Aeroelastic Analysis Of Membrane Wings

Similar documents
SENSITIVITY ANALYSIS OF THE FACTORS AFFECTING FORCE GENERATION BY WING FLAPPING MOTION

Enclosure enhancement of flight performance

Aeroelasticity. Lecture 7: Practical Aircraft Aeroelasticity. G. Dimitriadis. AERO0032-1, Aeroelasticity and Experimental Aerodynamics, Lecture 7

Unsteady Subsonic Aerodynamic Characteristics of Wing in Fold Motion

VORTEX METHOD APPLICATION FOR AERODYNAMIC LOADS ON ROTOR BLADES

Numerical Simulation of Unsteady Aerodynamic Coefficients for Wing Moving Near Ground

Optimization of Flapping Airfoils for Maximum Thrust and Propulsive Efficiency I. H. Tuncer, M. Kay

1. Fluid Dynamics Around Airfoils

Numerical Study on Performance of Innovative Wind Turbine Blade for Load Reduction

Lift Enhancement by Dynamically Changing Wingspan. in Forward Flapping Flight (09/10/2013)

Implementing a Partitioned Algorithm for Fluid-Structure Interaction of Flexible Flapping Wings within Overture

Aerodynamic Rotor Model for Unsteady Flow and Wake Impact

Given the water behaves as shown above, which direction will the cylinder rotate?

Simulation of Aeroelastic System with Aerodynamic Nonlinearity

Unsteady Aerodynamic Vortex Lattice of Moving Aircraft. Master thesis

AERODYNAMIC ANALYSIS OF THE HELICOPTER ROTOR USING THE TIME-DOMAIN PANEL METHOD

Dynamic Response of an Aircraft to Atmospheric Turbulence Cissy Thomas Civil Engineering Dept, M.G university

Analysis of a Hinge-Connected Flapping Plate with an Implemented Torsional Spring Model

Modeling of Instantaneous Passive Pitch of Flexible Flapping Wings

Effects of Flexibility on the Aerodynamic Performance of Flapping Wings

Object-Oriented Unsteady Vortex Lattice Method for Flapping Flight

Fundamentals of Fluid Dynamics: Ideal Flow Theory & Basic Aerodynamics

UNSTEADY AERODYNAMIC ANALYSIS OF HELICOPTER ROTOR BY USING THE TIME-DOMAIN PANEL METHOD

High Speed Aerodynamics. Copyright 2009 Narayanan Komerath

Detailed Outline, M E 521: Foundations of Fluid Mechanics I

Investigation potential flow about swept back wing using panel method

Efficient Modeling of Dynamic Blockage Effects for Unsteady Wind Tunnel Testing

Copyright 2007 N. Komerath. Other rights may be specified with individual items. All rights reserved.

(This is a sample cover image for this issue. The actual cover is not yet available at this time.)

Limit Cycle Oscillations of a Typical Airfoil in Transonic Flow

The wings and the body shape of Manduca sexta and Agrius convolvuli are compared in

Bernoulli's equation: 1 p h t p t. near the far from plate the plate. p u

Wings and Bodies in Compressible Flows

OPTIMIZATION OF TAPERED WING STRUCTURE WITH AEROELASTIC CONSTRAINT

Thrust and Efficiency of Propulsion by Oscillating Foils

MOST of the coupled ap-lag-torsion aeroelastic stability

INSTITUTE OF AERONAUTICAL ENGINEERING (Autonomous) Dundigal, Hyderabad

Iterative Learning Control for Smart Rotors in Wind turbines First Results

NUMERICAL SIMULATIONS OF THE AERODYNAMIC BEHAVIOR OF LARGE HORIZONTAL-AXIS WIND TURBINES

NUMERICAL SIMULATION OF THE FLOW AROUND A SQUARE CYLINDER USING THE VORTEX METHOD

A COMPUTATIONAL FLUID DYNAMICS STUDY OF CLAP AND FLING IN THE SMALLEST INSECTS. Laura A. Miller* and Charles S. Peskin**

Given a stream function for a cylinder in a uniform flow with circulation: a) Sketch the flow pattern in terms of streamlines.

