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FURTHER STUDY ON THE HEAT CONDUCTION AUGMENTATION BASED ON BIONIC OPTIMIZATION

机译:基于仿生优化的传热强化的进一步研究

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摘要

The uniformity principle of temperature gradient field used in bionic optimization method is proved by variational calculus. The analytical solution of the volume-to-point problem also shows that the more uniform the temperature gradient field, the higher the performance of the heat conduction optimization. Uniformity principles widely exist in transport phenomena in nature. Considering random factors also affect the evolution process in nature, a probabilistic rule is developed to improve the bionic optimization method for heat conduction optimization, which could construct a branched pattern more close to the natural shape. The reason for the formation of branch-like construct is that the uniformity principle of gradient field possessed an instability that amplifies any small irregularities, causing them to extend into branches.
机译:通过变分法证明了仿生优化方法中温度梯度场的均匀性原理。体积对点问题的解析解还显示,温度梯度场越均匀,导热优化的性能就越高。均匀性原理广泛存在于自然界的运输现象中。考虑到随机因素也会影响自然界的演化过程,因此提出了一个概率规则来改进用于热传导优化的仿生优化方法,该方法可以构建更接近自然形状的分支模式。形成分支状构造的原因是,梯度场的均匀性原理具有不稳定性,该不稳定性会放大任何小的不规则性,从而导致它们扩展为分支。

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