Bio-inspired Flow

A special issue of Fluids (ISSN 2311-5521).

Deadline for manuscript submissions: closed (1 April 2018) | Viewed by 51889

Special Issue Editor


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Guest Editor
Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22904, USA
Interests: swimming/flying; biological fluid dynamcis; fluid-structure interaction; flow control

Special Issue Information

Dear Colleagues,

I am pleased to officially invite you to submit your work to the open access journal Fluids (ISSN 2311-5521) which is preparing a Special Issue on “Bio-inspired Flow”. We are seeking high-quality, original research, exploring fundamental flow physics or developing novel computational and experimental methods for bio-inspired locomotion in nature. Potential topics include, but are not limited to:

  • Fluid dynamics of flying and swimming, wake structures, vortex dynamics, aero-/hydrodynamics
  • Importance of flexibility and surface deformations in flying and swimming, fluid–structure interactions, fluid–body interactions, mechanics, and energetics of bioinspired locomotion
  • Novel computation and experimentation technologies for studying bio-inspired flows
  • Bio-inspired flow control

In order to ensure that your work is visible and available to a broad spectrum of readers as quickly as possible, the peer review process will be accelerated and all accepted articles will be immediately published online with an assigned DOI number. If you are interested in submitting to this Special Issue, please email me the tentative title of your article.  

Please do not hesitate to contact me with any questions regarding this Special Issue. I look forward to hearing from you, and I hope we can welcome you as a contributing author.

Prof. Haibo Dong
Guest Editor

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Keywords

  • bio-inspired flow
  • insect flight
  • fish swimming
  • fluid dynamics
  • biological fluid dynamics

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Published Papers (9 papers)