RESEARCH ARTICLE Aerodynamic effects of corrugation in flapping insect wings in hovering flight

Aerodynamic force analysis in high Reynolds number flows by Lamb vector integration

An Experimental Validation of Numerical Post-Stall Aerodynamic Characteristics of a Wing

The future of non-linear modelling of aeroelastic gust interaction

SPC Aerodynamics Course Assignment Due Date Monday 28 May 2018 at 11:30

Aerodynamics. High-Lift Devices

Aeroelastic Gust Response

Wind Tunnel Experiments of Stall Flutter with Structural Nonlinearity

Dynamic pitching of an elastic rectangular wing in hovering motion

Computational Fluid Dynamics Study Of Fluid Flow And Aerodynamic Forces On An Airfoil S.Kandwal 1, Dr. S. Singh 2

PEMP ACD2505. M.S. Ramaiah School of Advanced Studies, Bengaluru

SIMULATION OF GAS FLOW OVER MICRO-SCALE AIRFOILS USING A HYBRID CONTINUUM-PARTICLE APPROACH

Computational Analysis of Hovering Hummingbird Flight

Improvement of flight regarding safety and comfort

FUNDAMENTALS OF AERODYNAMICS

A Harmonic Balance Approach for Large-Scale Problems in Nonlinear Structural Dynamics

A Biologically Inspired Computational Study of Flow Past Tandem Flapping Foils

Computational Analysis of Hovering Hummingbird Flight

When vortices stick: an aerodynamic transition in tiny insect flight

arxiv: v1 [physics.flu-dyn] 27 Mar 2014

ν δ - 1 -

AE 714 Aeroelastic Effects in Structures Term Project (Revised Version 20/05/2009) Flutter Analysis of a Tapered Wing Using Assumed Modes Method

( ) (where v = pr ) v V

Syllabus for AE3610, Aerodynamics I

Unsteady flow over flexible wings at different low Reynolds numbers

Numerical Study on Performance of Curved Wind Turbine Blade for Loads Reduction

Dynamic Response of Highly Flexible Flying Wings

A simplified model for a small propeller with different airfoils along the blade

Closed-loop control of the position of a single vortex relative to an actuated cylinder

ACD2503 Aircraft Aerodynamics

Virtual Aeroelastic Flight Testing for the F-16 Fighter with Stores

41st AIAA Aerospace Sciences Meeting and Exhibit January 6 9, 2003/Reno, NV

Unsteady Flow and Aerodynamic Effect of a Dynamic Trailing-Edge Flap in Flapping Flight

ANALYSIS OF HORIZONTAL AXIS WIND TURBINES WITH LIFTING LINE THEORY

Introduction to Aerospace Engineering

Flight Vehicle Terminology

Model to Evaluate the Aerodynamic Energy Requirements of Active Materials in Morphing Wings

COMPUTATIONAL STUDY ON THE INFLUENCE OF DYNAMIC STALL ON THE UNSTEADY AERODYNAMICS OF FLAPPING WING ORNITHOPTER

Computational Fluid-Structure Interaction of a Deformable Flapping Wing for Micro Air Vehicle Applications

Numerical Implementation of a Frequency-Domain Panel Method for Flutter Prediction of a 3D Wing

Direct Numerical Simulations of Plunging Airfoils

Fig. 1. Bending-Torsion Foil Flutter

Some effects of large blade deflections on aeroelastic stability

AIRFRAME NOISE MODELING APPROPRIATE FOR MULTIDISCIPLINARY DESIGN AND OPTIMIZATION

A computational fluid dynamics of clap and fling in the smallest insects

Aeroelasticity. Lecture 9: Supersonic Aeroelasticity. G. Dimitriadis. AERO0032-1, Aeroelasticity and Experimental Aerodynamics, Lecture 9

Fundamentals of Aerodynamics

Helicopter Rotor Unsteady Aerodynamics

Mestrado Integrado em Engenharia Mecânica Aerodynamics 1 st Semester 2012/13

CONTROL LAW DESIGN IN A COMPUTATIONAL AEROELASTICITY ENVIRONMENT

Airfoils and Wings. Eugene M. Cliff

FREQUENCY DOMAIN FLUTTER ANALYSIS OF AIRCRAFT WING IN SUBSONIC FLOW

Biologically Inspired Design Of Small Flapping Wing Air Vehicles Using Four-Bar Mechanisms And Quasi-steady Aerodynamics

