CONTROL, COMPUTING, AND INFORMATICS
CURRENT DATA SIMULATION SYSTEMS AND COMPOSITION CHOICE
FOR IRON ORE IN BLAST FURNACE PRODUCTION
N. A. Spirin,
A. I. Perminov,
V. V. Lavrov,
V. Yu. Rybolovlev,
A. V. Krasnobaev,
and I. A. Babin
Translated from Novye Ogneupory, No. 4, pp. 59 – 63, April, 2008.
Original article submitted January 15, 2007.
The paper gives a formulation of the task, the characteristics of the algorithm, and the features of the software
for selecting iron ore, calculating the best composition for the components in the agglomeration charge,
estimating blast parameters providing proper economy of coke, normal slag, blast parameters, and
gas-dynamic conditions. The software package is recommended for support to decisions for engineering staff
selecting sources of raw material, and also for selecting the working parameters of blast furnaces under
variable fuel and raw material conditions.
It is becoming increasingly obvious that algorithms and
software play a leading part in handling tasks in blast-
furnace production at the manufacturing execution systems
(MES) level in automated data systems for large metallur-
gical organizations in Russia. This is particularly so under
the conditions of market relationships, where Russian
metallurgical organizations work under particular stress and
instability in the market for iron ore and coking coals.
Scientifically sound decisions are essential in choosing the
suppliers for blast furnaces and determining the best
compositions for agglomeration charges, with the choice of
sound parameters for the slag, blast, gas-dynamic conditions,
This requires specialized software for a data-simulation
system for evaluating behavior of the furnace, which should
be based on mathematical models that incorporate the
physics of the blast-furnace process, the principles of heat
and mass transfer theory, the conservation of energy, and the
effects of technological and other standard characteristics of
the raw material on the blast-furnace melting parameters.
It is necessary to incorporate kinetic factors in the reduction
of the raw material in these furnaces and provide obedience
to characteristics laid down by state standards convenient for
technical staff on the basis of raising the accuracy and model
fit. The software includes the following models:
1) detailed calculations on the agglomeration and blast-
2) calculations on the economic parameters (consump-
tion of coke, throughput) when the parameters of the blast,
the properties of the coke, and the composition of the iron
3) calculations on the properties of the primary and final
slags, the sulfur-eliminating capacity of the final slag, and
the forecasts of sulfur content in the cast iron;
4) simulating the gas-dynamic conditions; and
5) diagnosing the course of the blast-furnace process.
Use is made of a natural-scale model approach to the
furnace state, where one uses actual data on the furnace state
to adjust the model parameters. Detailed descriptions have
been given [1 – 11] on the design principles for the realiza
tion, the area of application, and the basic working equations
for subsystems in the model dealing with the slag, blast,
gas-dynamic conditions, and heat conditions in the furnace,
with adaptation procedures for these subsystems.
A basic function of the simulation system is the compu
terized calculation of optimal compositions and consump
tions for the components, and also blast parameters provid
ing sound throughput and coke consumption, normal slag,
blast, and gas-dynamic conditions, and so on. This system
has two basic subsystems that are relatively independent but
are coupled: the blast furnace and the agglomeration process.
Two periods are selected in the blast furnace operation: basic
and design ones.
Refractories and Industrial Ceramics Vol. 49, No. 3, 2008
1083-4877/08/4903-0221 © 2008 Springer Science+Business Media, Inc.
OUVPO Urals State Technical University – Urals Polytechnical
Institute and Magnitogorsk Metallurgical Corporation, Russia.