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Research

16 pages, 3297 KiB  
Article
A Numerical Study of the Sound and Force Production of Flexible Insect Wings
by Biao Geng, Xudong Zheng, Qian Xue, Geng Liu and Haibo Dong
Fluids 2018, 3(4), 87; https://doi.org/10.3390/fluids3040087 - 31 Oct 2018
Cited by 5 | Viewed by 3916
Abstract
We numerically solved the acoustic and flow field around cicada wing models with parametrically varied flexibility using the hydrodynamic/acoustic splitting method. We observed a gradual change of sound directivity with flexibility. We found that flexible wings generally produce lower sound due to reduced [...] Read more.
We numerically solved the acoustic and flow field around cicada wing models with parametrically varied flexibility using the hydrodynamic/acoustic splitting method. We observed a gradual change of sound directivity with flexibility. We found that flexible wings generally produce lower sound due to reduced aerodynamic forces, which were further found to scale with the dynamic pressure force defined as the integration of dynamic pressure over the wing area. Unlike conventional scaling where the incoming flow velocity is used as the reference to calculate the force coefficients, here only the normal component of the relative velocity of the wing to the flow was used to calculate the dynamic pressure, putting kinematic factors into the dynamic pressure force and leaving the more fundamental physics to the force coefficients. A high correlation was found between the aerodynamic forces and the dynamic pressure. The scaling is also supported by previously reported data of revolving wing experiments. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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20 pages, 5889 KiB  
Article
Quasi-Steady versus Navier–Stokes Solutions of Flapping Wing Aerodynamics
by Jeremy A. Pohly, James L. Salmon, James E. Bluman, Kabilan Nedunchezian and Chang-kwon Kang
Fluids 2018, 3(4), 81; https://doi.org/10.3390/fluids3040081 - 24 Oct 2018
Cited by 21 | Viewed by 5353
Abstract
Various tools have been developed to model the aerodynamics of flapping wings. In particular, quasi-steady models, which are considerably faster and easier to solve than the Navier–Stokes equations, are often utilized in the study of flight dynamics of flapping wing flyers. However, the [...] Read more.
Various tools have been developed to model the aerodynamics of flapping wings. In particular, quasi-steady models, which are considerably faster and easier to solve than the Navier–Stokes equations, are often utilized in the study of flight dynamics of flapping wing flyers. However, the accuracy of the quasi-steady models has not been properly documented. The objective of this study is to assess the accuracy of a quasi-steady model by comparing the resulting aerodynamic forces against three-dimensional (3D) Navier–Stokes solutions. The same wing motion is prescribed at a fruit fly scale. The pitching amplitude, axis, and duration are varied. Comparison of the aerodynamic force coefficients suggests that the quasi-steady model shows significant discrepancies under extreme pitching motions, i.e., the pitching motion is large, quick, and occurs about the leading or trailing edge. The differences are as large as 1.7 in the cycle-averaged lift coefficient. The quasi-steady model performs well when the kinematics are mild, i.e., the pitching motion is small, long, and occurs near the mid-chord with a small difference in the lift coefficient of 0.01. Our analysis suggests that the main source for the error is the inaccuracy of the rotational lift term and the inability to model the wing-wake interaction in the quasi-steady model. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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18 pages, 11217 KiB  
Article
Genetic Algorithm Based Optimization of Wing Rotation in Hover
by Alexander Gehrke, Guillaume De Guyon-Crozier and Karen Mulleners
Fluids 2018, 3(3), 59; https://doi.org/10.3390/fluids3030059 - 15 Aug 2018
Cited by 8 | Viewed by 5198
Abstract
The pitching kinematics of an experimental hovering flapping wing setup are optimized by means of a genetic algorithm. The pitching kinematics of the setup are parameterized with seven degrees of freedom to allow for complex non-linear and non-harmonic pitching motions. Two optimization objectives [...] Read more.
The pitching kinematics of an experimental hovering flapping wing setup are optimized by means of a genetic algorithm. The pitching kinematics of the setup are parameterized with seven degrees of freedom to allow for complex non-linear and non-harmonic pitching motions. Two optimization objectives are considered. The first objective is maximum stroke average efficiency, and the second objective is maximum stroke average lift. The solutions for both optimization scenarios converge within less than 30 generations based on the evaluation of their fitness. The pitching kinematics of the best individual of the initial and final population closely resemble each other for both optimization scenarios, but the optimal kinematics differ substantially between the two scenarios. The most efficient pitching motion is smoother and closer to a sinusoidal pitching motion, whereas the highest lift-generating pitching motion has sharper edges and is closer to a trapezoidal motion. In both solutions, the rotation or pitching motion is advanced with respect to the sinusoidal stroke motion. Velocity field measurements at selected phases during the flapping motions highlight why the obtained solutions are optimal for the two different optimization objectives. The most efficient pitching motion is characterized by a nearly constant and relatively low effective angle of attack at the start of the half stroke, which supports the formation of a leading edge vortex close to the airfoil surface, which remains bound for most of the half stroke. The highest lift-generating pitching motion has a larger effective angle of attack, which leads to the generation of a stronger leading edge vortex and higher lift coefficient than in the efficiency optimized scenario. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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22 pages, 7984 KiB  
Article
Flow Structure and Force Generation on Flapping Wings at Low Reynolds Numbers Relevant to the Flight of Tiny Insects
by Arvind Santhanakrishnan, Shannon K. Jones, William B. Dickson, Martin Peek, Vishwa T. Kasoju, Michael H. Dickinson and Laura A. Miller
Fluids 2018, 3(3), 45; https://doi.org/10.3390/fluids3030045 - 22 Jun 2018
