Role of water chemistry in the selective flocculation and dispersion of iron ore

2015 ◽  
Vol 32 (2) ◽  
pp. 69-77 ◽  
Author(s):  
H. J. Haselhuhn ◽  
S. K. Kawatra
Keyword(s):  
Water Chemistry ◽  
Iron Ore ◽  
Selective Flocculation

WATER CHEMISTRY EFFECTS IN IRON ORE CONCENTRATE AGGLOMERATION FEED

2005 ◽  
Vol 26 (3-4) ◽  
pp. 295-305 ◽  
Author(s):  
T. C. Eisele ◽  
S. K. Kawatra ◽  
S. J. Ripke
Keyword(s):  
Water Chemistry ◽  
Iron Ore ◽  
Iron Ore Concentrate

scholarly journals THE ROLE OF SUBSURFACE FLOW DYNAMIC ON SPATIAL AND TEMPORAL VARIATION OF WATER CHEMISTRY IN A HEADWATER CATCHMENT

2016 ◽  
Vol 8 (1) ◽  
pp. 17
Author(s):  
Tadashi Tanaka
Keyword(s):  
Water Chemistry ◽  
Temporal Variation ◽  
Random Process ◽  
Riparian Zone ◽  
Subsurface Flow ◽  
Solute Concentration ◽  
Spatial And Temporal Variation ◽  
Flow Dynamic ◽  
Headwater Catchment

Variation of water chemistry does not merely occur due to in situ chemical process, but also transport process. The study was carried out to address the role of subsurface flow dynamic on spatial and temporal variation of water chemistry in a headwater catchment. Hydrometric and hydrochemistry measurements were done in transect with nested piezometers, tensiometers, and suction samplers at different depths across hillslope and riparian zone in a 5.2 ha first-order drainage of the Kawakami experimental basin, Nagano, Central Japan from August 2000 to August 2001. Spatial variation of solute concentration was defined by the standard deviation and coefficient of variation of the seasonal observed concentrations. Autocorrelation analysis was performed to define temporal variation of solute concentration. The results showed that spatial variation of water chemistry was mainly influenced by the variation of subsurface flow through the hillslope and riparian zone. Solute concentration in the deep riparian groundwater was almost three times higher than that in the hillslope segment. A prominent downward flow in deep riparian groundwater zone provided transport of solutes to the deeper layer. Time series analysis showed that in the deep riparian groundwater, Ca2+, Mg2+, SO42- and HCO3- concentrations underwent a random process, Na+ concentration of a random process superimposed by a trend process, and SiO2 of a random process superimposed by a periodic process. Near the riparian surface, SO42- concentration was composed of a random process superimposed by a periodic process, whereas other solutes were mainly in a random process. In the hillslope soil water, there was no trend observed for the Na+ concentration, but there were for Ca2+ and Mg2+. The magnitude and direction of subsurface flow across hillslope and riparian zone created transport and deposition processes that changed solute concentration spatially and temporally.

The role of normal and activated bentonite on the pelletization of barite iron ore concentrate and the quality of pellets

2003 ◽  
Vol 130 (1-3) ◽  
pp. 277-282 ◽  
Author(s):  
O.A Mohamed ◽  
M.E.H Shalabi ◽  
N.A El-Hussiny ◽  
M.H Khedr ◽  
F Mostafa
Keyword(s):  
Iron Ore ◽  
Activated Bentonite ◽  
Iron Ore Concentrate

Role of MgO and Its Different Minerals on Properties of Iron Ore Pellet

2015 ◽  
Vol 69 (6) ◽  
pp. 1141-1153 ◽  
Author(s):  
Md. Meraj ◽  
Susanta Pramanik ◽  
Jagannath Pal
Keyword(s):  
Iron Ore ◽  
Iron Ore Pellet

The role of bending stress on the initiation of reverse transverse defects

2020 ◽  
Vol 235 (1) ◽  
pp. 61-72
Author(s):  
Soumyajit Mojumder ◽  
Hang Su ◽  
Cong Qiu ◽  
Peter Mutton ◽  
Aparna Singh ◽  
...  
Keyword(s):  
Finite Element ◽  
Iron Ore ◽  
Maximum Stress ◽  
Load Ratio ◽  
Element Model ◽  
Bending Stress ◽  
Vertical Load ◽  
Lower Head ◽  
Longitudinal Bending