Limit-Cycle Oscillations in Unsteady Flows Dominated by Intermittent Leading-Edge Vortex Shedding

A HARMONIC BALANCE APPROACH FOR MODELING THREE-DIMENSIONAL NONLINEAR UNSTEADY AERODYNAMICS AND AEROELASTICITY

AN IMPROVED BOUNDARY ELEMENT ANALYSIS OF CAVITATING THREE-DIMENSIONAL HYDROFOILS

Transonic Flutter Prediction of Supersonic Jet Trainer with Various External Store Configurations

Fluid Dynamics: Theory, Computation, and Numerical Simulation Second Edition

Transcription:

Aeroelastic Analysis Of Membrane Wings Soumitra P. Banerjee and Mayuresh J. Patil Virginia Polytechnic Institute and State University, Blacksburg, Virginia 46-3 The physics of flapping is very important in the design of agile MAVs. Such MAVs have to efficiently harness thrust and lift from flapping while maintaining a controllable configuration. The aerodynamics of a pitching and plunging flexible wing is simulated using a 3-D, free wake, vortex lattice method (VLM), and structural characteristics of the wing is simulated as a membrane supported by a rigid frame. The aerodynamics is validated by comparing the results from the VLM model for constant angle of attack flight and periodic plunging flight with analytical results, existing -D VLM and doublet lattice method. The aeroelasticity is studied by varying parameters affecting the flow as well as parameters affecting the structure. The results show that the aerodynamic loads increase for increased deformation, and vice-versa. For a step change in angle of attack, the membrane oscillates about the steady state deformation, influence the loads and eventually converges to steady state airloads and structural deformations. For prescribed oscillations in plunge, the membrane deformations and loads transition into a periodic steady state which lead to thrust. The thrust increases with deformation and thus the flexibility of the structure is beneficial in this case. Aeroelastic tailoring of the structure to optimize the efficiency of flapping is recommended for design of next generation MAVs. I. Introduction Birds and insects use flapping wing mechanics to fly, by simultaneously producing thrust and lift. The flight of birds and insects are different. During a flapping cycle, most birds flap their wings in a vertical plane with small changes in the pitch of their wings. To produce lift birds use forward velocity. Thus, most birds cannot hover. Insects, on the other hand, flap their wings in a nearly horizontal plane, with high pitch angles. This enables them to produce lift in the absence of forward velocity. Micro Air Vehicles (MAV) are being designed keeping flapping wing mechanics in hindsight. MAV have been successfully built and tested at the University of Florida MAV Laboratory (Refs., 3), and the University of Maryland s Alfred Gessow Rotorcraft Center. The goal of the work presented in this paper is to understand the aeroelastic characteristics of rectangular membrane wings that can be used to simulate the flight of MAVs. the work thus aims to lay down the foundation for the development of MAVs. The aerodynamics is based on 3-D, unsteady, incompressible, inviscid assumption and simulated using the unsteady, free-wake, vortex lattice method, and the structures is modeled as a membrane over a rigid frame and solved using a Fourier series expansion. II. Theory The aerodynamic model is designed to encompass low-speed, low-angle of attack, but large motions. The model is developed for inviscid, incompressible, and unsteady flow. The low-angle of attack ensures that the flow separates at the trailing edge. To develop an analysis model, the vortex lattice method with vortex rings is implemented. An ideal model would take viscous effects into consideration, and would be based on the Navier-Stokes equations. Other ways of modeling the flow would be based on either vortex particle method, free vortex blob method, and computational fluid dynamics. Graduate Research Assistant, Department of Aerospace and Ocean Engineering. Student Member AIAA. Assistant Professor, Department of Aerospace and Ocean Engineering. Senior Member AIAA. of