Cited by 26 | Viewed by 8102
Abstract
In contrast to larger species, little is known about the flight of the smallest flying insects, such as thrips and fairyflies. These tiny animals range from 300 to 1000 microns in length and fly at Reynolds numbers ranging from about 4 to 60. [...] Read more.
In contrast to larger species, little is known about the flight of the smallest flying insects, such as thrips and fairyflies. These tiny animals range from 300 to 1000 microns in length and fly at Reynolds numbers ranging from about 4 to 60. Previous work with numerical and physical models have shown that the aerodynamics of these diminutive insects is significantly different from that of larger animals, but most of these studies have relied on two-dimensional approximations. There can, however, be significant differences between two- and three-dimensional flows, as has been found for larger insects. To better understand the flight of the smallest insects, we have performed a systematic study of the forces and flow structures around a three-dimensional revolving elliptical wing. We used both a dynamically scaled physical model and a three-dimensional computational model at Reynolds numbers ranging from 1 to 130 and angles of attacks ranging from 0° to 90°. The results of the physical and computational models were in good agreement and showed that dimensionless drag, aerodynamic efficiency, and spanwise flow all decrease with decreasing Reynolds number. In addition, both the leading and trailing edge vortices remain attached to the wing over the scales relevant to the smallest flying insects. Overall, these observations suggest that there are drastic differences in the aerodynamics of flight at the scale of the smallest flying animals. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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39 pages, 9401 KiB  
Article
Leaky Flow through Simplified Physical Models of Bristled Wings of Tiny Insects during Clap and Fling
by Vishwa T. Kasoju, Christopher L. Terrill, Mitchell P. Ford and Arvind Santhanakrishnan
Fluids 2018, 3(2), 44; https://doi.org/10.3390/fluids3020044 - 19 Jun 2018
Cited by 28 | Viewed by 6177
Abstract
In contrast to larger flight-capable insects such as hawk moths and fruit flies, miniature flying insects such as thrips show the obligatory use of wing–wing interaction via “clap and fling” during the end of upstroke and start of downstroke. Although fling can augment [...] Read more.
In contrast to larger flight-capable insects such as hawk moths and fruit flies, miniature flying insects such as thrips show the obligatory use of wing–wing interaction via “clap and fling” during the end of upstroke and start of downstroke. Although fling can augment lift generated during flapping flight at chord-based Reynolds number (Re) of 10 or lower, large drag forces are necessary to clap and fling the wings. In this context, bristles observed in the wings of most tiny insects have been shown to lower drag force generated in clap and fling. However, the fluid dynamic mechanism underlying drag reduction by bristled wings and the impact of bristles on lift generated via clap and fling remain unclear. We used a dynamically scaled robotic model to examine the forces and flow structures generated during clap and fling of: three bristled wing pairs with varying inter-bristle spacing, and a geometrically equivalent solid wing pair. In contrast to the solid wing pair, reverse flow through the gaps between the bristles was observed throughout clap and fling, resulting in: (a) drag reduction; and (b) weaker and diffuse leading edge vortices that lowered lift. Shear layers were formed around the bristles when interacting bristled wing pairs underwent clap and fling motion. These shear layers lowered leakiness of flow through the bristles and minimized loss of lift in bristled wings. Compared to the solid wing, peak drag coefficients were reduced by 50–90% in bristled wings. In contrast, peak lift coefficients of bristled wings were only reduced by 35–60% from those of the solid wing. Our results suggest that the bristled wings can provide unique aerodynamic benefits via increasing lift to drag ratio during clap and fling for Re between 5 and 15. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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16 pages, 1297 KiB  
Article
Turbulence Enhancement by Fractal Square Grids: Effects of Multiple Fractal Scales
by Alexis Omilion, Jodi Turk and Wei Zhang
Fluids 2018, 3(2), 37; https://doi.org/10.3390/fluids3020037 - 30 May 2018
Cited by 6 | Viewed by 4961
Abstract
Multi-scale fractal grids can be considered to mimic the fractal characteristic of objects of complex appearance in nature, such as branching pulmonary network and corals in biology, river network, trees, and cumulus clouds in geophysics, and the large-scale structure of the universe in [...] Read more.
Multi-scale fractal grids can be considered to mimic the fractal characteristic of objects of complex appearance in nature, such as branching pulmonary network and corals in biology, river network, trees, and cumulus clouds in geophysics, and the large-scale structure of the universe in astronomy. Understanding the role that multiple length scales have in momentum and energy transport is essential for effective utilization of fractal grids in a wide variety of engineering applications. Fractal square grids, consisted of the basic square pattern, have been used for enhancing fluid mixing as a passive flow control strategy. While previous studies have solidified the dominant effect of the largest scale, effects of the smaller scales and the interaction of the range of scales on the generated turbulent flow remain unclear. This research is to determine the relationship between the fractal scales (varying with the fractal iteration N), the turbulence statistics of the flow and the pressure drop across the fractal square grids using well-controlled water-tunnel experiments. Instantaneous and ensemble-averaged velocity fields are obtained by a planar Particle Image Velocimetry (PIV) method for a set of fractal square grids (N = 1, 2 and 4) at Reynolds number of 3400. The static pressure drop across the fractal square grid is measured by a differential pressure transducer. Flow fields indicate that the multiple jets, wakes and the shear layers produced by the multiple scales of bars are the fundamental flow physics that promote momentum transport in the fractal grid generated turbulence. The wake interaction length scale model is modified to incorporate the effects of smaller scales and thereof interaction, by the effective mesh size M e f f and an empirical coefficient β . Effectiveness of a fractal square grid is assessed using the gained turbulence intensity and Reynolds shear stress level at the cost of pressure loss, which varies with the distance downstream. In light of the promising capability of the fractal grids to enhance momentum and energy transport, this work can potentially benefit a wide variety of applications where energy efficient mixing or convective heat transfer is a key process. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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12 pages, 15713 KiB  
