Biomimetic flow control techniques for aerospace applications: a comprehensive review

Rose, Jeremy; Natarajan, Shankar; Gopinathan, V. T.

doi:10.1007/s11157-021-09583-z

Cited by 32 publications

(27 citation statements)

References 149 publications

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“…It indicates that the difference in the results with medium mesh refinement is negligible in comparison with the fine mesh settings. Similarly, the grid independence study of symmetric profile (NACA 0015) is also performed and the outcomes are reported by Rose et al 40 in the earlier works. Hence, the medium refinement settings were finalized for the computational investigation of rectangular wing profiles with LE tubercles.…”

Section: Computational Mesh Generation and Numerical Simulationmentioning

confidence: 89%

Aerodynamic performance characterization of bio-inspired wings with leading edge tubercles at low Reynolds number

Gopinathan

Rose

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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On the observation of biomimetic Humpback Whale (HW) flippers, the airfoil aerodynamic performance characteristics are explored. The Leading Edge (LE) tubercle geometry was inspired by the flipper of HW that has rounded LE protuberances and tapered trailing edge configurations. The tubercles have excellent flow control characteristics at the post-stall region. Aerodynamic characteristics of airfoils such as NACA0015 and NACA4415 with LE tubercles are experimentally and numerically investigated at the low Reynolds number about Re = 1.83 × 105. The bio-inspired modified airfoils (HUMP 0015 and 4415) are designed with the amplitude to wavelength ratio [Formula: see text] of 0.05. The numerical simulation over the modified airfoils shows that, at higher Angle of Attack the flow separation is delayed in the peak region whereas the early flow separation is observed in the trough region adjacent to the LE. The boundary layer flow separation analysis is done extensively through numerical simulations and the velocity vector profiles are captured at different chordwise positions. The stall delay phenomenon is observed through the outcome of this research that specifically insists at the peak region of tubercles. Computation of Coefficient of pressure [Formula: see text] distribution is also done by both numerical and wind tunnel experiments. Analysis of [Formula: see text] distribution allows the identification of critical regions that initiate the adverse pressure gradient and region of flow separation. It is a novel effort to predict the Coefficients of Lift [Formula: see text] and Drag [Formula: see text] concerning the bio-inspired airfoils through [Formula: see text] distribution such that the influence of flow separation and vortex distribution are characterized for the modified and baseline airfoils. Comparison of [Formula: see text], [Formula: see text], and [Formula: see text] between the baseline and modified airfoils reveal the enhanced momentum transfer characteristics of bio-inspired tubercles.

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Section: Computational Mesh Generation and Numerical Simulationmentioning

confidence: 89%

Aerodynamic performance characterization of bio-inspired wings with leading edge tubercles at low Reynolds number

Gopinathan

Rose

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…A potential solution to improve existing wind turbines is the addition of flow-control devices to the rotor blades. Flow control devices can effectively prevent or delay flow separation and suppress turbulence resulting in improved aerodynamic and aeroacoustics performance, load reduction, fluctuation suppression, and ultimately increased wind turbine power output [5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Through learning from its miraculous nature, researchers and engineers have proposed techniques that have revolutionized modern machinery [10,16]. Birds, in particular, have inspired human flight since the early days of flight machine development and continue to inspire the aerospace industry on different levels.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Optimization of Trailing-Edge-Serrations for a Wind Turbine Blade Using Taguchi Modified Additive Model

Qaissi¹,

Elsayed²,

Faqir³

et al. 2023

Energies

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For the rotor, achieving relatively high aerodynamic performance in specific wind conditions is a long-term goal. Inspired by the remarkable flight characteristics of owls, an optimal trailing edge serration design is investigated and proposed for a wind turbine rotor blade. Fluid flow interaction with the proposed serrations is explored for different wind conditions. The result is supported by subsequent validation with three-dimensional numerical tools. The present work employs a statistical-numerical method to predict and optimize the shape of the serrations for maximum aerodynamic improvement. The optimal combination is found using the Taguchi method with three factors: Amplitude, wavelength, and serration thickness. The viability of the solution on an application is assessed using the Weibull distribution of wind in three selected regions. Results show that the presence of serration is capable of improving the annual power generation in all the investigated cities by up to 12%. The rated speed is also shifted from 10 m/s to 8 m/s for most configurations. Additionally, all configurations show similar trends for the instantaneous torque, where an increase is observed in pre-rated speed, whereas a decrease is noticed in the post-rated speed region. A look at the flow field pattern for the optimal design in comparison with the clean blade shows that the modified blade is able to generate more lift in the pre-stall region, while for the post-stall region, early separation and increased wake dominate the flow.

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“…Different methods have been proposed for the reduction of skin friction drag such as bubble-induced skin friction drag reduction [3], drag reduction using textured hydrophobic surfaces [4] and active wall motion induced drag reduction [5]. Additionally, innovative means to reduce drag have also been developed using biomimicry [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Machine-Learning Based Optimisation of a Biomimiced Herringbone Microstructure for Superior Aerodynamic Performance

Patel

Akolekar

2022

Preprint

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Biomimicry involves taking inspiration from existing designs in nature to generate new and efficient systems. The feathers of birds which form a characteristic herringbone riblet shape are known to effectively reduce drag. This paper aims to optimise the individual constituent structure of a herringbone riblet pattern using a combination of computational fluid dynamics (CFD) and supervised machine learning algorithms to achieve the best possible reduction in drag. Initially, a herringbone riblet design is made by computer aided designing and is parameterised. By randomly varying these parameters, 107 additional designs are made and are subjected to CFD calculations to derive their drag coefficients (Cd). These designs are used to train a supervised learning model which is employed as an alternative to CFD for predicting the Cd of other 10000 randomly generated herringbone riblet designs. Amongst these, the design with the least predicted Cd is considered as the optimised design. The Cd prediction for the optimised design had an error of 4% with respect to its true Cd which was calculated by using CFD. The optimised design of this microstructure can be utilised for drag reduction of aeronautical, automotive or oceanic crafts by integrating them onto their surfaces.

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Biomimetic flow control techniques for aerospace applications: a comprehensive review

Cited by 32 publications

References 149 publications

Aerodynamic performance characterization of bio-inspired wings with leading edge tubercles at low Reynolds number

Aerodynamic performance characterization of bio-inspired wings with leading edge tubercles at low Reynolds number

Aerodynamic Optimization of Trailing-Edge-Serrations for a Wind Turbine Blade Using Taguchi Modified Additive Model

Machine-Learning Based Optimisation of a Biomimiced Herringbone Microstructure for Superior Aerodynamic Performance

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