scholarly journals Modeling Viscosity of High Titania Slag

2020 ◽  
Author(s):  
Kai Hu ◽  
Kai Tang ◽  
Xuewei Lv ◽  
Jafar Safarian ◽  
Zhiming Yan ◽  
...  
Keyword(s):  
Critical Temperature ◽  
Reduction Process ◽  
Slag System ◽  
Smelting Reduction ◽  
Distribution Diagram ◽  
Low Viscosity ◽  
Slag Production ◽  
Cylinder Method ◽  
Titania Slag ◽  
Better Than

Abstract TiO2-FeO-Ti2O3 slag system is the dominant system for industrial high-titania slag production. In the present work, viscosities of TiO2-FeO and TiO2-FeO-Ti2O3 systems were experimentally determined using the concentric rotating cylinder method under argon atmosphere. A viscosity model suitable for the TiO2-FeO-Ti2O3 slag system was then established based on the modification of the Vogel-Fulcher-Tammann (VFT) equation. The experimental results indicate that completely melted high-titania slags exhibit very low viscosity of around 0.8 dPa s with negligible dependence on temperature and compositions. However, it increases dramatically with decreasing temperature slightly below the critical temperature. Besides, the increase in FeO content was found to remarkably lower the critical temperature, while the addition of Ti2O3 increases it. The developed model can predict the viscosities of the TiO2-FeO-Ti2O3 and TiO2-FeO systems over wide ranges of compositions and temperatures within experimental uncertainties. The average relative error for the present model calculation is < 18.82 pct, which is better than the previously developed models for silicate slags reported in the literature. An iso-viscosity distribution diagram was made for the TiO2-FeO-Ti2O3 slag system, which can serve as a roadmap for the Ilmenite smelting reduction process as well as the high titania slags tapping process.

Solid Flow in a Shaft Furnace in Smelting Reduction Process under Circumferential Imbalance Conditions

2017 ◽  
Vol 88 (12) ◽  
pp. 1700212 ◽  
Author(s):  
Heng Zhou ◽  
Shengli Wu ◽  
Mingyin Kou ◽  
Biao Tang ◽  
Hanchi Cheng ◽  
...  
Keyword(s):  
Shaft Furnace ◽  
Reduction Process ◽  
Smelting Reduction ◽  
Solid Flow

Growth of Ag Nanoparticles by Spin Coating

2013 ◽  
Vol 24 ◽  
pp. 163-167 ◽  
Author(s):  
S.D. Sartale ◽  
A.A. Ansari
Keyword(s):  
Ag Nanoparticles ◽  
Spin Coating ◽  
Chemical Reduction ◽  
Reduction Process ◽  
Thermal Reduction ◽  
Environment Effects ◽  
Uv Visible ◽  
Absorbance Spectra ◽  
Scanning Electron ◽  
Better Than

Ag nanoparticles were grown on glass substrate by spin coating of Ag ions (AgNO3) solution followed by either chemical reduction, in aqueous hydrazine or NaBH4 solution, or by thermal reduction in H2 environment. Effects of different reducing agent have been explained. Morphology and absorbance spectra ofAg nanoparticles films, measured by using Scanning Electron Microscopy (SEM) and UV-visible Spectrophotometer techniques, are used to understand effect of reduction process on growth of Ag nanoparticles. To grow uniformly size distributed Ag nanoparticles thermal reduction in H2 is better than chemical reduction by aqueous either NaBH4 orhydrazine hydrate solutions.

Impact of slag composition activity on the behavior of phosphorus in the smelting reduction process of high-phosphorus iron ores

2017 ◽  
Vol 42 (38) ◽  
pp. 24487-24494 ◽  
Author(s):  
Yiqin Liu ◽  
Hao Zhang ◽  
Zengen Li ◽  
Aimin Zhang ◽  
Xiaohui Zhang ◽  
...  
Keyword(s):  
Slag Composition ◽  
Reduction Process ◽  
Iron Ores ◽  
Smelting Reduction ◽  
High Phosphorus ◽  
Phosphorus Iron

scholarly journals Stabilizing membrane domains antagonizes n-alcohol anesthesia

2016 ◽  
Author(s):  
B.B. Machta ◽  
E. Grey ◽  
M. Nouri ◽  
N.L.C. McCarthy ◽  
E.M. Gray ◽  
...  
Keyword(s):  
Plasma Membrane ◽  
Phase Separation ◽  
Critical Temperature ◽  
Hydrostatic Pressure ◽  
General Anesthesia ◽  
Membrane Domains ◽  
Strongly Correlated ◽  
Membrane Heterogeneity ◽  
Anesthetic Potency ◽  
Better Than

