name
Glushko Sergey Petrovich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
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Organization, job position
• Kuban State Technological University
Research interests
Web site url
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Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 2
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
At the nodes of the various machines, we use plain bimetal bearings: a steel base - antifriction cladding layer. Bimetal bearings have increased performance. One of the ways of making such bearings is the way of centrifugal bimetallization with heating of the independent electric arc. An important requirement of this technology is a uniform heating of the workpiece along the entire length until the formation of a continuous layer of the molten cladding material. The process of bimetallization require temperature control, since within the movement of the electric arc, low heat or high heat are possible due to heat dissipation from the ends of the workpiece in the installation and from the outer surface of the workpiece to the environment. A viable option the temperature control of the heat process of bimetallization for industrial conditions is to control the temperature of the outer surface of the steel base. It is necessary to solve the heat problem of the relationship between the temperature on the surface of the workpiece with the temperature on the boundary layers. For this purpose the numerical solution of the mathematical model of the thermal process, which includes the heat transmitting equation of Fourier and heat transfer at the ends of the sleeve according to Newton's law. The equivalent coefficients of heat transfer are obtained based on calculated and experimental thermograms. This is a time-consuming work. To minimize the time of fixing the boundary value problem of the thermal process of bimetallization, in this work we present the preliminary modeling based on the analytical solution of the thermal task of bi-metallization
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DEVELOPING OF DEVICE FOR EXPERT DIAGNOSTIC SYSTEMS BASED ON FUZZY LOGIC OF NEURAL NETWORKS
Description
The article is an example of a device that based on fuzzy logic, capable determine the health of the technological system on indirect physical parameters
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