CFD programs can simulate the case being studied with higher fidelity, as compared to vortex lattice methods or, vortex particle methods. However, the purpose of this study is to do a preliminary aerodynamic analysis. Since the flow parameters considered are inviscid, with small angle of attack and low speed, the vortex lattice method is a reliable method for preliminary analysis. Vortex lattice methods can be implemented with a fixed wake or a free wake approximation. Since large motions are possible, the free-wake model s wake shape works as a check point to validate whether the physics of the flight is being captured by the model. The VLM is inexpensive medium order, medium fidelity model. The study and application of CFD methods, and sophisticated simulation softwares require experience, and are expensive. The wing is modeled as a membrane structure. A membrane is defined as a tensile structure, that can carry tension but cannot carry compression or have bending. The pre-stress introduced into the membrane by stretching its boundaries give it a definite form and thereby enables its usage as a structure. A. Aerodynamic Modeling The vortex lattice method used in this work is based on Refs. 4 and 5. The vortex lattice consists of vortex lines that run along the span wise and chord wise direction of the wing. Biot-Savart law serves as the basis for the calculation of velocity. In conjunction with the boundary conditions, it can be effectively used for the prediction of aerodynamic loads and the wake parameters. The vortex sheet consists of vortex lines running along the span wise and chord wise directions on the surface of the wing. The chord wise and span wise running vortex lines cross each other forming quadrilateral vortex elements. The sum of the circulation at any node on the vortex lattice is zero and thus the vortex lattice can be easily represented in terms of vortex rings, as shown in Figure. The leading segment of the first row s vortex ring is placed on leading edge of the wing. Thus, the trailing edge of the last row s vortex ring lies on the trailing edge of the wing. The collocation or the control point is in the center of each element. Figure. Rectangular Wing with Vortex Rings Each vortex ring is defined to have a loop circulation which is defined by G i for panel i, shown in Figure. It is defined positive in the counter-clockwise direction. Figure. One Row of Shed Vortex Rings At each time step a row of vortex rings is shed at the trailing edge to conserve the circulation as shown in Figure. of

. No Penetration Condition Using the vortex ring method, the boundary conditions are satisfied on the wing surface, which can have camber and different planform shapes. 6 The no penetration condition implies that the fluid cannot pass through the wing. Another way of looking at the no penetration condition, is saying that the normal component of the structural velocity of the wing is equal to the normal component of the air velocity induced by vortex panels on the surface of the wing and in the wake. The velocities acting on the wing at the control points originate from the freestream, structural dynamics, and the induced wake velocity. This is mathematically written as, ( Vs + V ) n = ( Vwake + V surf ) n () In the equation above, V s is the velocity of the wing structure, and can be written as, V s = V rigid + V membrane () where, V membrane is the velocity due to structural deformations. Vrigid is the velocity with which the wing oscillates in plunge (h = h cos ω t) and pitch (α = α cos ω t + φ), and can be written as, V rigid = ḣ + α R a (3) where, Ra is the distance from the pitching axis to the control point. V surf is the velocity induced on the control points by the vortex rings on the surface of the wing. n is the unit normal vector of the element on which the condition is applied. Vwake is the velocity induced by vortices in the wake on the control points on the wing. Vwake and V surf are both calculated using the Biot-Savart s law for the vortex ring. The velocity from the structures is described in the next section. The loop circulation on the surface at any given time is computed based on the structural and the wake velocities. Thus, the problem involves solving for a number of unknowns which is equal to the number of surface elements. A ij G j = V surf (4) ( V surf = V + V s V ) wake n (5) where A is the coefficient matrix consisting the coefficients from the Biot-Savart law.. Kutta Condition and Vortex Convection The Kutta condition is imposed by shedding the vortices from the trailing edge of the wing. By implementing the Kutta condition at the trailing edge, it is being assumed that the flow separates at the trailing edge. The velocity induced on the wake nodes is computed by the Biot-Savart law. Each node in the wake experiences velocities from the freestream, the vortex panels on the surface and vortex panels in the wake. The wake nodes travel a distance that is equal to the velocity times the time interval. The wake panels contain constant circulation, which is acquired during the shedding process from the last row of panels on the wing s surface. The shedding and convection process generates the wake, which induces velocity on the control points at the next time step. The process of the formation of new vortices, and convection from the trailing edge continues for any desired number of time steps. From the nature of the wake formation process, the wake keeps a history of the circulation strength. From the Biot-Savart law, the velocity induced on a point by a vortex panel is inversely proportional to the distance. Thus, the vortices far away from the wing have negligible effect on the aerodynamic loads. Many VLM codes cut off the vortices that have traveled far from the wing. Typically, a vortex segment that has traveled a distance of 8 to chord lengths has negligible effect on the aerodynamic loads. 3 of

