Study of the Possibility of Obtaining Non-Decomposing Slag During Low-Carbon Ferrochrome Production

Metallurgist ◽  
2019 ◽  
Vol 62 (9-10) ◽  
pp. 875-881 ◽  
Author(s):  
O. V. Zayakin ◽  
R. N. Statnykh ◽  
V. I. Zhuchkov
2020 ◽  
Vol 6 (444) ◽  
pp. 111-118
Author(s):  
Т.S. Bazhirov ◽  
◽  
V.S. Protsenko ◽  
N.S. Bazhirov ◽  
M.S. Dauletiyarov ◽  
...  

The research results of physicochemical and physicotechnical properties of slag wastes from ferrochrome production as raw materials for heat-resistant materials are presented. Chemical and mineralogical composition of slag from high-carbon ferrochrome production and slag from low-carbon ferrochrome production, as well as their constituent main crystalline phases, represented by magnesium and calcium aluminosilicates of complex composition, have been determined by physicochemical research methods. According to X-ray phase analysis, the slag from the high-carbon ferrochrome production is represented mainly by forsterite Mg2SiO4, spinel MgAl2O4, partially amorphous glass phase and admixture of calcium orthosilicate Ca2SiO4. In the slag from the low-carbon ferrochrome production, the main crystalline phase is calcium orthosilicate γ-Ca2SiO4, as well as magnesium orthosilicate forsterite Mg2SiО4. The research results of specific surface area, average particle size determination and sieve analysis have shown that the slag from the low-carbon ferrochrome production is a finely dispersed gray powder with the following characteristics: the specific surface area – 295 m2 /kg, the average particle size – 6.8 μm, the true density – 3.01 g/cm3 , the bulk density – 739 kg/m3 . The research of the physicochemical and physicotechnical properties has established that in terms of chemical, mineralogical composition and refractoriness indices, the slags from the high-carbon ferrochrome and low-carbon ferrochrome productions can be valuable raw materials for heat-resistant materials.


2013 ◽  
Vol 43 (5) ◽  
pp. 309-312
Author(s):  
R. N. Statnykh ◽  
Ya. I. Ostrovskii ◽  
A. A. Tsernikel’ ◽  
V. I. Zhuchkov

2011 ◽  
Vol 128-129 ◽  
pp. 1246-1249
Author(s):  
Niao Na Zhang ◽  
Ke Wei Liu ◽  
Bao Dong Zhang

Construct the model of the end-point ingredient prediction of low carbon ferrochrome smelt based on the working condition of electrothermal silicon method using the method of multi-scale support vector machiness information fusion, where the best decomposition scale information is according to different smelt working conditions using Levenberg-Marquart algorithm to optimize the design, smelt working condition is judged by Bayesian classifier. Researches have proved that this method can improve the precision of prediction and make the prediction result more accurate, reasonable and practical.


Metals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1593
Author(s):  
Lubomir Pikna ◽  
Maria Hezelova ◽  
Agnieszka Morillon ◽  
David Algermissen ◽  
Ondrej Milkovic ◽  
...  

Slags produced in the steelmaking industry could be a source of chromium. Slags contain, depending on different types of slags, between 2 to 5 wt.% of Cr. Roasting of slag with NaOH, followed by subsequent leaching can produce leachates which can be efficiently processed using electrocoagulation (EC). This paper provides results from the EC process optimization for Cr(VI) solutions with initial concentration 1000 mg/L of Cr(VI). Influence of pH, current intensity and NaCl concentration on the efficiency of chromium recovery, energy consumption as well as solid product composition is discussed in detail. Optimum of pH = 6 was chosen for EC processing of Cr leachates as well as current intensities of 0.1–0.5 A because of the higher Cr/Fe ratio in solid product compared to higher current intensities. Results of EC processing of four real leachates of electric arc furnace carbon steel slag (EAFC), electric arc furnace stainless steel slag (EAFS), low carbon ferrochrome slag (LC FeCr) and high carbon ferrochrome slag (HC FeCr) were evaluated. Comparison of the results of four real leachate samples is presented. Obtained final solid product was identified as (Fe0.6 Cr0.4)2O3 and with up to 20% of Cr could be used as source of chromium in the ferrochrome production.


2013 ◽  
Vol 645 ◽  
pp. 519-522
Author(s):  
Niao Na Zhang ◽  
Ying Ying Wang ◽  
Yong Jun Bai

The online prediction of the low carbon ferrochrome terminal composition in electro-silicothemic smelting process plays a key role in guiding the determining the tapping time, the smelting process of the power supply system, the production quality and the energy consumption and so on. By introducing the multi-scale wavelet kernel function in the support vector machine (SVM) algorithm, and according to the Bayesian classifier to certain different smelting conditions, we chose different decomposition scales. In this way, the accuracy of the terminal composition prediction during the smelting process is improved greatly. Experiments show the effectiveness of the proposed method.


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