scholarly journals Application of computer training systems for qualification perfection of technological personal of blast furnace shops

2019 ◽  
Vol 75 (4) ◽  
pp. 448-453
Author(s):  
S. V. Filatov ◽  
A. I. Dagman ◽  
S. V. Myasoedov ◽  
S. A. Zagainov ◽  
L. Yu. Gileva
Keyword(s):  
Blast Furnace ◽  
Thermal State ◽  
Computer Training ◽  
Transient Processes ◽  
Effective Control ◽  
State Control ◽  
Hot Metal ◽  
Size Change ◽  
Heat And Mass Exchange ◽  
Training Systems

Effective control of thermal state of a blast furnace (BF), considerably depending on the qualification of the technological personal, is an important condition for smelting of hot metal of required composition. Application of computer training systems (CTS) in the process of education of technological personal of BF shops is one of the effective methods of professional knowledge and skill perfection. The CTS, implemented at PAO NLMK, based on a model of thermal state of BF, elaborated in Ural Federal University and supplemented with the models of existing disturbances. Adjusting of dynamic characteristics accomplished on the base of regularity of heat- and mass exchange. According to the tasks of BF heat operative control, during the training at the CTS transient processes are studied through channels of BF thermal state control, skill is mastered to identify the tendencies of BF thermal state change in case of non-controlled disturbances action. Most important stage of the training – implementation of adequate solutions to compensate declination of BF thermal state parameters from the set-up level. The CTS implemented at PAO NLMK is operating in the mode of training and testing. The main parameters of BF operation for every particular scenario are displayed at a mnemonic diagram, which completely corresponds to the mnemonic diagram of particular BF. Within the frame of transient processes dynamics studies, tasks are stipulated to modify a BF thermal state by application of control programs. When a scenario of BF thermal state control in case of non-controlled disturbances action is realized, the process parameters change is imitated at the mnemonic diagram. It will be done in case of one of the following parameters change: coke quality change, reducibility change, iron ore material grain size change, distribution of ore by radius change. The CTS includes a module of administration, which allows collecting the statistics of tasks fulfilment by pupils and estimating the results according to accepted algorithm. The application of CTS enabled to perfect the competence of technological personal, which was expressed by declining of off-grade hot metal share.

Study of transient processes in a blast furnace based on the heat exchange scheme analysis

2020 ◽  
Vol 76 (2) ◽  
pp. 132-138
Author(s):  
N. A. Spirin ◽  
O. P. Onorin ◽  
A. S. Istomin ◽  
I. A. Gurin
Keyword(s):  
Heat Transfer ◽  
Blast Furnace ◽  
Heat Exchange ◽  
Natural Gas ◽  
Iron Ore ◽  
Thermal Conditions ◽  
Transient Processes ◽  
Hot Metal ◽  
Ore Load ◽  
Hot Blast

A blast furnace is a complicated metallurgical facility, which is characterized by considerable delay and inertia in the flow of heat and mass exchange. Therefore, the analysis of transient processes based on modern ideas about heat transfer is an important issue in solving technological problems of blast furnace smelting managing. A two-stage heat transfer scheme along the height of a blast furnace of modern technology presented. When studying the thermal state of a blast furnace as a control object, it is advisable to divide it into two thermal zones - the upper zone and the lower zone. The border between the zones is located in the upper part of the mixed reduction region, between the start level of coke carbon gasification and the horizon below which iron oxides are directly reduced. It was shown, that the upper and lower thermal zones have fundamental differences in heat exchange conditions and are interconnected through the index of iron direct reduction degree. The transient processes of silicon variation in the hot metal studied at variation of iron ore load, natural gas flow rate, temperature and humidity of the hot blast, oxygen content in the hot blast and slag basicity. It was shown that the oscillatory transition process is observed in case, after applying the perturbation, it will have the opposite effect on the thermal conditions of the lower and the upper stages of heat exchange in the blast furnace. The iron ore load, hot blast humidity and slag basicity were found to be the most predictable input parameters affecting the concentration of silicon in hot metal. Change in oxygen concentration in hot blast and natural gas consumption have an alternating character of influence on thermal conditions of the blast-furnace hearth. At that, the characteristics of the transient processes of blast furnaces through various channels of action vary and depend significantly on the properties of the smelted raw materials, design and operational parameters of the furnaces