3. Calculation of Load Coefficient The pressure coefficient is calculated by the mathematical manipulation of the Bernoulli s equation. Bernoulli s equation for incompressible unsteady flow is given by, φ t + φ φ + p ρ = P fs (6) P fs = V + p ρ where, p is the pressure, ρ is the density of air, P fs is the far stream stagnation pressure calculated at conditions at infinity, p is the freestream pressure, V is the freestream velocity, and φ is the scalar gradient of the velocity. The pressure coefficient C p can be written as, (7) C p = p p ρv = V V φ V t (8) B. Structural modeling Consider a homogenous rectangular membrane that is supported at the edge. The boundary of the membrane wing is rigid. The membrane is stretched before attaching to the rigid boundary which leads to a pre-stress. The membrane will have different displacements at different locations on the wing plane. For constant prestress on all sides and applied aerodynamic pressure (p), the equation for the transverse deformation (w) of a dynamically deforming membrane is given by, w x + w y + p = S stress ρ m w t w S stress t (9) where, S stress is the pre-stress introduced into the membrane, ρ m is the density of the membrane, t w is the thickness of the wing. The structural equation is solved using using a Fourier series expansion for the solution: w(x,, y, t) = m leading to equations of motion for the Fourier coefficients: a mn π ( m c + n b n a mn (t) sin mπx c sin nπy b () ) + p mn S stress = ρ mt w S stress ä mn () where, (c) is the chord length of the membrane and (b) is the span. The pressure coefficients can be calculated as: C. Aeroelastic Solution p mn = ρv b c C p sin mπx c sin nπy dxdy () b Eq. has two unknowns for each equation with a value for m and n. The coupled problem is solved by approximating the unknowns using finite differencing methods. The section is divided into two parts, one for the aeroelasticity at the first time step and the other for all time steps after that.. Time t = t The rectangular wing being studied is assumed to be at rest at t = t. There are no initial deformations on the membrane wing. At this time step, it has forward velocity V and prescribed motion either in the form of an angle of attack, or plunge, or both. The following steps are taken to solve the aeroelastic problem. 4 of

The wing moves with a pitching and plunging velocity. Since there are no structural deformation there is no velocity due to membrane structural deformation. Using the no penetration condition on the control points on the wing as described in Eq. 5, the vortex ring strengths are computed. and Eq. The vortex strengths are used to compute the pressure on the surface of the wing. The bound vortex strengths computed in this time step induce a velocity on the trailing edge of the wing. This velocity along with the freestream velocity moves the vortex segments on the trailing edge into the wake. The row of vortex panels shed have the ring strengths of the vortex rings on the last chordwise row of the wing. This is where the computations end at the first time step.. Time t > t At this point we know the pressure at time t = t t. The pressure coefficients computed are then used to compute the structural coefficients in Eq.. The structural coefficients are solved by the finite difference approximation of Eq. as follows, ( ) m amn t t π c + n b + pt t mn = ρ mt w ä t t mn (3) S stress S stress The second derivative of the structural coefficients is computed using central difference and represented by, mn = at mn a t t mn + a t t mn t (4) ä t t It needs to be pointed out that the central difference scheme is nd order accurate, and thus introduces 3 rd order errors in the deformation calculation. Eq. 3 is expanded as, ρt w a t mn amn t t + a t t ( mn m S stress t + π c ) + n b a t t mn = pt t mn (5) S stress The equation above is solved for a t, with known a t t and a t t. However at t = t + t, a t t is unknown. The problem is resolved by assuming that ȧ t =. By the application of backward difference at time t = t, a t t = a t+ t. The structural coefficients can now be used to calculate the deformations at time t = t can be computed. The velocity due to the deforming membrane, structural velocity V s, is calculated using backward difference, and represented by, ẇ = wt w t t Using the backward differencing introduces errors of the second order in the velocity calculation. A predictor-corrector scheme can be implemented for higher order accuracy. The velocity acting on the control points is calculated for time and the no penetration condition is applied. (6) 5 of