AbstractDiverse molecules induce general anesthesia with potency strongly correlated both with their hydrophobicity and their effects on certain ion channels. We recently observed that several n-alcohol anesthetics inhibit heterogeneity in plasma membrane derived vesicles by lowering the critical temperature (Tc) for phase separation. Here we exploit conditions that stabilize membrane heterogeneity to further test the correlation between the anesthetic potency of n-alcohols and effects on Tc. First we show that hexadecanol acts oppositely to n-alcohol anesthetics on membrane mixing and antagonizes ethanol induced anesthesia in a tadpole behavioral assay. Second, we show that two previously described ‘intoxication reversers’ raise Tc and counter ethanol’s effects in vesicles, mimicking the findings of previous electrophysiological and behavioral measurements. Third, we find that hydrostatic pressure, long known to reverse anesthesia, also raises Tc in vesicles with a magnitude that counters the effect of butanol at relevant concentrations and pressures. Taken together,these results demonstrate that ΔTc predicts anesthetic potency for n-alcohols better than hydrophobicity in a range of contexts, supporting a mechanistic role for membrane heterogeneity in general anesthesia.

scholarly journals Strong correlation between electronic bonding network and critical temperature in hydrogen-based superconductors

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Francesco Belli ◽  
Trinidad Novoa ◽  
J. Contreras-García ◽  
Ion Errea
Keyword(s):  
Critical Temperature ◽  
Physical Properties ◽  
Fermi Level ◽  
Electronic Properties ◽  
Density Of States ◽  
Strong Correlation ◽  
Critical Temperatures ◽  
Structural And Electronic Properties ◽  
Superconducting Compounds ◽  
Better Than

AbstractBy analyzing structural and electronic properties of more than a hundred predicted hydrogen-based superconductors, we determine that the capacity of creating an electronic bonding network between localized units is key to enhance the critical temperature in hydrogen-based superconductors. We define a magnitude named as the networking value, which correlates with the predicted critical temperature better than any other descriptor analyzed thus far. By classifying the studied compounds according to their bonding nature, we observe that such correlation is bonding-type independent, showing a broad scope and generality. Furthermore, combining the networking value with the hydrogen fraction in the system and the hydrogen contribution to the density of states at the Fermi level, we can predict the critical temperature of hydrogen-based compounds with an accuracy of about 60 K. Such correlation is useful to screen new superconducting compounds and offers a deeper understating of the chemical and physical properties of hydrogen-based superconductors, while setting clear paths for chemically engineering their critical temperatures.

scholarly journals Recovery of Iron, Chromium, and Nickel from Pickling Sludge Using Smelting Reduction

Metals ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 936 ◽  
Author(s):  
Zhaohui Tang ◽  
Xueyong Ding ◽  
Xinlin Yan ◽  
Yue Dong ◽  
Chenghong Liu
Keyword(s):  
Reduction Process ◽  
Slag Basicity ◽  
Experimental Results ◽  
Iron Ores ◽  
Reduction Temperature ◽  
Smelting Reduction ◽  
Reduction Time ◽  
Temperature Reduction ◽  
Pickling Sludge ◽  
Iron Chromium

This paper reports the recoveries of iron, chromium, and nickel from pickling sludge using coal-based smelting reduction. The influences of slag basicity (CaO/SiO2, which is controlled by high phosphorus oolitic hematite iron ores), reduction temperature, reduction time, and the C/O mole ratio on the recoveries of Fe, Cr, and Ni are investigated systematically. The experimental results show that high recoveries of Fe (98.91%), Cr (98.46%), and Ni (99.44%) are produced from pickling sludge with optimized parameters for the smelting reduction process. The optimized parameters are a slag basicity of 1.5; a reduction temperature of 1550 °C, a reduction time of 90 min, and a C/O mole ratio of 2.0. These parameters can be used as technical support for the recycling of pickling sludge with pyrometallurgy.

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