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本文以体点导热问题为例,通过数值模拟计算,从点生长速度和面生长速度两个方面探讨了仿生优化中生长速度对体点导热问题优化结果的影响。由于在网格密度相同的情况下,每次生长出来的高导热率材料数量不同,优化结果有明显差异。本文在此基础上加入自组织过程,消除生长速度对优化结果的影响。在点生长速度相同的情况下,对不同网格密度下的求解区域进行计算,对面生长速度对优化效果的影响进行了讨论。
In this paper, the problem of body-point thermal conductivity is taken as an example. The effect of growth rate on the optimization results of body-point thermal conductivity is discussed from two aspects of point growth rate and surface growth rate through numerical simulation. Due to the different grid density, the number of high thermal conductivity materials grown at each time is different, and the optimization results are obviously different. Based on this, this article adds a self-organizing process to eliminate the impact of growth rate on the optimization results. In the case of the same point growth rate, the solution area under different grid densities is calculated, and the effect of opposite growth velocity on the optimization effect is discussed.