Issues »  Volume 41, Issue 2

Intelligent Precise Goniometric System of Analysis of Spectral Distribution Intensities for Definition of Chemical Composition of Metal-Containing Substances

I. Cherepanska$^{1}$, O. Bezvesilna$^{2}$, Yu. Koval$^{3}$, A. Sazonov$^{1}$

$^{1}$Zhytomyr State Technological University, 103 Chudnivska Str., UA-10005 Zhytomyr, Ukraine
$^{2}$National Technical University of Ukraine ‘Igor Sikorsky Kyiv Polytechnic Institute’, 37 Peremohy Ave., UA-03056 Kyiv, Ukraine
$^{3}$G. V. Kurdyumov Institute for Metal Physics, NAS of Ukraine, 36 Academician Vernadsky Blvd., UA-03142 Kyiv, Ukraine

Received: 10.12.2018. Download: PDF

The article dedicated to urgent task—definition of chemical composition of metal-containing substances. The new precise intelligent goniometric system, which contains laser goniometer, CMOS image sensor, and artificial neural network, is proposed. This system combines the advantages such as safety for humans and environment, high productivity, usage simplicity, universality, automated processing of the measuring data.

Key words: laser goniometer, chemical composition, spectral distribution, artificial neural network, saturation current, wavelength of light, photocell sensitivity.

URL: http://mfint.imp.kiev.ua/en/abstract/v41/i02/0263.html

DOI: https://doi.org/10.15407/mfint.41.02.0263

PACS: 07.05.Mh, 07.60.-j, 78.30.Er, 78.40.Kc, 81.70.Jb, 82.80.-d

Citation: I. Cherepanska, O. Bezvesilna, Yu. Koval, and A. Sazonov, Intelligent Precise Goniometric System of Analysis of Spectral Distribution Intensities for Definition of Chemical Composition of Metal-Containing Substances, Metallofiz. Noveishie Tekhnol., 41, No. 2: 263—278 (2019)

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