A Polynomial Framework for Design of Drag Reducing Periodic Two-dimensional Textured Surfaces
Shabnam Raayai-Ardakani

TL;DR
This paper introduces a polynomial framework to design and compare textured surfaces with various cross-sectional profiles, demonstrating how specific shapes can reduce drag in Taylor-Couette flows through experimental and numerical validation.
Contribution
A novel polynomial-based method for defining and quantitatively analyzing textured surface profiles, enabling optimized drag reduction strategies in fluid flow applications.
Findings
Concave textures with height-to-half-spacing ≤ 1 reduce torque.
Second-order polynomial textures provide diverse physical responses.
The framework is adaptable to other surface properties beyond drag.
Abstract
Periodic and symmetric two-dimensional textures with various cross-sectional profiles have been employed to improve and optimize the physical response of the surfaces such as drag force, superhydrophobicity, and adhesion. While the effect of the height and spacing of the textures have been extensively studied, the effect of the shape of the textures has only been considered in qualitative manners. Here, a polynomial framework is proposed to mathematically define the cross-sectional profiles of the textures and offer a quantitative measure for comparing the physical response of the textured surfaces with various cross-sectional profiles. As a case study, textured surfaces designed with this framework are tested for their hydrodynamic frictional response in the cylindrical Couette flow regime in Taylor- Couette flows. With the reduction in torque as the objective, experimental and…
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Taxonomy
TopicsAerodynamics and Fluid Dynamics Research · Fluid Dynamics and Turbulent Flows · Lattice Boltzmann Simulation Studies
