Mathematical Model of Forecasting the Iron Ore Materials and Coke Quality Indicators-Reference-Cited by-同舟云学术

Mathematical Model of Forecasting the Iron Ore Materials and Coke Quality Indicators

Published:2011-04 Issue: Volume:312-315 Page:1198-1203
ISSN:1662-9507
Container-title:Defect and Diffusion Forum
language:
Short-container-title:DDF

Author:

Dmitriev A.N.¹,Chesnokov Yu.A.¹,Arzhadeeva G.Yu.¹,Lazebnaya Yu.P.¹

Affiliation:

1. Russian Academy of Sciences

Abstract

The iron ore raw materials and coke quality is the basic reserve of improvement of blast furnace technology. Some of the quality indicators of iron ore raw materials and coke and their influence on the main parameters of the blast furnace smelting are considered in this paper.

Publisher

Trans Tech Publications, Ltd.

Subject

Condensed Matter Physics,General Materials Science,Radiation

Link

https://www.scientific.net/DDF.312-315.1198.pdf

Reference13 articles.

1. A.N. Dmitriev: Defect and Diffusion Forum. Vols. 258-260 (2006), p.91.

2. N.S. Shumakov, A.N. Dmitriev, O.G. Garaeva: Raw materials and fuel of blast furnace (characteristic and preparation methods). Ekaterinburg (2007).

3. A.N. Dmitriev: Heat and mass transfer in blast furnace in conditions of non-uniform movement of material and gas. Proceedings of The First International Conference on Diffusion in Solids and Liquids DSL-2005, July 6-8, 2005, University of Aveiro, Aveiro, Portugal. Vol. I (2005).

4. A.N. Dmitriev, N.S. Shumakov, L.I. Leontiev, O.P. Onorin: Principles of the theory and technologies of a blast furnace smelting. Ekaterinburg (2005).

5. A.V. Chentsov, Yu.A. Chesnokov, S.V. Shavrin: Logic-statistic balance model of blast furnace smelting process. Ekaterinburg (2003).

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