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Wyświetlanie 1-2 z 2
Tytuł:
Selection of the heat transfer coefficient using swarming algorithms
Autorzy:
Gawrońska, Elżbieta
Dyja, Robert
Zych, Maria
Domek, Grzegorz
Powiązania:
https://bibliotekanauki.pl/articles/2204686.pdf
Data publikacji:
2022
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
swarm algorithm
ABC algorithm
ACO algorithm
heat transfer coefficient
computer simulation
numerical modelling
Opis:
The article presents the use of swarming algorithms in selecting the heat transfer coefficient, taking into account the boundary condition of the IV types. Numerical calculations were made using the proprietary TalyFEM program and classic form of swarming algorithms. A function was also used for the calculations, which, during the calculation, determined the error of the approximate solution and was minimalised using a pair of individually employed algorithms, namely artificial bee colony (ABC) and ant colony optimisation (ACO). The tests were carried out to select the heat transfer coefficient from one range. Describing the geometry for a mesh of 408 fine elements with 214 nodes, the research carried out presents two squares (one on top of the other) separated by a heat transfer layer with a κ coefficient. A type III boundary condition was established on the right and left of both edges. The upper and lower edges were isolated, and a type IV boundary condition with imperfect contact was established between the squares. Calculations were made for ABC and ACO, respectively, for populations equal to 20, 40 and 60 individuals and 2, 6 and 12 iterations. In addition, in each case, 0%, 1%, 2% and 5% noise of the reference values were also considered. The obtained results are satisfactory and very close to the reference values of the κ parameter. The obtained results demonstrate the possibility of using artificial intelligence (AI) algorithms to reconstruct the IV type boundary condition value during heat conduction modelling.
Źródło:
Acta Mechanica et Automatica; 2022, 16, 4; 325--339
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact of input parameters on numerical calculations optimized by swarming algorithms during computer simulations of the heat conduction phenomenon
Autorzy:
Zych, Maria
Gawrońska, Elżbieta
Dyja, Robert
Krawiec, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2202050.pdf
Data publikacji:
2022
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
computational mechanics
thermomechanics
swarming algorithm
heat conduction
mechanika komputerowa
termomechanika
algorytm roju
przewodzenie ciepła
Opis:
The article presents the application of swarming algorithms in heat conduction, taking into account the continuity of the boundary condition (type IV). The influence of the input parameters of the bee and ant algorithm and tessellation on the selection of the heat conduction coefficient between the casting mold and the casting in computer simulations was presented. The results were compared for two different finite element grids, a different number of individuals, and a different number of iterations. The study also considered the magnitude of the reference temperature disturbance as the input temperature for numerical calculations. The analysis showed that the relative error of reproducing the value of the thermal conductivity coefficient in the continuity condition did not exceed 1.5% of the reference value of this coefficient.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2022, 21, 4; 107--118
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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