate the work station of production personnel in the blast-furnace shop at the Magnitogorsk Metallurgical Combine. © 2015 Springer Science+Business Media New York
Author keywords:
Blast-furnace smelting; Iron-ore-bearing raw materials; Mathematical modeling; Smelting parameters
Index keywords:
Blast furnaces; Curricula; Fluxes; Iron; Iron ores; Mathematical models; Sintering; Slags; Blast-furnace smelting; Charge materials; Information Modeling; Magnitogorsk metallurgical combines; Material
DOI:
10.1007/s11015-015-0068-7
Смотреть в Scopus:
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943359543&doi=10.1007%2fs11015-015-0068-7&partnerID=40&md5=d6c9e8f73c1b4c20268a7f56857c3fbe
Соавторы в МНС:
Другие поля
Поле Значение
Art. No. A015
Link https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943359543&doi=10.1007%2fs11015-015-0068-7&partnerID=40&md5=d6c9e8f73c1b4c20268a7f56857c3fbe
Affiliations Ural Federal University, Ekaterinburg, Russian Federation; Magnitogorsk Metallurgical Combine, Magnitogorsk, Russian Federation; Ural Institute of Metals, Ekaterinburg, Russian Federation
Author Keywords Blast-furnace smelting; Iron-ore-bearing raw materials; Mathematical modeling; Smelting parameters
References Yagi, J., “Mathematical model of blast furnace progress and application to new  technology development (2012) 6Th Int.Congr. On the Science and Technology of Ironmaking – ICSTI, 42Nd Int. Meeting on Ironmaking and 13Th Symp. On Iron Ore, pp. 1660-1674. , Rio de Janeiro, Brazil, Oct. 14–18; Omori, Y., (1987) Blast Furnace Phenomena and Modeling, , Elsevier Applied Science, London and New York; Vapaavuori, E., Application of expert systems and knowledge based systems to support operation of iron blast furnace (1997) Expert Syst. Applic, 12 (2), 2p; Ueda, S., Natsui, S., Ariyama, T., Recent progress and future perspective on mathematical modeling of blast furnace (2010) ISIJ Int, 50 (7), pp. 914-923; Matsuzaki, S., Nishimura, T., Shinotake, A., Development of mathematical model of blast furnace (2006) Nippon Steel Techn. Rep, 94, pp. 87-95; Hera, P., Birlan, F., Oprescu, I., Modeling of metallurgical continuous processes in the blast furnace (2011) U.P.B. Sci. Bull., Ser. B, 73 (4), pp. 171-182; Yusfin, Y.S., (2004) Metallurgy of Pig Iron, , IKTs Akademkniga, Moscow; Spirin, N.A., Lavrov, V.V., Rybolovlev, V.Y., (2011) Model Systems for the Support of Decision-Making in the Automated Process Control System of Blast Furnaces, , UrFU, Ekaterinburg; Onorin, O.P., Spirin, N.A., Terent’Ev, V.L., (2005) Computerized Methods of Modeling Blast-Furnace Smelting, , UGTU-UPI, Ekaterinburg; Lavrov, V.V., Spirin, N.A., Burykin, A.A., Devyatykh, E.A., Informationmodeling System for Optimizing the Blast-Furnace Charge, , Comp. Progr. Cert. No. 2013617315, subm. 11.18.2011, registr. 08.08.2013 (RF); Tovarovskii, I.G., Bol’Shakov, V.I., Merkulov, A.E., (2011) Analytical Studies of Blast-Furnace Smelting, , ChMP Ekonomika, Dnepropetrovsk; Emel’Yanov, S.V., Korovin, S.K., Myshlayev, L.P., (2008) Theory and Practice of Prediction in Control Systems, , Univ., Kuzbassvuzizdat–ASTSh; Odintsov, I.O., Professional Programming. Systems Approach, , BKhV-Peterburg, St. Petersburg (2004), 2nd ed
Publisher Springer New York LLC
Language of Original Document English
Abbreviated Source Title Metallurgist
Source Scopus