Zobrazeno 1 - 10
of 23
pro vyhledávání: '"S. A. Savchenkov"'
Publikováno v:
Non-ferrous Metals. :65-72
Publikováno v:
CIS Iron and Steel Review. :76-82
Iron and steel industry is one of the industrial branches making substantial input in provision of economic growth in Russian Federation; in this connection, innovation development of the metallurgical industry is rather important. The patent researc
Publikováno v:
Non-ferrous Metals. :35-40
Publikováno v:
Crystals, Vol 11, Iss 1353, p 1353 (2021)
Crystals; Volume 11; Issue 11; Pages: 1353
Crystals; Volume 11; Issue 11; Pages: 1353
Aluminum master alloys with rare earth metals are widely studied by many scientists around the world, but research on the production of Al-Er master alloys is still limited. The purpose of this work is to study the microstructure parameters of alumin
Autor:
V. V. Balashenko, S. S. Savchenkov
Publikováno v:
Zhurnal Economicheskoj Teorii. 17:328-335
Publikováno v:
Medical alphabet. 2:46-51
The article presents a clinical case of successful treatment of a patient with prolonged asthmatic status. The pathogenesis of purulent-septic and other life-threatening complications developing as a result of the above critical condition is describe
Publikováno v:
Russian Metallurgy (Metally). 2019:795-802
Differential thermal analysis (DTA) is used to study the processes that occurr upon the interaction of yttrium fluoride with sodium fluoride and potassium chloride, which are used as a flux during metallothermic synthesis of an Mg–Y master alloy. M
Publikováno v:
Metallurgist. 63:394-402
The article is devoted to studying synthesis of magnesium master alloys with neodymium for smelting ferrous and nonferrous metals. A salt composition is selected based on analysis of composition diagrams and flux requirements for melting magnesium al
Autor:
S. А. Savchenkov
Publikováno v:
Tsvetnye Metally. :33-39
Publikováno v:
Symmetry, Vol 13, Iss 1293, p 1293 (2021)
Symmetry; Volume 13; Issue 7; Pages: 1293
Symmetry
Symmetry; Volume 13; Issue 7; Pages: 1293
Symmetry
This article takes an approach to creating a machine learning model for the oil and gas industry. This task is dedicated to the most up-to-date issues of machine learning and artificial intelligence. One of the goals of this research was to build a m