Forecasting Thermal State in Blast Furnace Using Fuzzy Prediction Controller Optimized by Wavelet De-Noising

2010 ◽  
Vol 439-440 ◽  
pp. 1612-1617
Author(s):  
Shi Hua Luo
Keyword(s):  
Blast Furnace ◽  
Wavelet Analysis ◽  
Silicon Content ◽  
Thermal State ◽  
Numerical Data ◽  
Hot Metal ◽  
Input And Output ◽  
Simulation Results ◽  
Fuzzy Regions ◽  
Output Space

A new fuzzy prediction controller is established to prediction for silicon content in blast furnace hot metal. The forecasting process is only used the historical information of silicon content. This new algorithm consists of five steps: step 1 de-noises silicon content numerical data by wavelet analysis to smooth out noise; step 2 divides the input and output spaces of the de-noising numerical data into fuzzy regions; step 3 generates fuzzy rules from the de-noising data; step 4 assigns a degree to each of the generated rules for the purpose of resolving conflicts among the generated rules; step 5 determines a fuzzy prediction controller from input space to output space based on such rules. Simulation results show that: 84% hit rates of prediction in the range of [Si] 0.1% is attained using the prediction controller.

Prediction of Blast Furnace Thermal State in Real-Time Operation

2020 ◽  
Vol 299 ◽  
pp. 518-523
Author(s):  
Nikolay Spirin ◽  
Oleg Onorin ◽  
Alexander Istomin
Keyword(s):  
Blast Furnace ◽  
Gas Flow ◽  
Thermal State ◽  
General Description ◽  
Blast Furnaces ◽  
Hot Metal ◽  
Blast Furnace Smelting ◽  
Transition Processes ◽  
Control Actions ◽  
Time Operation

The paper gives a general description of the dynamic model of the blast-furnace process that enables to calculate transition processes of the blast furnace thermal state, evaluated by the content of silicon in hot metal. It provides calculation results of the transition processes to be subjected to changes in control actions: ore load from the top and oxygen concentration in blast, natural gas flow rate and hot blast temperature from the bottom. Specific features of these transition processes during blast-furnace smelting are analyzed. The paper shows that the dynamic characteristics of blast furnaces change are subjected to control actions and depend significantly on properties of melted raw materials and operating parameters of blast furnaces. The oscillatory transition process in the blast furnace is observed in the case after disturbance it has an opposite influence on the thermal state of the lower and uppers stages of heat exchange. The paper presents prediction results of the silicon content in hot metal. It gives practical recommendations for selection of control actions.

Prediction Modeling of Hot Metal Silicon Content in Blast Furnace Based on PSO-LSSVM

2013 ◽  
Vol 721 ◽  
pp. 461-465 ◽  
Author(s):  
Long Hui Wang ◽  
Song Gao ◽  
Xing Qu ◽  
Yao Geng Tang
Keyword(s):  
Blast Furnace ◽  
Silicon Content ◽  
Thermal State ◽  
Steel Tube ◽  
Least Square ◽  
Support Vector ◽  
Neural Network Modeling ◽  
Model Parameters ◽  
Stable Operation ◽  
Hot Metal

The hot metal silicon content is important for the quality of the iron, but also as an indicator of the thermal state of the furnace. In order to stable operation of the blast furnace, a model is needed to predict hot metal silicon content more accurately. Towards this goal, a model based on least square support vector machine (LSSVM) is developed to model and predict hot metal silicon content, particle swarm optimization (PSO) is adopted to search the optimal set of the LSSVM model parameters. Prediction experiment is conducted based on the data obtained from a blast furnace past operation records in a steel tube plant and being preprocessed in several different ways. The experimental results show that the proposed methods yielded more accurate predictions than the neural network modeling methods.

