scholarly journals Quantitative Spectral Analysis. X. Determination of Lithium by Emission-Spectra

1938 ◽  
Vol 13 (2) ◽  
pp. 265-272 ◽  
Author(s):  
Arata Iwamura
Keyword(s):  
Spectral Analysis ◽  
Emission Spectra ◽  
Quantitative Spectral Analysis

scholarly journals Methodology of selecting the algorithms for optimization of arc spectral analysis

2019 ◽  
Vol 85 (1II)) ◽  
pp. 77-81
Author(s):  
D. E. Babenkov ◽  
V. I. Otmakhov ◽  
E. V. Petrova ◽  
Yu. A. Povesma ◽  
Yu. E. Salosina
Keyword(s):  
Spectral Analysis ◽  
Elemental Composition ◽  
Atomic Emission ◽  
Emission Spectral Analysis ◽  
Mineral Deposits ◽  
Atomic Emission Spectral Analysis ◽  
Quantitative Spectral Analysis

The goal of the study is the choice of algorithms for optimization of arc atomic emission spectral analysis with MAÉS to elaborate the techniques of quantitative spectral analysis of different objects. The choice of the algorithms is performed on an example of geologic objects with alumosilicate matrix. Determination of the elemental composition of such geological objects is important for obtaining markers, studying geochronological processes, and searching for mineral deposits.

About the possibility of identification of articles from steels, aluminum, copper and alloys on their basis on the expanded micro-impurity elemental composition

2021 ◽  
pp. 51-56
Author(s):  
Yu. B. Sazonov ◽  
D. Yu. Ozherelkov ◽  
R. Sh. Latypov ◽  
E. E. Gorshkov
Keyword(s):  
Spectral Analysis ◽  
Chemical Composition ◽  
Elemental Composition ◽  
Chemical Elements ◽  
Copper Alloys ◽  
Minimal Amount ◽  
Elementary Composition ◽  
Geometric Size ◽  
The Common

Possibility of determination of the fragments and articles made of different grades of steel aluminium and copper alloys and their affiliation to the common melt was examined via the methods of photoelectric spectral analysis based on composition of micro-impurities. Chemical elements with micro-impurities were revealed; they allow to determine affiliation of metal fragments to one melt. Ultimately possible deviations of micro-impurities within one melt were obtained. The technique allowing to establish affiliation of fragments to the common melt based on their elementary composition of micro-impurities with minimal amount of measurements was suggested based on the obtained results. The minimal geometric size of a sample available for analysis was determined; it allows to classify the examined fragments to one melt based on the results of investigation of expanded elementary composition of micro-impurities. Practical opportunities of this technique were displayed on the example of the alloys with different chemical composition.

Quantitative Spectral Analysis of Evolved Low-Mass Stars

2009 ◽  
Author(s):  
Klaus Werner ◽  
Thomas Rauch ◽  
Jeffrey W. Kruk ◽  
Ivan Hubeny ◽  
James M. Stone ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Low Mass Stars ◽  
Quantitative Spectral Analysis ◽  
Low Mass

scholarly journals Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples

2018 ◽  
Vol 8 (5) ◽  
pp. 4
Author(s):  
Conor White ◽  
James Uhomoibhi
Keyword(s):  
Spectral Analysis ◽  
Data Analytics ◽  
Oil Spills ◽  
Oil Pollution ◽  
Data Visualisation ◽  
Small Measure ◽  
Different Types ◽  
Engineering Pedagogy ◽  
Enhanced Learning

Big Data and Data Analytics have in recent times become important areas of focus in academia, in business and in society. This paper utilises experiments involving data visualisation of oil pollution studies and their effects on environment for enhanced learning in engineering education. Tracking and analysis of images and the use of accessible applications for the analysis of acquired data revealed the level of impact of the different types of oil pollution on grass vegetation. In accounting for these changes the primary RGB colours and corresponding values are used. The use of spectral analysis applications available in spectroscopy and comparison of results would in future prove useful in assessing some aspects of these changes in relation to wavelength and colours changes. The results of these studies would contribute in no small measure to the determination of best cleaning strategies for oil spills.

scholarly journals DETERMINATION OF TYPE AND MARK OF PROJECTILES BY METHOD OF X-RAY FLUORESCENCE SPECTRAL ANALYSIS IN THE STUDY OF PNEUMATICALLY SHOT INJURIOUS TO SOME CLOTHING MATERIALS

2016 ◽  
Vol 16 ◽  
pp. 391-398
Author(s):  
I. M. Kozachenko
Keyword(s):  
Spectral Analysis ◽  
Small Group ◽  
Elemental Composition ◽  
Medical Examination ◽  
X Ray ◽  
Qualitative And Quantitative ◽  
Foreign Production ◽  
Quantitative Analyses

The X-ray fluorescence spectral qualitative and quantitative analyses were performed for the elemental composition of 4 marks of bullets for pneumatic weapon of home and foreign production, and also for imitators of common clothing materials camouflage fabric and cotton knitwear. It is determined that lead bullets for pneumatic weapons are capable to introduce some elements of their composition, which are inherent in one or another mark of bullets, to the area of damage on certain clothing materials, in particular, camouflage fabric and cotton knitwear. This expands the possibilities of forensic medical examination when dealing with a problem of determining the type and mark of a bullet or of a small group of bullets similar in their elemental composition, due to which the pneumatical shot injuries of examined objects took place.

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