scholarly journals Briquette smelting in electric arc furnace to recycle wastes from stainless steel production

2015 ◽  
Vol 22 (S1) ◽  
pp. 10-16 ◽  
Author(s):  
Qi-xing Yang ◽  
An-jun Xu ◽  
Peng Xue ◽  
Dong-feng He ◽  
Jian-li Li ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Steel Production ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Stainless Steel Production

Exergy Analysis of Steel Electric Arc Furnace

2010 ◽  
Author(s):  
Ebrahim Hajidavalloo ◽  
Hamzeh Dashti
Keyword(s):  
Energy Consumption ◽  
Flue Gas ◽  
Exergy Analysis ◽  
Steel Production ◽  
Electrical Energy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Electrical Energy Consumption ◽  
Energy And Exergy

In this paper, energy and exergy analysis of an existing steel electric arc furnace (EAF) was performed to estimate the furnace potential for increasing the efficiency and decreasing the electrical energy consumption. The results of analysis show that the energy and exergy efficiencies of the furnace are 56.9% and 40.5%, respectively. Field data show that mass flow rate of hot flue gas is around 10.4 kg/s in average which contains 18.3% and 12.2% of total input energy and exergy, respectively. By using energy of flue gas for preheating the sponge iron, electrical energy consumption of the furnace could be reduced up to 88 GJ which means 21.2% reduction in electrical energy consumption and 13.6% increase in steel production. Also, exergy efficiency improves about 10.8% by using preheating scheme.

scholarly journals Briquetting of EAF Dust for its Utilisation in Metallurgical Processes

2015 ◽  
Vol 36 (2) ◽  
pp. 263-271 ◽  
Author(s):  
Aneta Magdziarz ◽  
Monika Kuźnia ◽  
Michał Bembenek ◽  
Paweł Gara ◽  
Marek Hryniewicz
Keyword(s):  
Shaft Furnace ◽  
Steel Production ◽  
Hydrated Lime ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
High Iron Content ◽  
Coke Content ◽  
Eaf Dust ◽  
To Receive

Abstract Dust generated at an electric arc furnace during steel production industry is still not a solved problem. Electric arc furnace dust (EAF) is a hazardous solid waste. Sintering of well-prepared briquetted mixtures in a shaft furnace is one of possible methods of EAFD utilisation. Simultaneously some metal oxides from exhaust gases can be separated. In this way, various metals are obtained, particularly zinc is recovered. As a result, zinc-free briquettes are received with high iron content which can be used in the steelmaking process. The purpose of the research was selecting the appropriate chemical composition of briquettes of the required strength and coke content necessary for the reduction of zinc oxide in a shaft furnace. Based on the results of the research the composition of the briquettes was selected. The best binder hydrated lime and sugar molasses and the range of proper moisture of mixture to receive briquettes of high mechanical strength were also chosen and tested. Additionally, in order to determine the thermal stability for the selected mixtures for briquetting thermal analysis was performed. A technological line of briquetting was developed to apply in a steelworks.

Process and Practice of EAF with De-P Hot Metal Charging for Melting Stainless Steel

2007 ◽  
Vol 561-565 ◽  
pp. 1063-1066
Author(s):  
Fang Yi Zhu ◽  
He Bing Chi ◽  
Xing Yuan Jiang ◽  
Wei Dong Mao
Keyword(s):  
Stainless Steel ◽  
Control Theory ◽  
Integrated Control ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Hot Metal ◽  
Factors Affecting ◽  
Physical Energy ◽  
Main Factors

The article introduce the process of Electric Arc Furnace with Dephosphorized hot metal charging for melting stainless steel in Baosteel stainless steel Branch. Based on the practice of production, The main factors affecting the process of EAF with De-P HM charging are theoretically analyzed, such as using oxygen, the material charging and making slag. The optimization of hot metal charging can advance the use of chemical and physical energy, reduce the consumption of power. The optimization of using oxygen can increase the use of chemical energy. The optimization of material charging can reduce the oxidation of Cr. Making foamy slag can advance the transformer capacity and the use of power. Based on the character of the process EAF with De-P HM charging for Melting Stainless Steel, EAF productivity increased were reached with application of integrated control theory on EAF process in Baosteel stainless steel branch.

