Mathematical modeling and simulation of biologically inspired hair receptor arrays in laminar unsteady flow separation

Dickinson, B T; Singler, John R.; Batten, Belinda A.

doi:10.1016/j.jfluidstructs.2011.12.010

Cited by 31 publications

(23 citation statements)

References 34 publications

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“…The mapping function between the sensor deformation and the pressure field at the leading edge is, therefore, obtained through calibration that depends on the structure of the hair-like sensor and the flow conditions. These assumptions are supported by the investigations in references (Dickinson 2010, Dickinson et al 2012, Phillips et al 2015.…”

Section: High-fidelity Electromechanical Modelsupporting

confidence: 60%

“…In our investigation, a single hair sensor at the leading edge is considered, but the methodology could easily be extended to patches of them, as shown by Dickinson (2010), Dickinson et al (2012) and Phillips et al (2015). In fact, the same model could be used when considering the average signal from a patch of hairsensors.…”

Section: Wing Modelmentioning

confidence: 99%

“…For the distributed sensing, we propose flow measurements via hair-like sensors. The concept has been investigated by Dickinson (2010), Dickinson et al (2012) and Phillips et al (2015), who considered both isolated and patch-arranged sensors reproducing the topology of natural fliers.…”

Section: Introductionmentioning

confidence: 99%

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Bat-inspired integrally actuated membrane wings with leading-edge sensing

2017

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This paper presents a numerical investigation on the closed-loop performance of a two-dimensional actuated membrane wing with fixed supports. The proposed concept mimics aerodynamic sensing and actuation mechanisms found in bat wings to achieve robust outdoor flight: firstly, variable membrane tension, which is obtained in bats through skeleton articulation, is introduced through a dielectric-elastomer construction; secondly, leading-edge airflow sensing is achieved with bioinspired hair-like sensors. Numerical results from a coupled aero-electromechanical model show that this configuration can allow for the tracking of prescribed lift coefficient signals in the presence of disturbances from atmospheric gusts. In particular, disturbance measurements through the hair sensor (a feedforward control strategy) are seen to provide substantial advantage with respect to a reactive (feedback) control strategy determining a reduction of the oscillations of the lift coefficient.

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Section: High-fidelity Electromechanical Modelsupporting

confidence: 60%

Section: Wing Modelmentioning

confidence: 99%

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Bat-inspired integrally actuated membrane wings with leading-edge sensing

2017

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“…Artificial hair sensors (AHSs) have been extensively studied (Dickinson 2010, Dickinson et al 2012a, 2012b, Droogendijk et al 2015, Rizzi et al 2013, Maschmann et al 2014, Desvaraj et al 2015, DeVries et al 2014, Qualtieri et al 2012 are all recent examples but by no means an exhaustive list) for both air and underwater applications. In particular, the work of Dagamseh et al (2012) is interesting for using AHSs for aerodynamic state estimation.…”

Section: Introductionmentioning

confidence: 99%

Detection of flow separation and stagnation points using artificial hair sensors

Phillips

Ray²,

Hagen

et al. 2015

Smart Mater. Struct.

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Recent interest in fly-by-feel approaches for aircraft control has motivated the development of novel sensors for use in aerial systems. Artificial hair sensors are one type of device that promise to fill a unique niche in the sensory suite for aerial systems. In this work, we investigate the capability of an artificial hair sensor based on structural glass fibers to directly identify flow stagnation and separation points on a cylindrical domain in a steady flow. The glass fibers are functionalized with a radially aligned carbon nanotube forest and elicit a piezoresistive response as the carbon nanotube forest impinges on electrodes in a micropore when the hair is deflected due to viscous drag forces. Particle image velocimetry is used to measure the flow field allowing for the resulting moment and force acting on the hair to be correlated with the electrical response. It is demonstrated that the artificial hair sensor provides estimates for the locations of both the stagnation and separation in steady flow. From this, a simulation of a heading estimation is presented to demonstrate a potential application for hair sensors. These results motivate the construction of large arrays of hair sensors for imaging and resolving flow structures in real time. Keywords:hair sensor, carbon nanotube array, piezoresistive transduction, stagnation point, separation point, heading estimation list) for both air and underwater applications. In particular, the work of Dagamseh et al (2012) is interesting for using AHSs for aerodynamic state estimation. In this work, we offer a preliminary investigation of using AHSs based on structural glass fibers coated with a radially aligned forest of carbon nanotubes (CNTs) to identify the location of stagnation and separation on a quasi-2D domain through piezoresistive transduction. Specifically, we generate a steady flow past a cylinder and measure both the sensor electrical response with a source meter and the flow field stimulating the hair using particle image velocimetry (PIV). The results are correlated to investigate the potential of using AHSs for flow feature identification.Engineered flight systems currently utilize sensors for situational awareness and state/parameter estimation, but the number of sensors is limited and the sensors are comparatively expensive. Emphasis is currently placed on point-wise sensor accuracy rather than redundancy. Hot film/wire anemometers are examples of accurate, point-wise technologies that are already used extensively in industry for aerodynamic control and estimation. In contrast to engineered systems, biology generally employs redundancy in both control and estimation systems (Bekey 2005). For many of the same reasons biology depends upon redundancy, there are several reasons to consider redundant, distributed sensory systems for flight control. First and foremost, redundancy provides robustness to sensor failure, which is a systemic problem in systems with very few, high-grade sensors. Redundancy also provides more information regarding ...

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“…The sensors serve for the wall shear stress measurements in the boundary layer for laminar and turbulent flow. For these measurements, some techniques based on optical imaging and image processing need the values of the displacements of the hair-like sensor tip [1,2] sensor's output as the bending moment at the base and employ a linear [3] or nonlinear [4] viscoelastic Kelvin-Voigt model of an EB beam coupled to an unsteady non-uniform flow environment. Both models, the former linear one and the latter nonlinear model, have a good accuracy for small deflections only.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear bending models for beams and plates

Antipov

2014

Proc. R. Soc. A.

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A new nonlinear model for large deflections of a beam is proposed. It comprises the Euler-Bernoulli boundary value problem for the deflection and a nonlinear integral condition. When bending does not alter the beam length, this condition guarantees that the deflected beam has the original length and fixes the horizontal displacement of the free end. The numerical results are in good agreement with the ones provided by the elastica model. Dynamic and two-dimensional generalizations of this nonlinear one-dimensional static model are also discussed. The model problem for an inextensible rectangular Kirchhoff plate, when one side is clamped, the opposite one is subjected to a shear force, and the others are free of moments and forces, is reduced to a singular integral equation with two fixed singularities. The singularities of the unknown function are examined, and a series-form solution is derived by the collocation method in terms of the associated Jacobi polynomials. The procedure requires solving an infinite system of linear algebraic equations for the expansion coefficients subject to the inextensibility condition.

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Mathematical modeling and simulation of biologically inspired hair receptor arrays in laminar unsteady flow separation

Cited by 31 publications

References 34 publications

Bat-inspired integrally actuated membrane wings with leading-edge sensing

Bat-inspired integrally actuated membrane wings with leading-edge sensing

Detection of flow separation and stagnation points using artificial hair sensors

Nonlinear bending models for beams and plates

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