Metallurgical thermophysics processes identification based on extreme algorithms of high order of accuracy

Autor: G. Shlomchak, I. Mamuzić, G. Shvachych, B. Мoroz, I. Udovyk, E. Fedorov, M. Spilnyk
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Metalurgija, Vol 59, Iss 1, Pp 105-108 (2020)
Druh dokumentu: article
ISSN: 0543-5846
1334-2576
Popis: 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.
Databáze: Directory of Open Access Journals