Processing and Recycling Experiments of Dust from Electric Arc Furnace

2011 ◽  
Vol 378-379 ◽  
pp. 719-722 ◽  
Author(s):  
Zorica Bacinschi ◽  
Cristiana Zizi Rizescu ◽  
Elena Valentina Stoian ◽  
Dan Nicolae Ungureanu ◽  
Aurora Anca Poinescu ◽  
...  
Keyword(s):  
Steel Production ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Raw Material ◽  
Arc Furnace ◽  
Leaching Test ◽  
Fine Grained ◽  
Steel Making ◽  
Fine Grained Material ◽  
The Impact

The processing and recycling experiments of dust from Electric Arc Furnace (EAF) in industrial conditions aimed at highlighting the minimizing possibility of this waste by transforming it into a by-product that can represent either a secondary raw material for steel making in EAF or to recover iron, zinc and lead (the Waltz process). Electric-arc furnace dust (EAFD) is a by-product of steel production and recycling. This fine-grained material contains high amounts of zinc and iron as well as significant amounts of potentially toxic elements such as lead, cadmium and chromium. Therefore, the treatment and stabilization of this industrial residue is necessary. Leaching test is a method of evaluating the impact of waste that is stored (soil, water table).

scholarly journals Using Statistical Modeling to Predict the Electrical Energy Consumption of an Electric Arc Furnace Producing Stainless Steel

Metals ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 36 ◽  
Author(s):  
Leo S. Carlsson ◽  
Peter B. Samuelsson ◽  
Pär G. Jönsson
Keyword(s):  
Stainless Steel ◽  
Statistical Modeling ◽  
Model Performance ◽  
Electrical Energy ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Modeling Framework ◽  
Statistical Tools ◽  
Input Variables

The non-linearity of the Electric Arc Furnace (EAF) process and the correlative behavior between the process variables impose challenges that have to be considered if one aims to create a statistical model that is relevant and useful in practice. In this regard, both the statistical modeling framework and the statistical tools used in the modeling pipeline must be selected with the aim of handling these challenges. To achieve this, a non-linear statistical modeling framework known as Artificial Neural Networks (ANN) has been used to predict the Electrical Energy (EE) consumption of an EAF producing stainless steel. The statistical tools Feature Importance (FI), Distance Correlation (dCor) and Kolmogorov–Smirnov (KS) tests are applied to investigate the most influencing input variables as well as reasons behind model performance differences when predicting the EE consumption on future heats. The performance, measured as kWh per heat, of the best model was comparable to the performance of the best model reported in the literature while requiring substantially fewer input variables.

A New Method to Produce Ni–Cr Ferroalloy Used for Stainless Steel Production

2016 ◽  
Vol 35 (7) ◽  
pp. 635-641
Author(s):  
Pei-Xian Chen ◽  
Shao-Jun Chu ◽  
Guo-Hua Zhang
Keyword(s):  
Stainless Steel ◽  
Phosphorus Content ◽  
Steel Production ◽  
Arc Furnace ◽  
New Process ◽  
High Utilization ◽  
Chromium Concentrate ◽  
Submerged Arc Furnace ◽  
Stainless Steel Production ◽  
Submerged Arc

AbstractA new electrosilicothermic method has been proposed in the present paper to produce Ni–Cr ferroalloy, which can be used for the production of 300 series stainless steel. Based on this new process, the Ni–Si ferroalloy is first produced as the intermediate alloy, and then the desiliconization process of Ni–Si ferroalloy melt with chromium concentrate is carried out to generate Ni–Cr ferroalloy. The silicon content in the Ni–Si ferroalloy produced in the submerged arc furnace should be more than 15 mass% (for the propose of reducing dephosphorization), in order to make sure the phosphorus content in the subsequently produced Ni–Cr ferroalloy is less than 0.03 mass%. A high utilization ratio of Si and a high recovery ratio of Cr can be obtained after the desiliconization reaction between Ni–Si ferroalloy and chromium concentrate in the electric arc furnace (EAF)–shaking ladle (SL) process.

scholarly journals A slag prediction model in an electric arc furnace process for special steel production

2021 ◽  
Vol 54 ◽  
pp. 178-183
Author(s):  
Maialen Murua ◽  
Fernando Boto ◽  
Eva Anglada ◽  
Jose Mari Cabero ◽  
Leixuri Fernandez
Keyword(s):  
Prediction Model ◽  
Steel Production ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Furnace Process ◽  
Special Steel
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