Determination of suitable wavelengths in dye concentration estimation by spectral analysis of K/S’s scalability

2021 ◽  
Author(s):  
Mahdi Safi ◽  
Farhad Ameri ◽  
Keivan Ansari
Keyword(s):  
Spectral Analysis ◽  
Concentration Estimation

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.

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.

Determination of background concentrations for air quality models using spectral analysis and filtering of monitoring data

2010 ◽  
Vol 44 (1) ◽  
pp. 106-114 ◽  
Author(s):  
O. Tchepel ◽  
A.M. Costa ◽  
H. Martins ◽  
J. Ferreira ◽  
A. Monteiro ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Air Quality ◽  
Monitoring Data ◽  
Background Concentrations ◽  
Quality Models

scholarly journals Fourier Transform Infrared Spectral Analysis of Polyisoprene of a Different Microstructure

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Dongmei Chen ◽  
Huafeng Shao ◽  
Wei Yao ◽  
Baochen Huang
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Spectral Analysis ◽  
Fourier Transform ◽  
Magnetic Resonance ◽  
Detailed Analysis ◽  
Fourier Transform Infrared ◽  
Ftir Spectra ◽  
H Nmr ◽  
Infrared Spectral

Some polyisoprene samples of different microstructure contents were studied by Fourier transform infrared (FTIR) and1H Nuclear magnetic resonance (1H NMR). On the basis of detailed analysis of FTIR spectra of polyisoprene, the shift of absorption peaks caused by microstructure content’s variation was discussed. The contents of the polyisoprene samples’ microstructure which was determined by the1H NMR was used as the standard. Through the choice, calculation, and comparison with the corresponding absorption peaks of FTIR, a method based on the results of the analysis has been developed for the determination of the microstructure contents of polyisoprene by FTIR.

Determination of Optimum Sensor Positions for Defect Detection on Revolving Machines by a Finite Element Vibration Analysis

2000 ◽  
Author(s):  
F. Bogard ◽  
K. Debray ◽  
Y. Q. Guo ◽  
A. Pavan
Keyword(s):  
Finite Element ◽  
Spectral Analysis ◽  
Element Model ◽  
Industrial Applications ◽  
Vibration Monitoring ◽  
Tangent Stiffness Matrix ◽  
Main Research ◽  
Optimum Sensor ◽  
Sensor Positions

Abstract The vibration monitoring is largely used to detect the defects in the revolving machines. The determination of the best sensor positions is one of main research goals in the domain of the conditional maintenance. This paper proposes a numerical methodology based on a finite element model and a spectral analysis in order to find optimum sensor positions. The bearing is considered as a key component in vibration propagation from the moving parts to static ones. In this paper, we use an analytical bearing model and its numerical implementation in a FE code. The tangent stiffness matrix of the bearing element is calculated by the Newton-Raphson method and then introduced into the modal and spectral analysis. The technique of “Mode Shape Summation Plot” (MSSP) is adopted to find the most sensitive zones to usual defects. The proposed numerical approach gives good agreements with the experimental results. A real grinder modeling shows its interesting industrial applications.

Sign in / Sign up

Export Citation Format

Share Document