1. Numerical simulations of bio-inspired approaches to enhance underwater swimming efficiency.
- Author
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Kumar, Rahul, Padhee, Srikant S., and Samanta, Devranjan
- Subjects
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SKIN diving , *MOBULIDAE , *VORTEX methods , *COMPUTER simulation , *AUTONOMOUS underwater vehicles , *SWIMMING competitions - Abstract
The present study discusses the numerical simulation results of swimming similar to manta rays. The complex three-dimensional kinematics of manta rays were implemented to unravel the intricacies of its propulsion mechanisms by using the discrete vortex method (DVM). The DVM replaces the requirement for a structured grid across the computational domain with a collection of vortex elements. This method simplifies grid generation, especially for intricate geometries, resulting in time and effort savings in meshing complex shapes. By modeling the pectoral fins with discrete panels and utilizing vortex rings to represent circulation and wake, the study accurately computes the pressure distribution, circulation distribution, lift coefficient, and thrust coefficient of the manta ray. This study focuses on the modulation of aerodynamic performance by altering the span length and the length change ratio during the downstroke and upstroke motion ( S V ). The manta ray's three-dimensional vortex configurations comprise a combination of vortex rings, vortex contrails, and horseshoe vortices. Analysis of the three-dimensional vortex structure indicates the presence of multiple vortex rings and horseshoe vortex rings at higher S V values, while adequate formation of horseshoe vortices is not observed at lower S V values. In terms of propulsive performance, both lift and thrust increase with S V , while the propulsive efficiency demonstrates its peak at S V = 1.75. The analysis reveals that at higher S V values, the net thrust generated primarily originates from the tip of the fins. Moreover, the study illustrates a significant enhancement in propulsive efficiency, particularly in association with optimal Strouhal numbers ranging between 0.3 and 0.4. The key findings of this study may be used in efficient design of agile autonomous underwater vehicles for marine exploration and surveillance applications. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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