The Use of Trapezoidal Fuzzy Numbers in the Model to Optimize the Batch of Electric Arc Furnace

2015 ◽  
Vol 226 ◽  
pp. 199-204
Author(s):  
Bolesław Machulec ◽  
Andrzej Kuźnik
Keyword(s):  
Technological Process ◽  
Optimization Model ◽  
Fuzzy Numbers ◽  
Linear Optimization ◽  
Simple Algorithm ◽  
Electric Arc Furnace ◽  
Quality Parameters ◽  
Electric Arc ◽  
Arc Furnace ◽  
Classical Models

The classical models to optimize the batch of electric arc furnace require precise and predetermined numerical values. In order to determine the scrap steel properties (eg. chemical composition), we are not able to define these values precisely and accurately. This situation is due to the heterogeneity and specificity of this material, which is related to its origin and way of obtaining. Therefore the usefulness of classical models to optimize the batch of electric arc furnace is limited. The fuzzy numbers with trapezoidal membership function were applied as a model in order to describe the technological process of steelmaking, which is neither accurate nor of ambiguous nature of the parameters. The advantage of trapezoidal numbers is a simple algorithm of arithmetic operations as well as easy and intuitive interpretation. The structure of optimization model with fuzzy parameters is similar to the classical linear optimization model of the mixtures composition. The optimization model, that is formulated on the fuzzy ranges arithmetic principles, allows to ensure that the quality parameters of the batch mix for the electric arc furnace are as precise as the ones described by electro-steel works, even though the quality parameters of scrap steel as well as some of the parameters of steel melting technological process are described ambiguously.

Some Aspects about Product Management of Electric Arc Furnace Elements

2015 ◽  
Vol 809-810 ◽  
pp. 1319-1324
Author(s):  
Adrian Ioana ◽  
Augustin Semenescu ◽  
Dragos Marcu ◽  
Massimo Pollifroni ◽  
Monika Březinová
Keyword(s):  
Technological Process ◽  
Management Strategy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Point Of View ◽  
Product Management ◽  
Arc Furnace ◽  
Functional Description ◽  
Best Management ◽  
Refractory Masonry

The methodology of establishing an Electric Arc Furnace (EAF) and technological plant’s best management strategy is based on the “technological process – technological plant” interdependences. The paper presents the best management of a plant and consists of an assembly of operations, measures and decisions, established and applied in order to make the technological process more efficient from the technical – economical point of view. We present constructive and functional description of an Electric Arc Furnace such as: refractory masonry; metallic construction; electric installation. We also present the best management of a plant consisting of an assembly of operations, measures and decisions, established and applied in order to make the technological process more efficient from the technical–economical point of view, Electric Arc Furnace management included.

Analytical Electron Microscopy Characterization of Electric Arc Furnace Dust

1981 ◽  
Vol 39 ◽  
pp. 134-135
Author(s):  
J. R. Porter ◽  
J. I. Goldstein ◽  
D. B. Williams
Keyword(s):  
Electron Microscopy ◽  
Analytical Electron Microscopy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Dust Particles ◽  
Particle Analysis ◽  
Arc Furnace ◽  
Analytical Electron ◽  
Residual Elements ◽  
Industry Practice

Alloy scrap metal is increasingly being used in electric arc furnace (EAF) steelmaking and the alloying elements are also found in the resulting dust. A comprehensive characterization program of EAF dust has been undertaken in collaboration with the steel industry and AISI. Samples have been collected from the furnaces of 28 steel companies representing the broad spectrum of industry practice. The program aims to develop an understanding of the mechanisms of formation so that procedures to recover residual elements or recycle the dust can be established. The multi-phase, multi-component dust particles are amenable to individual particle analysis using modern analytical electron microscopy (AEM) methods.Particles are ultrasonically dispersed and subsequently supported on carbon coated formvar films on berylium grids for microscopy. The specimens require careful treatment to prevent agglomeration during preparation which occurs as a result of the combined effects of the fine particle size and particle magnetism. A number of approaches to inhibit agglomeration are currently being evaluated including dispersal in easily sublimable organic solids and size fractioning by centrifugation.

Monitoring the environmental and energy impacts of electric arc furnace steelmaking

2016 ◽  
Vol 104 (1) ◽  
pp. 102 ◽  
Author(s):  
Valentina Colla ◽  
Filippo Cirilli ◽  
Bernd Kleimt ◽  
Inigo Unamuno ◽  
Silvia Tosato ◽  
...  
Keyword(s):  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace

scholarly journals Design and Construction of a Laboratory-Scale Direct-Current Electric Arc Furnace for Metallurgical and High-Titanium Slag Smelting Studies

Metals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 732
Author(s):  
Botao Xue ◽  
Lingzhi Yang ◽  
Yufeng Guo ◽  
Feng Chen ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Direct Current ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Melting Time ◽  
Furnace Lining ◽  
Arc Furnace ◽  
Titanium Slag ◽  
Design Requirements ◽  
Metallized Pellets ◽  
The Heat Balance

A novel direct-current electric arc furnace (DC-EAF) was designed and constructed in this study for experimentally investigating high-titanium slag smelting, with an emphasis on addressing the issues of incomplete separation of metal and slag as well as poor insulation effects. The mechanical components (crucible, electrode, furnace lining, etc.) were designed and developed, and an embedded crucible design was adopted to promote metal-slag separation. The lining and bottom thicknesses of the furnace were determined via calculation using the heat balance equations, which improved the thermal insulation. To monitor the DC-EAF electrical parameters, suitable software was developed. For evaluating the performance of the furnace, a series of tests were run to determine the optimal coke addition under the conditions of constant temperature (1607 °C) and melting time (90 min). The results demonstrated that for 12 kg of titanium-containing metallized pellets, 4% coke was the most effective for enrichment of TiO2 in the high-titanium slag, with the TiO2 content reaching 93.34%. Moreover, the DC-EAF met the design requirements pertaining to lining thickness and facilitated metal-slag separation, showing satisfactory performance during experiments.

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