Impact of Input Parameters on Numerical Calculations Optimized by Swarming Algorithms During Computer Simulations of the Heat Conduction Phenomenon
[ 1 ] Instytut Konstrukcji Maszyn, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] pracownik
2022
artykuł naukowy
angielski
- computational mechanics
- thermomechanics
- swarming algorithms
- heat conduction
EN 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.
107 - 118
CC BY-NC-ND (uznanie autorstwa - użycie niekomercyjne - bez utworów zależnych)
otwarte czasopismo
ostateczna wersja opublikowana
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publiczny
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