基于遗传算法的超疏水冷凝表面结构优化

Structural Optimization of Super-hydrophobic Condensation Surface Based on Genetic Algorithm

滴状冷凝是一种高效冷凝过程,是增强冷凝传热的重要措施。近年来发现滴状冷凝中弹跳凝结具有更高的换热系数,从而得到世界学者的关注。本文研究超疏水表面的弹跳凝结换热模型,并且基于遗传算法对超疏水表面结构进行换热优化。研究表面结构不同特征尺寸对换热性能的影响,得到一定条件下的最优表面结构特征。

Dropwise condensation is an efficient condensation process and an important measure to enhance condensation heat transfer.In recent years,it has been found that bouncing condensation in droplet condensation has a higher heat transfer coefficient,which has attracted the attention of scholars around the world.This paper studies the bounce condensation heat transfer model of super-hydrophobic surface,and optimizes the heat transfer of super-hydrophobic surface structure based on genetic algorithm.The effect of different feature sizes of the surface structure on the heat transfer performance is studied,and the optimal surface structure characteristics are obtained under certain conditions.