scholarly journals FULL-SCALE ACCELERATED TESTS OF ALUMINUM ALLOYS AT CONTINENTAL AND MARINE TYPE STATIONS

2020 ◽  
pp. 57-65
Author(s):  
M.G. Abramova ◽  
Keyword(s):  
Aluminum Alloys ◽  
Full Scale ◽  
Accelerated Tests

Full-scale accelerated tests of aluminum alloys under exposure to marine atmosphere

2013 ◽  
Vol 49 (7) ◽  
pp. 891-893
Author(s):  
S. A. Kharimova ◽  
V. P. Zhilikov ◽  
A. A. Mikhailov ◽  
D. V. Chesnokov ◽  
T. N. Igonin ◽  
...  
Keyword(s):  
Aluminum Alloys ◽  
Full Scale ◽  
Marine Atmosphere ◽  
Accelerated Tests

scholarly journals Influence of full-scale climatic tests on the properties of aluminum alloys in zones of river and marine water mixture

2021 ◽  
Vol 1155 (1) ◽  
pp. 012022
Author(s):  
N I Bulysheva ◽  
E A Varchenko ◽  
A V Nazarenko ◽  
G Yu Glushchenko ◽  
A A Goncharov ◽  
...  
Keyword(s):  
Aluminum Alloys ◽  
Full Scale ◽  
Marine Water ◽  
Water Mixture

Investigation of corrosion damage of wrought aluminium alloys at full-scale accelerated tests. Part 2. Pitting corrosion

2019 ◽  
pp. 175-187
Author(s):  
M. Kurs ◽  
A. Goncharov
Keyword(s):  
Pitting Corrosion ◽  
Laser Scanning ◽  
Corrosion Damage ◽  
Full Scale ◽  
Laser Scanning Microscopy ◽  
Accelerated Tests ◽  
Corrosion Failure ◽  
Accuracy Of Measurements

The paper presents the results of a study of pitting corrosion of aluminum alloys of seven doping systems after testing by the full-scale accelerated method. The advantages of the method of laser scanning microscopy in the analysis of pitting corrosion are shown, which makes it possible to improve significantly the accuracy of measurements in comparison with the metallographic method. Peculiarities of the kinetics of pitting growth under long-term, accelerated tests were studied, the role of pitting corrosion in the part of characterizing the alloy’s susceptibility to local corrosion failure was shown. 

Improved Accelerated Testing for Localized Corrosion Susceptibility of High-Strength Aluminum Alloys

2014 ◽  
Vol 794-796 ◽  
pp. 223-228 ◽  
Author(s):  
Mary E. Parker ◽  
Robert G. Kelly
Keyword(s):  
Aluminum Alloys ◽  
Cross Section ◽  
Corrosion Potential ◽  
High Strength ◽  
Localized Corrosion ◽  
Electrochemical Kinetics ◽  
Accelerated Tests ◽  
Aluminum Lithium ◽  
Corrosion Susceptibility ◽  
High Strength Aluminum Alloys

Several accelerated tests for high-strength aluminum alloys, such as ASTM G34, ASTM G85 Annex 2, and ASTM G110 can produce significantly different results in third generation aluminum lithium (Al-Li) alloys. In this study, the reason for this inconsistency is investigated by comparing the electrochemical kinetics for AA2060 to those of AA2090 as well as legacy alloy AA7075-T6, and by comparing the performance of AA2060 in ASTM G110 and ASTM G85. The corrosion potential of AA2060 was found to be higher than that of AA7075-T6 and AA2060-T8E41. Also, it was found that although ASTM G110 does not produce exfoliation in AA 2060-T3 as in ASTM G85, the type of attack observed in cross-section is very similar in both tests.

Analytical Electron Microscopy Study of Second-Phase Particles in 7075 and 7475 Aluminum Alloys

1985 ◽  
Vol 43 ◽  
pp. 348-349
Author(s):  
M. Raghavan ◽  
J. Y. Koo ◽  
J. W. Steeds ◽  
B. K. Park
Keyword(s):  
Aluminum Alloys ◽  
Silicon Oxide ◽  
Analytical Electron Microscopy ◽  
Microscopy Study ◽  
Electron Microscopy Study ◽  
Partial Substitution ◽  
Second Phase ◽  
X Ray ◽  
Second Phase Particles ◽  
Almost All

X-ray microanalysis and Convergent Beam Electron Diffraction (CBD) studies were conducted to characterize the second phase particles in two commercial aluminum alloys -- 7075 and 7475. The second phase particles studied were large (approximately 2-5μm) constituent phases and relatively fine ( ∼ 0.05-1μn) dispersoid particles, Figures 1A and B. Based on the crystal structure and chemical composition analyses, the constituent phases found in these alloys were identified to be Al7Cu2Fe, (Al,Cu)6(Fe,Cu), α-Al12Fe3Si, Mg2Si, amorphous silicon oxide and the modified 6Fe compounds, in decreasing order of abundance. The results of quantitative X-ray microanalysis of all the constituent phases are listed in Table I. The data show that, in almost all the phases, partial substitution of alloying elements occurred resulting in small deviations from the published stoichiometric compositions of the binary and ternary compounds.

Relation of Statistically Significant, Abnormal, and Typical WAIS-R VIQ-PIQ Discrepancies to Full Scale IQs

2000 ◽  
Vol 16 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Louis M. Hsu ◽  
Judy Hayman ◽  
Judith Koch ◽  
Debbie Mandell
Keyword(s):  
Graphical Method ◽  
The United States ◽  
Full Scale ◽  
True Score ◽  
Absolute Value ◽  
Normative Population ◽  
The Us ◽  
The Mean ◽  
And Performance ◽  
Quadratic Models

Summary: In the United States' normative population for the WAIS-R, differences (Ds) between persons' verbal and performance IQs (VIQs and PIQs) tend to increase with an increase in full scale IQs (FSIQs). This suggests that norm-referenced interpretations of Ds should take FSIQs into account. Two new graphs are presented to facilitate this type of interpretation. One of these graphs estimates the mean of absolute values of D (called typical D) at each FSIQ level of the US normative population. The other graph estimates the absolute value of D that is exceeded only 5% of the time (called abnormal D) at each FSIQ level of this population. A graph for the identification of conventional “statistically significant Ds” (also called “reliable Ds”) is also presented. A reliable D is defined in the context of classical true score theory as an absolute D that is unlikely (p < .05) to be exceeded by a person whose true VIQ and PIQ are equal. As conventionally defined reliable Ds do not depend on the FSIQ. The graphs of typical and abnormal Ds are based on quadratic models of the relation of sizes of Ds to FSIQs. These models are generalizations of models described in Hsu (1996) . The new graphical method of identifying Abnormal Ds is compared to the conventional Payne-Jones method of identifying these Ds. Implications of the three juxtaposed graphs for the interpretation of VIQ-PIQ differences are discussed.

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