Computational investigation of cicada aerodynamics in forward flight

Wan, Hui; Dong, Haibo; Gai, Kuo

doi:10.1098/rsif.2014.1116

Cited by 77 publications

(88 citation statements)

References 49 publications

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“…about this method can be found in [29,30]. Validations about this solver can be found in our previous works [32,34]. According to the biological data, the Reynolds number of manta swimming ranges from 6.85 × 10 5 to 7.71 × 10 6 (see Section 3.1 below), which indicates that the flow is fully dominated by the inertia effect.…”

Section: Viscous Modelmentioning

confidence: 99%

“…More details about this method can be found in [29,30]. Validations about this solver can be found in our previous works [32,34].…”

Section: Viscous Modelmentioning

confidence: 99%

Section: Viscous Modelmentioning

confidence: 99%

“…A second-order central difference scheme was employed in space discretization. This method was successfully applied in many simulations of flapping propulsion [31][32][33]. More details The reconstructed models were then imported as immersed moving boundaries in our in-house immersed-boundary-method-based computational fluid dynamics (CFD) solver.…”

Section: Viscous Modelmentioning

confidence: 99%

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Hydrodynamic Performance of Aquatic Flapping: Efficiency of Underwater Flight in the Manta

et al. 2016

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Abstract:The manta is the largest marine organism to swim by dorsoventral oscillation (flapping) of the pectoral fins. The manta has been considered to swim with a high efficiency stroke, but this assertion has not been previously examined. The oscillatory swimming strokes of the manta were examined by detailing the kinematics of the pectoral fin movements swimming over a range of speeds and by analyzing simulations based on computational fluid dynamic potential flow and viscous models. These analyses showed that the fin movements are asymmetrical up-and downstrokes with both spanwise and chordwise waves interposed into the flapping motions. These motions produce complex three-dimensional flow patterns. The net thrust for propulsion was produced from the distal half of the fins. The vortex flow pattern and high propulsive efficiency of 89% were associated with Strouhal numbers within the optimal range (0.2-0.4) for rays swimming at routine and high speeds. Analysis of the swimming pattern of the manta provided a baseline for creation of a bio-inspired underwater vehicle, MantaBot.

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Section: Viscous Modelmentioning

confidence: 99%

“…More details about this method can be found in [29,30]. Validations about this solver can be found in our previous works [32,34].…”

Section: Viscous Modelmentioning

confidence: 99%

Section: Viscous Modelmentioning

confidence: 99%

Section: Viscous Modelmentioning

confidence: 99%

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Hydrodynamic Performance of Aquatic Flapping: Efficiency of Underwater Flight in the Manta

et al. 2016

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“…In addition, in maneuvering flights, the wake generated by the hindwings can affect the aerodynamic performance of the forewings [Dong and Liang, 2010]. Another unsteady mechanism reported in insect flight is the wing-body interaction which is adopted by wide body insects such as cicada [Wan et al, 2015].…”

Section: Unsteady Aerodynamics Of Flapping Flightmentioning

confidence: 99%

Wing in the Loop: Integrating the Wing into Dynamics of Insect Flight

Zeyghami

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Insects were the first animals to evolve active flight and remain unsurpassed in many features of flight dynamics and performance. The capacity to move in 3D space provided them with superior abilities in predator-prey interactions and in exploring novel habitats. Among insects, we find animals capable of precise hovering, taking off backwards, flying sideways and landing upside down. In this work, we focused on low flapping frequency insect flight, where the time scales of the wing and body motions are close. The pursuit of our goal is carried out via two different branches.First, we gathered accurate data on the free flight of several species of insects during different aerial maneuvers. Quantitative analysis of the flight behavior was then conducted and comparisons were made with maneuvering flight of high flapping frequency insects. In the second branch of this work, we developed a physics-based model of the insect wing and the mechanical properties of its hinge, and combined it with a model of the unsteady aerodynamics of flapping flight to study actuation of the iv wing pitch. Generation of the aerodynamic force is sensitive to the wing pitch and its dynamics and therefore this motion plays a unique role in executing aerial maneuvers. Quantitative investigations of the wing dynamics were then carried out by varying the wing geometry, kinematics and structural properties. The ratio of the aerodynamic to elastic force, termed as Cauchy number, was identified as the most important parameter in governing wing motion. The analysis of the wing dynamics also revealed a mechanism by which the motions of the wing and body are coupled together. During aerial maneuvers, the body motion alters the balance of forces on the wing, causing the wing kinematics to passively change in response. Furthermore, the changes in the wing kinematics results in altering the force and consequently the body motion. This chain of actions and reactions is the source of coupling in the dynamics of the wing and the body. This phenomenon, which was predicted by our theoretical model and verified by our experimental measurements, cannot be explained by the currently accepted model of the insect flight dynamics. The modifications that were made to the current model based on our analysis and findings resulted in an improved model of the insect flight dynamics that can successfully predict the connection between the wing and body motions during aerial maneuvers.

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Extracting signature responses from respiratory flows: Low‐dimensional analyses on Direct Numerical Simulation‐predicted wakes of a flapping uvula

Wang

April

et al. 2020

Numer Methods Biomed Eng

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Uvula-induced snoring and associated obstructive sleep apnea is a complex phenomenon characterized by vibrating structures and highly transient vortex dynamics. This study aimed to extract signature features of uvula wake flows of different pathological origins and develop a linear reduced-order surrogate model for flow control. Six airway models were developed with two uvula kinematics and three pharynx constriction levels. A direct numerical simulation (DNS) flow solver based on the immersed boundary method was utilized to resolve the wake flows induced by the flapping uvula. Key spatial and temporal responses of the flow to uvula kinematics and pharynx constriction were investigated using continuous wavelet transform (CWT), proper orthogonal decomposition (POD), and dynamic mode decomposition (DMD). Results showed highly complex patterns in flow topologies. CWT analysis revealed multiscale correlations in both time and space between the flapping uvular and wake flows. POD analysis successfully separated the flows among the six models by projecting the datasets in the vector space spanned by the first three eigenmodes. Perceivable differences were also captured in the time evolution of the DMD modes among the six models. A linear reduced-order surrogate model was constructed from the predominant eigenmodes obtained from the DMD analysis and predicted vortex patterns from this surrogate model agreed well with the corresponding DNS simulations. The computational and analytical platform presented in this study could bring a variety of applications in breathing-related disorders and beyond. The computational efficiency of surrogate modeling makes it well suited for flow control, forecasting, and uncertainty analyses.

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Computational investigation of cicada aerodynamics in forward flight

Cited by 77 publications

References 49 publications

Hydrodynamic Performance of Aquatic Flapping: Efficiency of Underwater Flight in the Manta

Hydrodynamic Performance of Aquatic Flapping: Efficiency of Underwater Flight in the Manta

Wing in the Loop: Integrating the Wing into Dynamics of Insect Flight

Extracting signature responses from respiratory flows: Low‐dimensional analyses on Direct Numerical Simulation‐predicted wakes of a flapping uvula

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