scholarly journals Thermodynamic Modelling of Iron Ore Sintering Reactions

Minerals ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 361 ◽  
Author(s):  
Chunlin Chen ◽  
Liming Lu ◽  
Kexin Jiao
Keyword(s):  
Oxygen Partial Pressure ◽  
Partial Pressure ◽  
Iron Ore ◽  
Raw Material ◽  
Melt Viscosity ◽  
Iron Ore Sintering ◽  
Mineral Phases ◽  
Ore Sintering ◽  
Multi Phase

Silico-ferrite of calcium and aluminum (SFCA) is one of the most commonly-produced phases in fluxed iron-ore sintering, and has long been regarded as an important bonding phase in industrial sinters. It is thus considered to have a significant effect on sinter quality. In this study, a solid solution model and database has been developed for the SFCA phase, and has been incorporated into the thermodynamic software, Multi-Phase Equilibrium (MPE). MPE calculations were compared with the in situ X-ray powder diffraction (XRD) observations of the formation of SFCA phase during sintering. The effects of the raw material composition, temperature and the oxygen partial pressure on the formation of mineral phases in the sinter, as well as the viscosity of the melt formed during sintering under equilibrium conditions, were modelled using MPE. The results show that the formation of SFCA phase can be promoted by increasing oxygen partial pressure and basicity of the raw material. Increases of Al2O3 and MgO content have no significant effect on the SFCA formation under equilibrium condition. The increase of oxygen partial pressure (10−3 atm or above) and basicity also leads to a decrease in melt viscosity, which enhances the fluidity of the melt, and hence, the assimilation of the sinter. However, increases of Al2O3 and MgO result in the increase of melt viscosity.

Walnut Shells as a Potential Fuel for Iron Ore Sintering

2021 ◽  
Vol 1045 ◽  
pp. 127-140
Author(s):  
Lina Kieush ◽  
Andrii Koveria ◽  
Maksym Boyko ◽  
Andrii Hrubyak ◽  
Artem Sova ◽  
...  
Keyword(s):  
Iron Ore ◽  
Negative Impact ◽  
Raw Material ◽  
Sintering Process ◽  
Iron Ore Sintering ◽  
Walnut Shells ◽  
Iron Ore Sintering Process ◽  
Ore Sintering ◽  
Fine Iron ◽  
The Difference

Iron ore sintering is a predominant process for fine iron ore and its concentrate to be applied in the blast furnace process. However, sintering produces a negative impact on the environment. One of the effective ways to reduce greenhouse gas emissions from iron ore sintering is to use CO2-neutral biomaterials for the fuel needs of this technology. Walnut shells (WNS) are a promising raw material for such fuel substitute. Herein, the effect of the raw and the pyrolyzed WNS with a constant fineness of 3-0 mm on the sintering process and the sinter properties were studied. The proportion of WNS in the fuel composition was set to 25 wt.%. It has been established that the use of WNS pyrolyzed up to 873 K is optimal. Additionally, the difference in the reactivity of WNS and coke breeze has provoked the studies on the influence of the pyrolyzed WNS size on the sintering process. WNS size was set to 1-0, 3-0, 5-0, and 7-0 mm. It has been found that the most optimal both for the iron ore sintering process and the sinter quality is the use of WNS with a particle size of 3-0 mm, subjected to preliminary pyrolysis up to 873 K.

Discrete Wavelet Transfer Based BPNN for Calculating Carbon Efficiency of Sintering Process

2016 ◽  
Vol 20 (7) ◽  
pp. 1070-1076 ◽  
Author(s):  
Xiaoxia Chen ◽  
◽  
Jinhua She ◽  
Xin Chen ◽  
Min Wu ◽  
...  
Keyword(s):  
Predictive Model ◽  
Iron Ore ◽  
Back Propagation ◽  
Raw Material ◽  
Discrete Wavelet ◽  
Sintering Process ◽  
Iron Ore Sintering ◽  
Carbon Efficiency ◽  
Iron Ore Sintering Process ◽  
Ore Sintering

Iron ore sintering process is the secondary most energy consuming procedure in steel making industry. In this study, a discrete wavelet transfer based back-propagation neural network (BPNN) model is built to predict the carbon efficiency of an iron ore sintering process. The raw-material variables and manipulated variables are chosen to be the inputs of the predictive model. First, the input variables are decomposed into 5 components. Then, BPNN models of each component are built. Finally, the prediction results are obtained by adding the output from each wave series. Actual run data are collected to verify the validity of the predictive model. The results show the validity of the proposed method with a MSE of 0.7708, a MAPE of 0.0125, and a <span class="bold">R</span>2 of 0.7016.

In situ diffraction studies of iron ore sinter bonding phase formation: QPA considerations and pushing the limits of laboratory data collection

2014 ◽  
Vol 29 (S1) ◽  
pp. S54-S58 ◽  
Author(s):  
Nathan A. S. Webster ◽  
Mark I. Pownceby ◽  
Ian C. Madsen ◽  
Andrew J. Studer ◽  
Justin A. Kimpton
Keyword(s):  
Phase Formation ◽  
Iron Ore ◽  
Laboratory Data ◽  
Quantitative Phase Analysis ◽  
Heating Rates ◽  
Iron Ore Sintering ◽  
Iron Ore Sinter ◽  
Ore Sintering ◽  
Sinter Bonding

The formation and decomposition of silico-ferrite of calcium and aluminium (SFCA) and SFCA-I iron ore sinter bonding phases have been investigated using in situ synchrotron and laboratory X-ray diffraction (XRD) and neutron diffraction (ND). An external standard approach for determining absolute phase concentrations via Rietveld refinement-based quantitative phase analysis is discussed. The complementarity of in situ XRD and ND in characterising sinter phase formation and decomposition is also shown, with the volume diffraction afforded by the neutron technique reducing errors in the quantification of magnetite above ~1200 °C. Finally, by collecting 6 s laboratory XRD datasets and using a heating rate of 175 °C min−1, phase formation and decomposition have been monitored under heating rates more closely approximating those encountered in industrial iron ore sintering.

Displacement of the Ingnition Furnace in the Iron Ore Sintering with Re-Circulation of Waste Gases

2016 ◽  
Vol 869 ◽  
pp. 643-648 ◽  
Author(s):  
Vagner Silva Guilherme ◽  
José Adilson de Castro
Keyword(s):  
Iron Ore ◽  
New Technologies ◽  
Sinter Machine ◽  
Stable Operation ◽  
Sintering Process ◽  
Iron Ore Sintering ◽  
Iron Ore Sintering Process ◽  
Ore Sintering ◽  
Multi Phase ◽  
Silicate Fraction

In search of new technologies for the iron ore sintering process, the re-circulation of waste gases in the process can provide some advantages in relation to the conventional process. For such study, a sintering multi-phase model was used for the assessment of the re-circulation of waste gases in the process. Five cases of re-circulation of waste gases in the sintering process were analyzed, always aiming at a stable operation in the process. The results of the simulation indicate an enlargement of the combustion front with the re-circulation of the waste gases and the possibility of existing a reduction of the solid fuel consumption. As a result, there was an increase of the calcium-silicate fraction, providing a sinter reducibility improvement, apart from the reduction of the emission of CO2 and PCDD/Fs in the sinter machine.

Sign in / Sign up

Export Citation Format

Share Document