D. Non-dimensional form For parametric studies the aeroelastic equations can be written in terms of non-dimensional paramaters as: ā mn + ω f mn ā mn = µ k C p mn (7) where, time is nondimensionalized by the prescribed flapping frequency ω, the nondimensional time is τ = ω t, ( ) denotes the derivative with respect to τ, ω = Sstressπ ( c + ) b is the first natural frequency ρ mt wω nondimensionalized by the flapping frequency, f mn = Am +n A+ is the square of the ratio of any natural frequency to the first natural frequency and is only a function of the aspect ratio A, space is nondimensionalized by the chord length c, nondimensional membrane deformation measure is ā mn = amn c, k = ωc V is the reduced frequency, µ = ρc 8ρ mt w is the mass ratio, and C pmn = pmn.5ρv is the nondimensional pressure coefficient. Note, for a case with no flapping (ω = ), the time is nondimensionalized by ω and thus ω = and k is replaced by k = ωc V. III. Results A. Validation. -D Validation of Aerodynamic model.5.3. D VLM 3 D VLM Vortex Strengths (m /s).5.5 D Bound D Wake 3 D Bound 3 D Wake.5 4 6 8 4 6 x locations (m) (a) Circulation z locations (m)....3.4 4 6 8 4 6 x locations (m) (b) Location of the wake vorticesafter 5 time steps.5..5. D VLM Theodorsen 3 D VLM.5 C l.5..5..5.5.5 (c) Lift coefficient Figure 3. Comparison of -D and 3-D VLM The 3-D VLM developed is validated with the -D VLM for cases of constant angle of attack; pitch; plunge; and pitch and plunge. The -D VLM s aerodynamic grid is discretized for 5 chordwise panels, whereas the 3-D VLM s wing is discretized for panels in the spanwise direction and panels in the chordwise direction. Thus, the total number of vortex panels on the wing is. Certain parameters are 6 of

kept constant for all the cases. These parameters and their values are, density of air ρ = kg/m 3, freestream velocity U = m/s, and wing chord c = 5 m. Since the vortex strengths, and lift per unit span of the 3-D VLM are compared with the corresponding values of a -D VLM, it is imperative to have a very high aspect ratio. For this purpose, the span is assumed to be 9m, giving the wing an aspect ratio of AR = 8. Having a high aspect ratio ensures that the 3-D effects are negligible. For the case of plunge, the parameters and their values are as follows; plunge amplitude of h =.s; reduced frequency k =.5; number of time steps of 5; and time interval dt =.. As can be seen from Figures 3(a), 3(b), and 3(c) the vortex strengths, wake locations and lift per unit span generated by the 3-D VLM are in agreement with the results generated by the -D method. The lift per unit span is also in agreement with the analytical result of Theodorsen. 7. 3-D validation with Doublet Lattice method.9 3 D VLM DLM.8 3 D VLM DLM.8.6.7.4 C l.6.5.4 Phase φ..8.3.6..4...5.5.5 3 3.5 4 non dimensional spanwise locations (a) Magnitude.5.5.5 3 3.5 4 non dimensional spanwise locations (b) Phase Figure 4. Comparison of C l from 3-D VLM and DLM for plunge The 3-D aspect of the aerodynamic modeling is validated with the doublet lattice method. 8 The 3-D VLM and DLM with chordwise panels and spanwise panels are considered for a wing of span m, and with a chord length of 5m. The code is validated for cases of pitch and plunge. The freestream velocity is m/s, reduced frequency is.5, and dt is.5s. For a plunge amplitude of h =.m, the amplitude of lift coefficient per unit span is compared in Figure 4(a). The VLM is run for 4 time steps, and the C l amplitude is determined from the last period of data. The phase angles for the results over the span of the wing is shown in Figure 4(b). The results of the unsteady VLM match very well with the DLM thus validating the unsteady part of the code. B. Study of loads and deformations for constant angle of attack In this section of the paper, the rectangular wing, with chord length and span of. m and.5 m respectively, is studied for a constant angle of attack of 5 o. The wing has a rigid boundary, and it supports a thin membranous surface. The membrane is modeled with the properties of nylon, ρ m = kg/m 3, and has a thickness of t w =.5s. The membrane is modeled with a pre-stress S stress = N/m and m = 3, n = 3 number of structural modes. The membrane wing is allowed to deform under the influence of the loads. The freestream velocity and density are U = m/s and ρ = kg/m 3 respectively; there are rows and columns of vortex panels on the surface of the wing, and the study is performed for 4 time steps. Each time step has a value of dt =.s. The case for the properties mentioned is referred to as the base case, and the various parametric studies conducted are compared and analyzed with respect to the base case. These studies are described below. The base case is compared to a case where the pre-stress stiffness is increased to S stress = N/m, and its influence on the loads and deformations are analyzed. The higher stiffness provides higher resistance against deformation, and is evident in Figure 5(c). The deformation for the higher pre-stress is / th the deformation of the base case. As the stiffness is increased times, the deformation will decrease by times just based on the loads at 5 o angle of attack. This lower deformation also leads to lower aeroelastic loads, 7 of

