论文标题
天然和仿生枫samaras的风散
Wind dispersal of natural and biomimetic maple samaras
论文作者
论文摘要
枫树（Genus $ \ textit {acer} $）通过产生由风缓慢下降到地面时，将物体分配到宽区域的任务，被称为萨马拉斯。为了支持工程应用程序，例如在广泛领域收集环境数据，我们开发了3D打印的人造Samaras。在这里，我们比较了天然和人造萨马拉斯在该领域的静止实验室实验和风散实验中的行为。我们表明，人工萨拉斯能够复制（在1个标准偏差之内）自然萨拉斯在实验室环境中的行为。我们进一步介绍了风格的概念以比较分散行为，并表明天然萨马拉的平均风速最高，对应于在大风和低风能实验试验中最长的飞行。这项研究为传感器的分散部署提供了一种生物启发的设计，并可以更好地理解对天然和人造撒马拉群岛的风转化。
Maple trees (genus $\textit{Acer}$) accomplish the task of distributing objects to a wide area by producing seeds which are carried by the wind as they slowly descend to the ground, known as samaras. With the goal of supporting engineering applications, such as gathering environmental data over a broad area, we developed 3D-printed artificial samaras. Here, we compare the behavior of both natural and artificial samaras in both still-air laboratory experiments and wind dispersal experiments in the field. We show that the artificial samaras are able to replicate (within 1 standard deviation) the behavior of natural samaras in a lab setting. We further introduce the notion of windage to compare dispersal behavior, and show that the natural samara has the highest mean windage, corresponding to the longest flights during both high wind and low wind experimental trials. This research provides a bioinspired design for the dispersed deployment of sensors and provides a better understanding of wind-dispersal of both natural and artificial samaras.
