Selection of the heat transfer coefficient using swarming algorithms

• Autorzy: Gawrońska Elżbieta , Dyja Robert , Zych Maria , Domek Grzegorz

Identyfikatory

DOI

10.2478/ama-2022-0039

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

swarm algorithm; ABC algorithm; ACO algorithm; heat transfer coefficient; computer simulation; numerical modelling

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2022
• Tom: Vol. 16, no. 4
• Strony: 325--339
• Opis fizyczny: Bibliogr. 24 poz., rys., tab., wykr.

Twórcy

autor

Gawrońska Elżbieta

• Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, ul. Dąbrowskiego 73, 42-201 Częstochowa, Poland

• https://orcid.org/0000-0003-1060-3641

autor

Dyja Robert

• Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, ul. Dąbrowskiego 73, 42-201 Częstochowa, Poland

• https://orcid.org/0000-0001-6941-4728

autor

Zych Maria

• Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, ul. Dąbrowskiego 73, 42-201 Częstochowa, Poland

• https://orcid.org/0000-0002-0406-6053

autor

Domek Grzegorz

• Faculty of Mechatronics, Kazimierz Wielki University, ul. Kopernika 1, 85-074 Bydgoszcz, Poland

• https://orcid.org/0000-0003-3566-9110

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).