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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 icon 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

Puni tekst: engleski, pdf (549 KB) str. 105-108 preuzimanja: 12* citiraj
APA 6th Edition
Shlomchak, G., Mamuzić, I., Shvachych, G., Мoroz, B., Udovyk, I., Fedorov, E. i Spilnyk, M. (2020). Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy . Metalurgija, 59 (1), 105-108. Preuzeto s https://hrcak.srce.hr/224777
MLA 8th Edition
Shlomchak, G., et al. "Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy ." Metalurgija, vol. 59, br. 1, 2020, str. 105-108. https://hrcak.srce.hr/224777. Citirano 14.10.2019.
Chicago 17th Edition
Shlomchak, G., I. Mamuzić, G. Shvachych, B. Мoroz, I. Udovyk, E. Fedorov i M. Spilnyk. "Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy ." Metalurgija 59, br. 1 (2020): 105-108. https://hrcak.srce.hr/224777
Harvard
Shlomchak, G., et al. (2020). 'Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy ', Metalurgija, 59(1), str. 105-108. Preuzeto s: https://hrcak.srce.hr/224777 (Datum pristupa: 14.10.2019.)
Vancouver
Shlomchak G, Mamuzić I, Shvachych G, Мoroz B, Udovyk I, Fedorov E i sur. Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy . Metalurgija [Internet]. 2020 [pristupljeno 14.10.2019.];59(1):105-108. Dostupno na: https://hrcak.srce.hr/224777
IEEE
G. Shlomchak, et al., "Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy ", Metalurgija, vol.59, br. 1, str. 105-108, 2020. [Online]. Dostupno na: https://hrcak.srce.hr/224777. [Citirano: 14.10.2019.]

Sažetak
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.

Ključne riječi
metallurgical thermophysics; coefficient tasks; extreme algorithms; mathematical models; heat transfer

Hrčak ID: 224777

URI
https://hrcak.srce.hr/224777

Posjeta: 24 *