scholarly journals Utilization of Organic Mixed Biosludge from Pulp and Paper Industries and Green Waste as Carbon Sources in Blast Furnace Hot Metal Production

2021 ◽  
Vol 13 (14) ◽  
pp. 7706
Author(s):  
Tova Jarnerud ◽  
Andrey V. Karasev ◽  
Chuan Wang ◽  
Frida Bäck ◽  
Pär G. Jönsson
Keyword(s):  
Blast Furnace ◽  
Carbon Sources ◽  
Hydrothermal Carbonization ◽  
Pulp And Paper ◽  
Hot Metal ◽  
Technological Parameters ◽  
Metal Production ◽  
Green Waste ◽  
Fuel Rate ◽  
Pulp And Paper Industries

A six day industrial trial using hydrochar as part of the carbon source for hot metal production was performed in a production blast furnace (BF). The hydrochar came from two types of feedstocks, namely an organic mixed biosludge generated from pulp and paper production and an organic green waste residue. These sludges and residues were upgraded to hydrochar in the form of pellets by using a hydrothermal carbonization (HTC) technology. Then, the hydrochar pellets were pressed into briquettes together with commonly used briquetting material (in-plant fines such as fines from pellets and scraps, dust, etc. generated from the steel plant) and the briquettes were top charged into the blast furnace. In total, 418 tons of hydrochar briquettes were produced. The aim of the trials was to investigate the stability and productivity of the blast furnace during charging of these experimental briquettes. The results show that briquettes containing hydrochar from pulp and paper industries waste and green waste can partially be used for charging in blast furnaces together with conventional briquettes. Most of the technological parameters of the BF process, such as the production rate of hot metal (<1.5% difference between reference days and trial days), amount of dust, fuel rate and amount of injected coal, amount of slag, as well as contents of FeO in slag and %C, %S and %P in the hot metal in the experimental trials were very similar compared to those in the reference periods (two days before and two days after the trials) without using these experimental charge materials. Thus, it was proven that hydrochar derived from various types of organic residues could be used for metallurgical applications. While in this trial campaign only small amounts of hydrochar were used, nevertheless, these positive results support our efforts to perform more in-depth investigations in this direction in the future.

Adjustment of a technology of cast iron smelting in the blast furnace of jsc "ural steel" w ith a volume of 1232 см3 with charge h a v in g 95% share of Mikhailovskii GOK pellets

2021 ◽  
Vol 77 (7) ◽  
pp. 768-775
Author(s):  
I. F. Iskakov ◽  
G. A. Kunitsyn ◽  
D. V. Lazarev ◽  
А. А. Red`kin ◽  
S. A. Trubitsyn ◽  
...  
Keyword(s):  
Blast Furnace ◽  
Iron Ore ◽  
Raw Materials ◽  
Raw Material ◽  
Material Base ◽  
Hot Metal ◽  
Charging System ◽  
Iron Smelting ◽  
Gas Consumption ◽  
A Charge

