Scientists have determined the ideal wing shape for fast flapping flight — an advance that may lead to better methods for harvesting energy from water as well as for enhancing airspeed.
The research, published in the journal Proceedings of the Royal Society A, relies on a technique that mimics evolutionary biology to ascertain which structure yields the best pace.
“We can simulate biological evolution in the lab by generating a population of wings of different shapes, have them compete to achieve some desired objective, in this case, speed, and then have the best wings ‘breed’ to make related shapes that do even better,” said Leif Ristroph, an assistant professor at New York University in the US.
The researchers created 3D-printed wings that are flapped mechanically and raced against one another, with the winners “breeding” via an evolutionary or genetic algorithm to create ever faster flyers.
In order to mimic this breeding process, the researchers began the experiment with 10 different wing shapes whose propulsion speeds were measured.
The algorithm then selected pairs of the fastest wings (“parents”) and combined their attributes to create even-faster “daughters” that were then 3D-printed and tested.
They repeated this process to create 15 generations of wings, with each generation yielding offspring faster than the previous one.
“This ‘survival of the fastest’ process automatically discovers a quickest teardrop-shaped wing that most effectively manipulates the flows to generate thrust,” said Ristroph.
“Because we explored a large variety of shapes in our study, we were also able to identify exactly what aspects of the shape were most responsible for the strong performance of the fastest wings,” he said.
The results showed that the fastest wing shape has a razor-thin trailing edge, which helps to generate strong vortices or swirling flows during flapping.
The wing leaves a trail of these eddies as it pushes off the fluid to propel forward.
“We view the work as a case study and proof-of-concept for a much broader class of complex engineering problems, especially those that involve objects in flows, such as streamlining the shape to minimise drag on a structure,” Ristroph said.
“We think this could be used, for example, to optimise the shape of a structure for harvesting the energy in water waves,” he said.