Enriching and Separating Iron Impurity from Galvanizing Dross by Super-Gravity Technology

2019 ◽  
pp. 467-478
Author(s):  
Anjun Shi ◽  
Zhe Wang ◽  
Lei Guo ◽  
Ning Zhang ◽  
Zhancheng Guo
Keyword(s):  
Iron Impurity

The influence of OH− impurity on the oxidation of iron impurity in MgO above 1000 °C

1976 ◽  
Vol 35 (2) ◽  
pp. 667-673 ◽  
Author(s):  
E. F. Harris ◽  
J. H. Crawford
Keyword(s):  
Iron Impurity

Iron Removal from Hafnium Crystal Bar by Iodide Process

2014 ◽  
Vol 576 ◽  
pp. 149-153
Author(s):  
Li Sen Tian ◽  
Yan Xin Yin ◽  
Li Jun Wang
Keyword(s):  
Stainless Steel ◽  
Optimal Condition ◽  
Cylinder Liner ◽  
Iron Removal ◽  
Iron Impurity ◽  
K Value ◽  
Filament Temperature ◽  
High Level

Crystal bar hafnium prepared by the iodide process was studied. The influences of three important factors (filament temperature, retort materials and feed types) on the removal of iron from hafnium crystal bar under iodide process were investigated. Results show that the impurity contents of iron in the hafnium crystal bar decreased with the rising K value. Both the retort materials and feed types have obvious influence on the iron impurity contents of hafnium crystal bar. It is proposed that the optimal condition was attained when hafnium turnings was used as feed, stainless steel with molybdenum cylinder liner as retort materials, and K value was at a relatively high level.

The Electronic Structure of Interstitial Iron in Silicon

1989 ◽  
Vol 163 ◽  
Author(s):  
A Thilderkvist ◽  
G Grossmann ◽  
M Kleverman ◽  
H G Grimmeiss
Keyword(s):  
Magnetic Field ◽  
Electronic Structure ◽  
High Resolution ◽  
Effective Mass ◽  
Level Structure ◽  
Zeeman Splitting ◽  
Iron Impurity ◽  
Doped Silicon ◽  
Donor States ◽  
Bound Electron

AbstractA donor-like spectrum in Fe-doped silicon has been studied by means of high-resolution Zeeman spectroscopy. Previous work had unambigouosly identified the center as the interstitial iron impurity and the spectrum was interpreted as due to the transitions , where an electron is excited to shallow effective-masslike donor states. In this paper, we can, by studying the transitions in a magnetic field, verify the effective-mass-like character of the loosely bound electron. Furthermore, we also obtain information on the impurity core whose level structure is reflected in the observed superposition of donor-hke Rydeberg series and whose g values determines the Zeeman splitting pattern.

Thermomechanical treatment of 70/30 brass containing iron impurity

2006 ◽  
Vol 41 (22) ◽  
pp. 7585-7589 ◽  
Author(s):  
M. Aghaie-Khafri ◽  
A. Mohebati-Jouibari
Keyword(s):  
Thermomechanical Treatment ◽  
Iron Impurity

Corrosion inhibition of pure Mg containing a high level of iron impurity in pH neutral NaCl solution

2018 ◽  
Vol 142 ◽  
pp. 222-237 ◽  
Author(s):  
Junjie Yang ◽  
Carsten Blawert ◽  
Sviatlana V. Lamaka ◽  
Kiryl A. Yasakau ◽  
Li Wang ◽  
...  
Keyword(s):  
Corrosion Inhibition ◽  
Iron Impurity ◽  
Nacl Solution ◽  
High Level

Mössbauer Study of Interactions between Radiation Defects and Iron Impurity Atoms in Neutron Irradiated Molybdenum

1979 ◽  
pp. 256-256
Author(s):  
A. K. Zhetbaev ◽  
Sh. Sh. Ibragimov ◽  
A. K. Shokanov
Keyword(s):  
Radiation Defects ◽  
Iron Impurity ◽  
Mössbauer Study ◽  
Impurity Atoms

Observation of iron impurity diffusion in silicon under bending stress by Mössbauer spectroscopy

2010 ◽  
pp. 213-217 ◽  
Author(s):  
K. Suzuki ◽  
Y. Yoshida ◽  
K. Hayakawa ◽  
K. Yukihira ◽  
M. Ichino ◽  
...  
Keyword(s):  
Mössbauer Spectroscopy ◽  
Mossbauer Spectroscopy ◽  
Impurity Diffusion ◽  
Bending Stress ◽  
Iron Impurity ◽  
Mößbauer Spectroscopy

scholarly journals Forecast model for estimating the service life of a diagnosed object based on the Neyman–Pearson method

2018 ◽  
Vol 216 ◽  
pp. 03011
Author(s):  
Sergey Barsukov ◽  
Sergey Pakhomov
Keyword(s):  
Service Life ◽  
Power Transformer ◽  
Impurity Content ◽  
Forecast Model ◽  
Threshold Value ◽  
Technical Condition ◽  
Transformer Oil ◽  
Average Risk ◽  
Iron Impurity ◽  
Object Based

The paper is aimed at developing a forecast model for estimating the service life of a diagnosed object based on the Neyman–Pearson method. It presents a procedure for selecting necessary and sufficient number of diagnostic indicators using the forecast model. The technique has been tested on the basis of a power transformer with a liquid dielectric. A condition-based operation strategy has been proposed for the transformer. According to this strategy, the iron impurity content in the dielectric liquid (oil) of the transformer should be measured every year of operation. Based on the forecast model, it is possible to calculate the variation of average risk (R) and a threshold value of iron impurity content in the transformer oil (k0) for each year of operation. Using these parameters, a reliable forecast model can be constructed to estimate the remaining service life of the transformer. The obtained relationships make it possible to identify a scientifically grounded stage in the service life of a diagnosed object, at which the number of measurable diagnostic indicators (indicators that are necessary for assessing the real technical condition of equipment) can be minimized.

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