To use effectively internal raw material base, JSC “Ural Steel” accomplished I category major overhaul of the blast furnace No. 2. The main purpose of the overhaul was to design a rational profile which could ensure an ability to operate with a charge containing 95 % of Mikhailovskii GOK (mining and concentrating plant) pellets having basicity of 0.5 by CaO/SiO2. The blast furnace No. 2 having useful volume of 1232 m3, was constructed by design of Danieli Corus, the Netherlands, and was blown in on December 30, 2020. In the process of guarantee tests, step-by-step increase of Mikhailovskii GOK pellets (Fetotal = 60.5 %, CaO/SiO2 = 0.5) content in the charge iron ore part was being accomplished from 55 to 95.1%. Charging of the blend containing pellets in the amount of 55% of iron ore part, was done by charging system 4OOCC + 1COOCC (Ore - Coke) with filling level 1.5 m. Under conditions of pellets part increase in the blend, the charging system was changed to decrease their content at the periphery, to increase it in the ore ridge zone and make it intermediate between periphery and the ore ridge. At the pellets share in the iron ore raw materials 0.75 the charging system was used as the following: 3OOCC + 1COOC + 1COOCC, while at the content 95.1% the following charging system was used: 2COOC + 2COOC + 1COOCC. It was noted that in the period of guarantee tests the furnace running was smooth. The average silicon content in the hot metal was 0.70% at the standard deviation 0.666. Sulfur content in the hot metal did not exceed 0.024%, the blowing and natural gas consumption figures were 2100 m3/min and 11000 m3/min correspondently, oxygen content in the blowing 26.5%, hot blowing and top smoke pressure figures were 226.5 and 109.8 KPa correspondently. The productivity of the furnace was reached as high as 2358 t/day at the specific coke rate 433 kg/t of hot metal. After guarantee tests completion, the pellets content in the iron ore part was decreased gradually from 95 down to 50%. The decreasing was made by 5% in every 6 hours of operation. Application of the mastered technology of the blast furnace No. 2 with the increased share of pellets will enable to stably supply the blast furnaces No. 1, 3 and 4 by iron ore raw materials in the proportion of 30-35% of pellets and 65-70% of sinter.

scholarly journals Effective Desiliconization Method with Swirling Flow of Hot Metal at Blast Furnace Casthouse

2015 ◽  
Vol 101 (9) ◽  
pp. 471-478
Author(s):  
Yu-ichi Uchida ◽  
Yasuo Kishimoto ◽  
Yuji Miki ◽  
Tetsuro Uchida ◽  
Ryuji Tsutsumi ◽  
...  
Keyword(s):  
Blast Furnace ◽  
Swirling Flow ◽  
Hot Metal

scholarly journals Monitoring Liquid Level of Blast Furnace Hearth and Torpedo Ladle by Electromotive Force Signal

Metals ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 665 ◽  
Author(s):  
Ying Li ◽  
Lei Zan ◽  
Yao Ge ◽  
Han Wei ◽  
Zhenghao Zhang ◽  
...  
Keyword(s):  
Blast Furnace ◽  
Electromotive Force ◽  
Thermal State ◽  
Single Layer ◽  
Graphite Crucible ◽  
The State ◽  
Liquid Level ◽  
Double Layers ◽  
Furnace Hearth ◽  
Blast Furnace Hearth

The state of a blast furnace hearth, especially the liquid level of hot metal and slag during the tapping process, is of crucial importance with respect to a long campaign blast furnace. In practice, the state of the hearth is evaluated mainly by the experience of operators. In this paper, the electromotive force (EMF) is used to monitor the liquid level of a laboratory scale of blast furnace hearth and the effect of liquid level, EMF sensors position and the thickness of refractory on EMF signals are tested using a single layer of water and double layers of water and oil. After laboratory experiments, the electromotive force (EMF) is used to monitor the liquid level of torpedo ladle successfully. Laboratory experimental results show that the change in liquid level can be characterized by EMF signal. The state of liquid surface and local thermal state cause the EMF signal to vary in the circumferential direction of the vessel. Furthermore, the EMF signal magnitude decreases with the decrease of the thickness of the graphite crucible. Finally, the main conclusions of the laboratory experiment are supported by the torpedo ladle experiment.

scholarly journals Effective Desiliconization Method with Swirling Flow of Hot Metal at Blast Furnace Casthouse

2016 ◽  
Vol 56 (6) ◽  
pp. 986-994 ◽  
Author(s):  
Yu-ichi Uchida ◽  
Yasuo Kishimoto ◽  
Yuji Miki ◽  
Tetsuro Uchida ◽  
Ryuji Tsutsumi ◽  
...  
Keyword(s):  
Blast Furnace ◽  
Swirling Flow ◽  
Hot Metal
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