Metallurgy, Vol. 59 No. 1, 2020.
Preliminary communication
Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy
G. Shlomchak
; National Metallurgical Academy of Ukraine, Dnipro, Ukraine
I. Mamuzić
orcid.org/0000-0002-7968-7540
; University of Zagreb, Zagreb, Croatia
G. Shvachych
; National Metallurgical Academy of Ukraine, Dnipro, Ukraine
B. Мoroz
; University of Technology, Dnipro, Ukraine
I. Udovyk
; University of Technology, Dnipro, Ukraine
E. Fedorov
; Cherkasy State Technological University, Cherkasy, Ukraine
M. Spilnyk
; Pridneprovsk State Academy of Civil Engineering and Architecture, Dnipro, Ukraine
Abstract
The article is devoted the problem to researh the materials thermophysical properties by the inverse methods. Corresponding class of mathematical models is derived. The main research purpose is that the simulation models processing procedure as those that are controlled by input parameters, reduce, on the residual principle basis, to an extreme formulation. This approach allows to develop effective algorithms for solving quotient problems on simulation models of arbitrary accuracy order with adaptation of time modes of a thermophysical experiment. A package of applied problems had been developed for solving the coefficient problems of the heat-conductiving with the methods of mathematical simulation. Creation of package had been carried out considering the requirements of the object-oriented programming.
Keywords
metallurgical thermophysics; coefficient tasks; extreme algorithms; mathematical models; heat transfer
Hrčak ID:
224777
URI
Publication date:
1.1.2020.
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