Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy (CROSBI ID 690552)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Shlomchak, G. ; Mamuzić, Ilija ; Shvachych, G. ; Мoroz, B. ; Udovyk, I. ; Fedorov, E. ; Spilnyk, M.
engleski
Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy
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. 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.
materials thermophysical properties ; inverse methods ; mathematical simulation
Konferencija je otkazana zbog pandemije COVID-19, ali su svi konferencijski materijali objavljeni.
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Podaci o prilogu
435-435.
2020.
objavljeno
Podaci o matičnoj publikaciji
Book of abstracts of the 14th International Symposium of Croatian Metallurgical Society - SHMD '2020, Materials and metallurgy (tiskano u: Metalurgija 59 (2020) 3)
Mamuzić, Ilija
Zagreb: Hrvatsko metalurško društvo
Podaci o skupu
14th International Symposium of Croatian Metallurgical Society "Materials and Metallurgy" (SHMD ‘2020)
poster
21.06.2020-26.06.2020
Šibenik, Hrvatska