Published December 9, 2021 | Version v1
Dataset Open

Input data for estimating dimensionless number (Reynolds, Swimming and Strouhal number) of swimming penguin

  • 1. RMIT University
  • 2. Charles University

Description

Propulsion performance of swimming and flying animals is often evaluated by using dimensionless numbers, such as the Strouhal and Reynolds numbers. They have been shown to allow better understanding of locomotion efficiency, using relatively simple approaches and avoiding overly complex computational models. Specifically, it has been reported that efficient propulsion is more likely to occur when Strouhal number values – estimated from propulsive frequencies and amplitudes – are within a relatively narrow range, depending on the corresponding Reynolds number, broadly expressing the fluid resistance to the animal motion. We have estimated both Strouhal and Reynolds numbers for seven species of penguins after analysing relevant kinematic data taken from the literature. The obtained values neatly indicate that, as expected, penguins employ efficient propulsion mechanisms. Additionally, by comparing these values with those for alcids – seabirds that can also fly – we have found that penguins swim at least as efficiently as alcids. However, we have also found that the swimming number – proportional to the product of Strouhal and Reynolds numbers – neatly correlates to the diving abilities of the considered species and apparently indicates, in a straightforward hierarchical manner, the gains in diving due to the loss of flying abilities. Within the penguin species, a clear correlation is also observed between diving performance and drag coefficient values.

Notes

Funding provided by: Grantová Agentura České Republiky
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001824
Award Number: 19-00939S

Files

Details_information_about_the_Tables.txt

Files (38.0 kB)

Name Size Download all
md5:a88876c5c79eab028181e22f40feec2c
4.3 kB Preview Download
md5:01c3a46e091de5f6262d2c6ff4514e54
11.1 kB Download
md5:cd2ae0cea2df09189739604914be4a92
11.2 kB Download
md5:033bc56e0a3b4ff5edff37f7d5ad595e
11.3 kB Download