This paper investigated the role of longitudinal reverse bending stress on the initiation of reverse transverse defects. The longitudinal reverse bending stress occurs due to the reverse bending of the rail between two-wheel passage leading to the generation of tensile bending stress at the railhead and the lower head areas. The longitudinal bending stress was investigated as part of a parametric study on the rail cant angle, rail stiffness, lateral-to-vertical load ratio, and rail profile. A finite element model was created by using ABAQUS to analyze the extent of reverse bending in rails with respect to the chosen set of parameters. Under different lateral-to-vertical load ratios of 0, 0.3, 0.5, and 0.7, the maximum stress at the rail lower gauge corner was found to vary between 14.57MPa and 15.47MPa under the reverse bending condition. Similarly, low values of tensile stress under the reverse bending scenario were observed with changes in the rail cant angle and axle spacing with respect to different coal and iron ore wagons. The results revealed that the magnitude of the bending stress under different conditions of reverse bending was not significant enough to initiate a crack at the lower gauge corner.

scholarly journals Encountering automation: Redefining bodies through stories of technological change

2020 ◽  
pp. 026377582096312
Author(s):  
David Bissell
Keyword(s):  
Technological Change ◽  
Knowledge Production ◽  
Iron Ore ◽  
Mining Sector ◽  
Generative Process ◽  
Industry Sector ◽  
Making Sense ◽  
Complex Picture

This article enhances our understanding of the thoroughly embodied nature of knowledge production in relation to automation by demonstrating how making sense of automation is a generative process, rather than the demystification of an already existing object of analysis. It argues that the process of knowing automation involves situated encounters that transform bodies at the level of their indeterminate capacities to affect and be affected which, in turn, contributes to the production of what automation is. Contrasting with more generalised diagnoses about how automation is deskilling or reskilling bodies, it evaluates the constitutive role of situated encounters that register in sensing bodies for reshaping capacities. Focusing on iron ore mining in Australia, an industry sector that is currently increasing its automated operations, the paper draws on a series of fieldwork encounters with people differently positioned in the mining sector. Through the presentation of five stories that incorporate combinations of these fieldwork encounters, the paper constructs a more complex picture of how automation is redefining different bodies. Rather than taken to be mere representations of automation, it argues that the listening to and telling of stories about automation is a form of encounter that redefines bodies in the process.

Investigation of the mechanism for selective flocculation process using natural iron ore tailings

2020 ◽  
Vol 117 (1) ◽  
pp. 102
Author(s):  
Lopamudra Panda ◽  
Surendra Kumar Biswal ◽  
Rayasam Venugopal ◽  
Narayan R. Mandre
Keyword(s):  
Ultrafine Particles ◽  
Iron Ore ◽  
Gangue Mineral ◽  
Ftir Analysis ◽  
Selective Flocculation ◽  
Iron Ore Tailings ◽  
Natural Iron ◽  
The Government ◽  
Zeta Potential Analysis ◽  
Flocculation Process

A huge quantity of iron ore tailings was generated every year from the iron ore washing plants during beneficiation. These discarded tailings were stored in the tailing pond. Safe storage and handling of these tailings are a major concern to the management. Due to depletion of high-grade ore, the government of India had reduced the cut-off grade from 55 to 45% because of the shortage of the iron ore reserves. Ultrafine particles present in the tailings cannot be treated effectively by the conventional methods due to particle size limitations. For Indian iron ore, associated gangue mineral alumina is the major source which causes problems in the blast furnace. Removal of alumina from the iron ore of ultrafine size is a hill task. A selective flocculation approach was employed to the iron ore tailings which contain 50.98% of Fe (T) with 8.86% of Al2O3 assay. It was observed that, when applying a selective flocculation process, the concentrate contains more than 63.48% Fe (%), 2.5% Al2O3 with 31.196% recovery (%). The mechanism was investigated using zeta potential analysis, FTIR analysis, etc.

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