CONTRIBUTION OF THE CHAIR OF FERROUS METALLURGY TO THE DEVELOPMENT OF THE THEORY AND TECHNIQUE OF HIGH-TEMPERATURE MODELING OF CONVERTER BATH BLOWING

The aim of the study is to study the characteristics of physicochemical processes in the cavity of an oxygen converter when purging a bath through two-tier tuyeres of various designs. The analysis showed that the classical designs of oxygen tuyeres equipped with tips with Laval nozzles do not always satisfy the requirements of the technology. The article presents the results of laboratory high-temperature modeling of the process of purging the converter bath through two-tier tuyeres equipped with tips of various designs. The studies were carried out on a multipurpose installation mounted on the basis of a 150-kg induction furnace and a 60-kg converter manufactured at a scale of 1:18 relative to 160 tons of an industrial unit. It is shown that the use of a two-tier lance provides additional advantages for the smelting process. So, in the initial and main periods of purging the converter bath through a two-tier lance with a double-row tip, it was possible to accelerate the process of slag formation without the addition of fluorspar, to intensify the removal of phosphorus at a high carbon content. Upon completion of the initial purge period at a low metal temperature of 1300-1330 ° C and the corresponding basicity of liquid slag, the degree of dephosphorization of 73.3-79.1% is achieved. When used for blowing two-tier tuyeres with double-row tips, the efficiency of afterburning of CO exhaust gases to CO2 also increases at the same decarburization rate of the bath. Based on the data of high-temperature modeling, the rational design of the two-tier lance has been determined, which ensures: balance of the heat balance; yield increase; creating conditions for the removal of phosphorus at a high carbon content; exclusion of negative effects on the lining.

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Development of energy efficient technology of combined blowing of converter bath by oxygen and neutral gases

Fundamental and applied problems of ferrous metallurgy ◽

10.52150/2522-9117-2018-32-182-207 ◽

2018 ◽

pp. 182-207

Author(s):

A.G. Chernyatevich ◽

L.S. Molchanov ◽

P.O. Yushkevich ◽

V.V. Vakulchuk

Keyword(s):

High Temperature ◽

Industrial Development ◽

New Technology ◽

Design Parameters ◽

Practical Implementation ◽

Efficient Technology ◽

Converter Bath ◽

Neutral Gas ◽

Temperature Modeling ◽

Saving Effect

The aim of the work is the development of a new technology of combined purging of the converter bath with oxygen and neutral gas, which allows to achieve a significant resource and energy saving effect. The proposed technological scheme of combined purging is based on the use of a new design of a three-tiered tuyere and a system for supplying two regulated oxygen flows to it. It is possible to completely replace oxygen with nitrogen at certain periods of melting, which allows us to significantly expand the technological capabilities of the combined purge of the converter bath. The design of a three-tiered tuyere, which eliminates the disadvantages of two-tier blowing devices, was carried out using high-temperature modeling. Processing of the materials obtained in the course of the conducted melts allowed us to obtain new information about the features of the physicochemical processes developing during the flushing of the converter bath with the afterburning of the exhaust gases. The features of the effect of oxygen jets on the removal of carbon, manganese, silicon and phosphorus from the melt are established. Based on the data of high-temperature modeling of the purge of the converter bath, the established methodology for calculating the main design parameters and experience in developing industrial structures of multi-tiered tuyeres, a three-tiered tuyere of the new design and a combined bath of oxygen and neutral gas for the 160-ton converters have been developed and proposed for industrial development . The practical implementation of the presented solutions will provide an increase in the technological and technical-economic indicators of smelting in comparison with the use of well-known developments in this field.

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High-temperature modeling and characterization of 6H silicon carbide metal-oxide-semiconductor field-effect transistors

Journal of Applied Physics ◽

10.1063/1.1849424 ◽

2005 ◽

Vol 97 (4) ◽

pp. 046106 ◽

Cited By ~ 4

Author(s):

Stephen K. Powell ◽

Neil Goldsman ◽

Aivars Lelis ◽

James M. McGarrity ◽

Flynn B. McLean

Keyword(s):

Silicon Carbide ◽

High Temperature ◽

Metal Oxide ◽

Field Effect ◽

Field Effect Transistors ◽

Metal Oxide Semiconductor ◽

Oxide Semiconductor ◽

Temperature Modeling

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Application of Dynamic Temperature Modeling for Planning High Temperature Well

10.2118/183968-ms ◽

2017 ◽

Author(s):

Hendrik Suryadi ◽

Paul Bolchover ◽

Chen Xin ◽

Azrin Soh Aik Jun ◽

Agus Ziyad Kurnia ◽

...

Keyword(s):

High Temperature ◽

Dynamic Temperature ◽

Temperature Modeling

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Fe-based superconducting transition temperature modeling by machine learning: A computer science method

PLoS ONE ◽

10.1371/journal.pone.0255823 ◽

2021 ◽

Vol 16 (8) ◽

pp. e0255823

Author(s):

Zhiyuan Hu

Keyword(s):

Machine Learning ◽

High Temperature ◽

Transition Temperature ◽

High Temperature Superconductors ◽

Strong Relationship ◽

Lattice Parameters ◽

Transition Temperatures ◽

Superconducting Transition ◽

Temperature Modeling ◽

High Transition

Searching for new high temperature superconductors has long been a key research issue. Fe-based superconductors attract researchers’ attention due to their high transition temperature, strong irreversibility field, and excellent crystallographic symmetry. By using doping methods and dopant levels, different types of new Fe-based superconductors are synthesized. The transition temperature is a key indicator to measure whether new superconductors are high temperature superconductors. However, the condition for measuring transition temperature are strict, and the measurement process is dangerous. There is a strong relationship between the lattice parameters and the transition temperature of Fe-based superconductors. To avoid the difficulties in measuring transition temperature, in this paper, we adopt a machine learning method to build a model based on the lattice parameters to predict the transition temperature of Fe-based superconductors. The model results are in accordance with available transition temperatures, showing 91.181% accuracy. Therefore, we can use the proposed model to predict unknown transition temperatures of Fe-based superconductors.

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