热传导现象计算机模拟过程中输入参数对蜂群算法优化数值计算的影响

Pub Date : 2022-12-01 DOI:10.17512/jamcm.2022.4.10
M. Zych, E. Gawrońska, R. Dyja, P. Krawiec
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引用次数: 0

摘要

. 本文介绍了蜂群算法在热传导中的应用,考虑了边界条件(IV型)的连续性。在计算机模拟中,给出了蜂群算法和蚁群算法的输入参数以及镶嵌对铸模和铸件之间热传导系数选择的影响。对两种不同的有限元网格、不同的个体数量和不同的迭代次数进行了结果比较。本文还考虑了参考温度扰动的大小作为数值计算的输入温度。分析表明,在连续性条件下再现导热系数值的相对误差不超过该系数参考值的1.5%。
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Impact of input parameters on numerical calculations optimized by swarming algorithms during computer simulations of the heat conduction phenomenon
. 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.
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