Wind Dispersal of Natural and Biomimetic Maple Samaras
Gary K Nave1, Nathaniel Hall1, Katrina Somers2
1Engineering Mechanics Program, Virginia Tech, Blacksburg, VA 24061, USA.
Biomimetics (Basel, Switzerland)
|April 3, 2021
Summary
Engineers created 3D-printed artificial samaras mimicking maple seeds for widespread environmental data collection. These artificial samaras replicate natural seed behavior, offering insights into wind dispersal for bioinspired engineering applications.
Area of Science:
- Biomimetics and Engineering
- Plant Sciences
- Fluid Dynamics
Background:
- Maple trees (genus *Acer*) disperse seeds (samaras) via wind-assisted autorotation.
- Understanding seed dispersal mechanisms is crucial for ecological and engineering applications.
- Bioinspired designs can leverage natural processes for technological advancement.
Purpose of the Study:
- To develop and evaluate 3D-printed artificial samaras for engineering applications.
- To compare the flight and dispersal behavior of artificial samaras with natural maple samaras.
- To investigate the potential of artificial samaras for sensor deployment.
Main Methods:
- Development of 3D-printed artificial samaras.
- Laboratory experiments in still air to observe autorotation and descent.
- Field experiments to assess wind dispersal under varying wind conditions.
- Analysis of dispersal behavior using the concept of windage.
Main Results:
- Artificial samaras successfully replicated the behavior of natural samaras in laboratory settings (within one standard deviation).
- Natural samaras exhibited the highest mean windage, resulting in longer flight distances in both high and low wind conditions.
- Dispersal behavior was quantitatively compared between natural and artificial samaras.
Conclusions:
- The study demonstrates a successful bioinspired design for artificial samaras.
- The findings provide a deeper understanding of wind-dispersal mechanisms for both natural and artificial samaras.
- This research supports the potential application of artificial samaras for dispersed sensor deployment.
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