Modeling and analysis of insect-like flexible wings at low Reynolds number

Nguyen, T. T.; Sundar, D. Shyam; Yeo, K. S.; Lim, Teng Joon

doi:10.1016/j.jfluidstructs.2016.01.012

Cited by 36 publications

(25 citation statements)

References 32 publications

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“…The mean lift obtained in the present CFD simulation was 13.5% higher than the experimental results, while a 9.7% surplus was obtained on the mean drag. This relative error between experimental and numerical results agreed with the previous numerical studies [9,11,17], and it may caused by the oscillation/flutter of the robotic wing due to its imperfect rigidity and slips within the actuator mechanisms. This agreement indicates Figure 5.…”

Section: Benchmarking Casessupporting

confidence: 89%

“…The system may become under-determined when the small singular values were omitted, but the SVD method ensures a solution with minimum L 2 error can be obtained. The SVD scheme with regularization has been found to be robust and accurate in the practice of 3D simulations for natural flyers and swimmers [11,17,18]. …”

Section: Svd-gfd Schemementioning

confidence: 99%

“…for central node, Moreover, it was pointed out that all the supporting nodes should be visible to the central node to ensure that the derivatives can be correctly discretized [11]. As defined in geometry, a supporting node is visible to the central node if the line segment that connects them does not intersect any boundary surface.…”

Section: Nodal Selectionmentioning

confidence: 99%

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An Application of GPU Acceleration in CFD Simulation for Insect Flight

Yao

Yeo

2017

JSFI

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The mobility and maneuverability of winged insects have been attracting attention, but the knowledge on the behavior of free-flying insects is still far from complete. This paper presents a computational study on the aerodynamics and kinematics of a free-flying model fruit-fly. An existing integrative computational fluid dynamics (CFD) framework was further developed using CUDA technology and adapted for the free flight simulation on heterogeneous clusters. The application of general-purpose computing on graphics processing units (GPGPU) significantly accelerated the insect flight simulation and made it less computational expensive to find out the steady state of the flight using CFD approach. A variety of free flight scenarios has been simulated using the present numerical approach, including hovering, fast rectilinear flight, and complex maneuvers. The vortical flow surrounding the model fly in steady flight was visualized and analyzed. The present results showed good consistency with previous studies.

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Section: Benchmarking Casessupporting

confidence: 89%

Section: Svd-gfd Schemementioning

confidence: 99%

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An Application of GPU Acceleration in CFD Simulation for Insect Flight

Yao

Yeo

2017

JSFI

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“…Research on heterogeneous wings has appeared more recently [85,64,63,82,17,48,47,66]. The majority of these studies focus on insect flight and, more specifically, simulating the coupled aeroelastic dynamics of compositionally complex wings [64,63,82,66].…”

Section: Introductionmentioning

confidence: 99%

“…The majority of these studies focus on insect flight and, more specifically, simulating the coupled aeroelastic dynamics of compositionally complex wings [64,63,82,66]. Since they employ direct numerical simulation (DNS) of the coupled Navier-Stokes/elastic-body partial differential equations (PDEs), the computational cost of a single simulation can be quite high.…”

Section: Introductionmentioning

confidence: 99%

A fast Chebyshev method for simulating flexible-wing propulsion

Moore¹

2017

Journal of Computational Physics

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We develop a highly efficient numerical method to simulate small-amplitude flapping propulsion by a flexible wing in a nearly inviscid fluid. We allow the wing's elastic modulus and mass density to vary arbitrarily, with an eye towards optimizing these distributions for propulsive performance. The method to determine the wing kinematics is based on Chebyshev collocation of the 1D beam equation as coupled to the surrounding 2D fluid flow. Through small-amplitude analysis of the Euler equations (with trailing-edge vortex shedding), the complete hydrodynamics can be represented by a nonlocal operator that acts on the 1D wing kinematics. A class of semi-analytical solutions permits fast evaluation of this operator with O (N log N ) operations, where N is the number of collocation points on the wing. This is in contrast to the minimum O N 2 cost of a direct 2D fluid solver. The coupled wing-fluid problem is thus recast as a PDE with nonlocal operator, which we solve using a preconditioned iterative method. These techniques yield a solver of nearoptimal complexity, O (N log N ), allowing one to rapidly search the infinite-dimensional parameter space of all possible material distributions and even perform optimization over this space.

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