Shortfin mako sharks have been called the “cheetahs of the ocean,” capable of swimming at estimated speeds of 70 or 80 miles per hour. To investigate just how the animals achieve this impressive feat, aeronautical engineer Amy Lang of the University of Alabama and colleagues tested real mako shark skin samples, taken from the flank region of the animal, in water tunnel experiments.

The work will be described this week at the 2019 American Physical Society March Meeting in Boston. Lang will be part of a press conference at the meeting describing the work. Information for logging on to watch and ask questions remotely is included at the end of this news release.

Lang and her colleagues were specifically interested in the effect of approximately 0.2-millimeter-sized flexible scales located at particular locations on the shark’s body, such as on the flank and the fins. The scales can flex at angles in excess of 40 degrees from the body—but only in the direction of reversing flow. In other words, if you were to run your hand over the shark from nose to tail, the skin would feel smooth; in the other direction, it would feel rough like sandpaper. The resistance to your hand is also a resistance to the flow of water. “It impedes the flow from reversing near the skin, which would otherwise lead to what we call flow separation,” Lang said.

Flow separation is the most influential source of drag on an aircraft, called pressure drag. “This is the drag you experience if you stick your hand out your car window vertical to the airflow,” said Lang, an engineer with a focus on experimental fluid dynamics.

On the front of your hand, there is high pressure pushing back. And on the back of your hand, there is low pressure pushing forward. Summing the pressure forces together produces a net force of drag. The same is true any time a flow separates, even on a smooth body like a shark—or a golf ball, she said.

Find your dream job in the space industry. Check our Space Job Board »

“The dimples on a golf ball are an example of separation control that reduces pressure drag by maintaining attached flow around the ball and reducing the size of the wake. You can hit a golf ball with dimples 30 percent farther than if the same ball were smooth,” Lang said.

Using a technique called digital particle image velocimetry to produce detailed measurements of the water flow velocity over and around the skin, Lang and her team discovered that flow separation was indeed being controlled by a “passive bristling” capability of the microscopic surface geometry of the shark’s scales.

“We set up an experiment in the tunnel with a measured amount of flow separation induced on a smooth surface. Then we replaced the smooth surface with shark skin and requantified the flow separation,” Lang explained. “In all cases with the flank skin, we saw the size of the separated flow region reduced significantly by the presence of the skin.”

The work, which was funded in part by Boeing and the U.S. Army, could lead to new designs to reduce drag on aircraft and helicopters, increasing their agility. “The potential for a man-made surface to utilize this entirely passive mechanism even in air is very exciting,” Lang said.

Provided by: American Physical Society 

More information: 
Amy Lang et al. Experimental Evidence of Passive Separation Control by Shortfin Mako Shark Scale Bristling. APS March Meeting (2019). 

Image: Photograph of shortfin mako shark scales which each measure about 0.2 millimeters in length. The front row of scales has been manually bristled to their maximum angle of about 50 degrees by the biologist, orientation is that flow from nose to tail would pass from left to right over the skin. Scales are translucent denticles, and feel like tiny loose teeth covering the whole shark. These scales with greatest bristling capability are from the flank region behind the gills.
Credit: Phil Motta at the University of South Florida

Previous articleAsteroids are stronger, harder to destroy than previously thought
Next articleProtocells use DNA logic to communicate and compute