Mechanical Engineering Department, Villanova University, 800 Lancaster Ave., Villanova, PA, 19085, USA.
Sci Rep. 2023 Jul 12;13(1):11278. doi: 10.1038/s41598-023-38381-6.
Here we document the deterministic evolution of capillary networks that morph by connecting more and more branches to water sources. The network grows with the objective of extracting in steady state higher and higher liquid flow rates. Growth happens through the generation of tree-shaped structures and the geometrical configuration of the dendritic network evolves as the number of connected sources increases. We present a novel methodology to generate capillary architectures and show how the evolution of the network leads to pump higher volumetric flow rates by capillary suction. The results suggest that networks generated within a plane lead to higher flow rates than networks generated within a three-dimensional domain, for the same volume of fluid.
在这里，我们记录了毛细血管网络的确定性演化，这些网络通过将越来越多的分支连接到水源上来形态发生变化。该网络的生长目标是在稳定状态下提取越来越高的液体流速。生长通过生成树状结构来实现，并且随着连接源数量的增加，树枝状网络的几何形状也会发生变化。我们提出了一种新的生成毛细血管结构的方法，并展示了网络的演化如何通过毛细抽吸来提高泵的体积流量。结果表明，对于相同的流体体积，在平面内生成的网络比在三维域内生成的网络产生更高的流速。
