Mathematical Model of Forecasting the Coke Quality Indicators

Andrey N. Dmitriev; Yu.A. Chesnokov; G.Yu. Arzhadeeva

doi:10.4028/www.scientific.net/DDF.297-301.1290

Paper Titles

Modelling Moisture Uptake by Binary Mixtures of Products Packaged in Polymeric Films
p.1256

Effects of Milling Time and Impact Force on the Mutual Diffusion of Cu and Fe during Synthesis of Nanostructured Fe-50%Cu Alloy via Mechanical Alloying Process
p.1262

Diffusion at Short Circuits: State of the Art
p.1267

Properties and Characterization of Hard Coatings Obtained by Boriding: An Overview
p.1284

Mathematical Model of Forecasting the Coke Quality Indicators
p.1290

Influence of Elements Oxides Microadditives with Major Cationic Radius on Properties of Silicate Bundle
p.1295

Isotope Exchange of Gaseous Oxygen with Oxide LaMno_3+δ Nanograins Boundary
p.1301

Structural Phase Transitions in Mechanoactivated Manganese Oxides
p.1306

Structure and Thermal Stability of Cu after Severe Plastic Deformation
p.1312

HomeDefect and Diffusion ForumDefect and Diffusion Forum Vols. 297-301Mathematical Model of Forecasting the Coke Quality...

Mathematical Model of Forecasting the Coke Quality Indicators

Abstract:

A mathematical model for the forecasting of the basic metallurgical properties of coke depending on the quality indicators of coals and carbonization parameters is developed. The base of the model are the theoretical and statistical dependences of the physico-chemical and petrographic properties of initial coals on the reactivity and mechanical strength of the coke. These indicators depend on diffusion processes during carbonization. On the basis of initial data, the material and heat balance of the coking process are made and the product price is calculated. The full-function program includes: the initial database interactively formed on the basis of the coals quality certificates and concentrates; the calculating unit of forecasting of the coke properties, allowing to fulfil the mathematical model adapting for the concrete industrial conditions of carbonization process; the unit to calculate results. The calculated values, i.e. the Coke Reactivity Index (CRI) and the Coke Strength after Reaction (CSR) can be used further for technical and economical calculations in the balance logic-statistic model of the blast furnace smelting operation. Or using the feedback, it is possible to calculate necessary relations of the burden components for the carbonization.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Defect and Diffusion Forum (Volumes 297-301)

Pages:

1290-1294

DOI:

https://doi.org/10.4028/www.scientific.net/DDF.297-301.1290

Citation:

Cite this paper

Online since:

April 2010

Authors:

Andrey N. Dmitriev, Yu.A. Chesnokov, G.Yu. Arzhadeeva

Keywords:

Coke Quality Indicator, Coke Reactivity Index, Diffusion, Mathematical Models

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] A.V. Chentsov, Yu.A. Chesnokov, S.V. Shavrin. The logic-statistic balance model of blastfurnace smelting process. Second edition. Ekaterinburg, UB of RAS (2003).

Google Scholar

[2] H. Suginobe, T. Miyagawa et al.: Transactions ISIJ Vol. 23 (1983), p.417.

Google Scholar

[3] M.A. Dı´ez, R. Alvarez, C. Barriocanal: Int. J. Coal Geology, Vol. 50 (1990), p.389.

Google Scholar

[4] M.L. Ulanovskii, D.V. Miroshnichenko: Coke and Сhemistry Vol. 50 (2007), p.94.

Google Scholar

[5] P.A. Schukin. Research properties of metallurgical coke. Moscow, Metallurgy (1971).

Google Scholar

[6] N. Nakamura, Y. Togino, T. Tateoka: Behaviour of coke in large blast furnace. Coal, Coke and Blast Furnace. The Metals Society, London (1977) pp.1-18.

Google Scholar

[7] R.R. Thompson , L.G. Benedict: Iron and Steelmaker № 3 (1976), p.21.

Google Scholar

[8] H.S. Valia: Iron and Steelmaker Vol. 5 (1989), p.77.

Google Scholar

[9] Reduction, heat exchange and hydrodynamics in blast furnace process. Part I. Transactions of Institute Metallurgy of UB of RAS, Sverdlovsk, Vol. 24 (1977).

Google Scholar

[10] Yu. A. Chesnokov, A.V. Chentsov, S.V. Shavrin et al.: Definition coefficients of interchangeability coke with model blast furnace process. In: Preprint Mathematical modeling of blast furnace process,. Institute Metallurgy of UB of RAS, Ekaterinburg (1994).

Google Scholar

[11] R. Sharma, P. S. Dash, P. K. Banerjee and D. Kumar: ISIJ International Vol. 45 (2005), p.1820.

Google Scholar

[12] M. Grigore, R. Sakurovs, D. French, V. Sahajwalla: ISIJ International Vol. 46 (2006), p.503.

Google Scholar

[13] H. Yamaoka, S. Suyama: ISIJ International Vol. 43 (2003), p.338.

Google Scholar