Article
Experimental Measurement of Dolphin Thrust Generated during a Tail Stand Using DPIV
by Frank E. Fish, Terrie M. Williams, Erica Sherman, Yae Eun Moon, Vicki Wu and Timothy Wei
Fluids 2018, 3(2), 33; https://doi.org/10.3390/fluids3020033 - 17 May 2018
Cited by 13 | Viewed by 5974
Abstract
Estimation of force generated by dolphins has long been debated. The problem was that indirect estimates of force production for dolphins resulted in low values that could not be validated. Bubble digital particle image velocimetry (DPIV) measured hydrodynamic force production for swimming dolphins [...] Read more.
Estimation of force generated by dolphins has long been debated. The problem was that indirect estimates of force production for dolphins resulted in low values that could not be validated. Bubble digital particle image velocimetry (DPIV) measured hydrodynamic force production for swimming dolphins and demonstrated high force production. To validate the bubble DPIV and reconcile force production measurements, two bottlenose dolphins (Tursiops truncatus) performing tail stands were measured with bubble DPIV. Microbubbles were generated from a finely porous hose and compressed air source. Displacement of the bubbles by the propulsive motions of the dolphin was tracked with a high-speed video camera. Oscillations of the dolphin flukes generated strong vortices and a downward directed jet flow into the wake. Application of the Kutta–Joukowski theorem measuring vortex circulations yielded forces up to 997.3 N. Another video camera recorded body height above the water surface to determine the mass-force of the dolphin above the water surface. For the dolphin to hold its position above the water surface, the mass-force approximately balanced the vertical hydrodynamic force from the flukes. The results demonstrated the fluke motions generate high sustained forces roughly equal to the dolphin’s weight out of the water. Bubble DPIV validated high forces measured previously for thrust generated in swimming by animals and demonstrated a more accurate technique compared to standard aerodynamic analysis. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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12 pages, 3030 KiB  
Article
Spontaneous Synchronization of Beating Cilia: An Experimental Proof Using Vision-Based Control
by Mohamed Elshalakani and Christoph H. Brücker
Fluids 2018, 3(2), 30; https://doi.org/10.3390/fluids3020030 - 27 Apr 2018
Cited by 2 | Viewed by 4981
Abstract
This article investigates the formation of spontaneous coordination in a row of flexible 2D flaps (artificial cilia) in a chamber filled with a high viscous liquid (Re = 0.12). Each flap is driven individually to oscillate by a rotary motor with the [...] Read more.
This article investigates the formation of spontaneous coordination in a row of flexible 2D flaps (artificial cilia) in a chamber filled with a high viscous liquid (Re = 0.12). Each flap is driven individually to oscillate by a rotary motor with the root of the flap attached to its spindle axle. A computer-vision control loop tracks the flap tips online and toggles the axle rotation direction when the tips reach a pre-defined maximum excursion. This is a vision-controlled implementation of the so-called “geometric clutch” hypothesis. When running the control loop with the flaps in an inviscid reference situation (air), they remain in their individual phases for a long term. Then, the flaps are studied in the chamber filled with a highly viscous liquid, and the same control loop is started. The flexible flaps now undergo bending due to hydrodynamic coupling and come, after a maximum of 15 beats, into a synchronous metachronal coordination. The study proves in a macroscopic lab experiment that viscous coupling is sufficient to achieve spontaneous synchronization, even for a symmetric cilia shape and beat pattern. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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16 pages, 5915 KiB  
Article
Aerodynamics of a Wing with a Wingtip Flapper
by Longfei Zhao, Sergey Shkarayev and Erlong Su
Fluids 2018, 3(2), 29; https://doi.org/10.3390/fluids3020029 - 23 Apr 2018
Cited by 3 | Viewed by 5371
Abstract
In the present study, an oscillating membrane flapper was pivotally attached to the tip of a conventional rigid wing. Stroke-averaged aerodynamic forces were measured for the range of the flapping frequency, showing significant increases in the lift coefficient and lift-to-drag ratio for the [...] Read more.
In the present study, an oscillating membrane flapper was pivotally attached to the tip of a conventional rigid wing. Stroke-averaged aerodynamic forces were measured for the range of the flapping frequency, showing significant increases in the lift coefficient and lift-to-drag ratio for the wing with a flapper. Major vortex patterns were deduced from observations of smoke-wire visualization and 2D phase-locked particle image velocimetry (PIV). The centerline of the primary vortex wanders in the counterclockwise direction. On the contrary, its core rotates in the same sense of rotation as a wingtip vortex in a conventional wing. The secondary weaker vortex of opposite rotation lasts for a half stroke. The vortex ring sheds from the flapper during the second half of the upstroke and pronation. The outer parts of the vortex system are much stronger than the inner ones. The circulation and size of vortices decrease significantly at the most distant station from the wing. Strong vertical jets were found in smoke-wire visualization and confirmed with velocity and vorticity fields obtained by PIV. These jets are formed between undulating vortices and inside of the vortex ring. The jet airflow moves away from the flapper and downward or upward depending on the flapping direction. Full article
(This article belongs to the Special Issue Bio-inspired Flow)
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