Authors:
T. Anand, G. Madhan Kumar, K. Pradeep, P. S. Sheik Uduman, Saly Jaber
Addresses:
Department of Aeronautical Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India. Department of Petroleum Engineering, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Mathematics, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Analytical Chemistry, Saint Joseph University, Beirut, Lebanon.
Abstract:
As a result of its capacity to improve both hydrodynamic and aerodynamic efficiency, the extraordinary micro-textured surface of shark skin has garnered a great deal of interest from the scientific community. There are microscale riblet-like structures called dermal denticles on shark skin. These features naturally reduce drag and smooth the flow transition. The purpose of this research is to investigate the practical application of these biological properties using a dataset comprising 190 distinct flow cases and geometries. These powerful computational fluid dynamics solvers and specialised parametric modelling software are the primary tools utilised in this comprehensive investigation. These instruments are employed to represent a variety of atmospheric and aquatic situations. According to the findings, specific riblet heights and spacing intervals make a substantial contribution to boundary-layer stability, which in turn leads to significant changes in the lift-to-drag ratio. These biological principles, which have been synthesised to form the foundation of contemporary engineering, offer a blueprint for reducing fuel consumption in international sea transportation and commercial aircraft. Based on the findings of this study, the current state of the art in biomimetic design for improved vehicle efficiency was identified.
Keywords: Dermal Denticles; Boundary Layer; Biological Principles; Transition Structures; Parametric Modelling; Biomimetic Design; Vehicle Efficiency; Maritime Transport; Commercial Aviation.
Received on: 15/11/2024, Revised on: 08/01/2025, Accepted on: 01/04/2025, Published on: 03/03/2026
DOI: 10.64091/ATIAS.2026.000292
AVE Trends in Intelligent Applied Sciences, 2026 Vol. 2 No. 1 , Pages: 11-19