Quantitative XRD analysis and evaluation of iron ore, sinter, and pellets

2022 ◽  
pp. 109-126
Author(s):  
Johan P.R. de Villiers ◽  
Liming Lu
Keyword(s):  
Iron Ore ◽  
Xrd Analysis ◽  
Analysis And Evaluation ◽  
Iron Ore Sinter

PLSR as a new XRD method for downstream processing of ores: – case study: Fe2+ determination in iron ore sinter

2014 ◽  
Vol 29 (S1) ◽  
pp. S78-S83 ◽  
Author(s):  
Uwe König ◽  
Thomas Degen ◽  
Nicholas Norberg
Keyword(s):  
High Speed ◽  
Iron Ore ◽  
Raw Materials ◽  
Rietveld Method ◽  
Mineralogical Composition ◽  
Xrd Analysis ◽  
Downstream Processing ◽  
Least Squares Regression ◽  
Wet Chemistry ◽  
Iron Ore Sinter

The use of high-speed detectors made X-ray diffraction (XRD) become an important tool for process control in mining and metal industries. Decreasing ore qualities and increasing prices for raw materials require a better control of processed ore and a more efficient use of energy. Traditionally quality control of iron ore sinter has relied on time-consuming wet chemistry. The mineralogical composition that defines the physical properties such as hardness or reducibility is not monitored. XRD analysis in combination with Rietveld quantification and statistical data evaluation using partial least-squares regression (PLSR) has been successfully established to determine the mineralogical composition and the Fe2+ content of iron ore sinter within an analysis time of less than 10 min per sample. A total of 35 iron ore sinter samples were measured and evaluated using PLSR and the Rietveld method. The results were compared with wet chemistry data. PLSR results show accuracy for the Fe2+ content of ±0.14%. No pure phases, crystal structures, or complex modeling of peak shapes are required. The Rietveld method was used to quantify the total phase composition of the samples. The Fe2+ content could be calculated from all phases present. Both methods take the full XRD pattern into account and can be simultaneously applied on the same measurement. PLSR was found to be the more robust method if only Fe2+ results are required. The Rietveld method helps predict other parameters such as the compressional strength of the sinter by monitoring all existing phases (e.g., larnite, C2S, or silico-ferrite of calcium and aluminum phases).

Additives produce strong and reducible iron ore sinter

JOM ◽  
1954 ◽  
Vol 6 (4) ◽  
pp. 449-452
Author(s):  
R. D. Burlingame ◽  
Gust Bitsianes ◽  
T. L. Joseph
Keyword(s):  
Iron Ore ◽  
Iron Ore Sinter

Prediction of Iron Ore Sinter Properties Using Statistical Technique

2016 ◽  
Vol 70 (6) ◽  
pp. 1661-1670 ◽  
Author(s):  
Vikash Kumar ◽  
S. D. S. S. Sairam ◽  
Satendra Kumar ◽  
Akhil Singh ◽  
Deepak Nayak ◽  
...  
Keyword(s):  
Iron Ore ◽  
Statistical Technique ◽  
Iron Ore Sinter

Determination of aluminium in iron ore and iron ore sinter by a complexometric method

The Analyst ◽  
1976 ◽  
Vol 101 (1204) ◽  
pp. 516 ◽  
Author(s):  
Samaresh Banerjee ◽  
R. K. Dutta
Keyword(s):  
Iron Ore ◽  
Complexometric Method ◽  
Iron Ore Sinter

Mathematical Modeling and Optimization of Iron Ore Sinter Properties

2007 ◽  
Vol 47 (3-4) ◽  
pp. 373-379 ◽  
Author(s):  
Eugene Donskoi ◽  
James R. Manuel ◽  
John M. F. Clout ◽  
Yimin Zhang
Keyword(s):  
Mathematical Modeling ◽  
Iron Ore ◽  
Modeling And Optimization ◽  
Iron Ore Sinter

scholarly journals Reduction Disintegration Behavior of Iron Ore Sinter under High H2 and H2O Conditions

2012 ◽  
Vol 52 (8) ◽  
pp. 1447-1453 ◽  
Author(s):  
Taichi Murakami ◽  
Yousuke Kamiya ◽  
Takeyuki Kodaira ◽  
Eiki Kasai
Keyword(s):  
Iron Ore ◽  
Iron Ore Sinter

scholarly journals Effect of Mineral Composition and Pore Structure on Reducibility of Composite Iron Ore Sinter

2009 ◽  
Vol 49 (5) ◽  
pp. 722-728 ◽  
Author(s):  
Hideki Ono ◽  
Yusuke Dohi ◽  
Yuki Arikata ◽  
Tateo Usui
Keyword(s):  
Pore Structure ◽  
Mineral Composition ◽  
Iron Ore ◽  
Iron Ore Sinter

scholarly journals Quantitative Analysis of Mineral Composition of Iron Ore Sinter Based on Comprehensive Image Processing Techniques

2014 ◽  
Vol 54 (6) ◽  
pp. 1222-1227 ◽  
Author(s):  
Hong-wei Guo ◽  
Bu-xin Su ◽  
Zhen-long Bai ◽  
Jian-liang Zhang ◽  
Xin-yu Li ◽  
...  
Keyword(s):  
Image Processing ◽  
Quantitative Analysis ◽  
Mineral Composition ◽  
Iron Ore ◽  
Image Processing Techniques ◽  
Iron Ore Sinter ◽  
Processing Techniques

scholarly journals Iron-Ore Sintering Process Optimization / Optymalizacja Procesu Aglomeracji Rudy Żelaza

2015 ◽  
Vol 60 (4) ◽  
pp. 2895-2900 ◽  
Author(s):  
M. Fröhlichová ◽  
D. Ivanišin ◽  
A. Mašlejová ◽  
R. Findorák ◽  
J. Legemza
Keyword(s):  
Iron Content ◽  
Iron Ore ◽  
Raw Materials ◽  
Size Composition ◽  
Sintering Process ◽  
Iron Ore Sintering ◽  
Iron Ore Sinter ◽  
A Charge ◽  
Iron Ore Concentrate

The work deals with examination of the influence of the ratio between iron ore concentrate and iron ore on quality of produced iron ore sinter. One of the possibilities to increase iron content in sinter is the modification of raw materials ratio, when iron ore materials are added into sintering mixture. If the ratio is in favor of iron ore sinter, iron content in resulting sintering mixture will be lower. If the ratio is in favor of iron ore concentrate and recycled materials, which is more finegrained, a proportion of a fraction under 0.5 mm will increase, charge permeability property will be reduced, sintering band performance will decrease and an occurrence of solid particulate matter in product of sintering process will rise. The sintering mixture permeability can be optimized by increase of fuel content in charge or increase of sinter charge moisture. A change in ratio between concentrate and iron ore has been experimentally studied. An influence of sintering mixture grain size composition, a charge grains shape on quality and phase composition on quality of the produced iron sinter has been studied.

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