.5 S= S= S= S=. C l C d.5.5.5..5..5.3.35.4 (a) Lift coefficient.5..5..5.3.35.4 (b) Drag coefficient 7 x 3 6 S= S= 5 x 3 4.5 S= S= 5 4 3.5 4 3 w (m) 3 w (m).5.5.5.5..5..5.3.35.4 (c) Deformation at the center..4.6.8. x (d) Midspan deformation at final time step Figure 5. Simulation results for constant angle of attack of 5 o and thus in Figure 5(a) the C l for the higher pre-stress is one-half the C l of the base case. The combination of lower aeroelastic loads and higher stiffness leads to much smaller deformation for the stiffer case(/th). Also, the frequency of oscillation in the C l, C d and the wing center s deformation values increases for higher pre-stress, and the damping occurs much earlier. The effect of higher modes in the response for the higher pre-stress case appears to be negligible, and the frequency of oscillation for the load and the deformations being analyzed appear to be oscillating at the first frequency. As seen in Figure 5(d), after 4 time steps, the deformation along the midspan of the wing is much lower for the higher pre-stress case as compares to the base. Also, the peak of the deformation occurs ahead of the midchord for both the pre-stress cases. C. Study of loads and deformations for a plunging wing In this section, the rectangular wing undergoing plunge is studied and analyzed. The freestream velocity and density for the base case are U = m/s and ρ = kg/m 3 respectively. The pre-stress is S = N/m, number of structural modes is m = n = 3, reduced frequency is.5 and the plunge amplitude is h =.. Various parametric studies are performed and compared with the base case. The studies and their results are described below.. Variation in reduced frequency The base case with reduced frequency of k =.5 is compared with a frequency of k =.. In a linear sense, as the frequency is decreased from.5 to., the pressure would be expected to decrease by a factor of.5 since we are considering a case of plunge and the magnitude of the effective angle of attack for the plunge case is derived from ḣ and thus proportional to h k. For clarity in comparison, the C l for the k =. 8 of

.5..5. k=.5.5c l k=..5 x 4.5 k=.5.5 C d k=..5 C l C d.5.5..5.5. 3.5..4.6.8..4 (a) Lift coefficient t..4.6.8..4 (b) Drag coefficient t.5 x 3 k=.5.5w k=..5 w/c.5.5..4.6.8..4 (c) Deformation at the center t Figure 6. Simulation results for a plunging wing for varying reduced frequency case is multiplied by.5 and plotted in Figure 6(a). Also, since the frequency is changed, the time on the x scale is changed to a non dimensional temporal parameter given by, t = t T (8) where, T is the period The change in the scale for the x axis squeezes the data for the k =. case as it undergoes fewer oscillations, but the plotted data is much easier to analyze. The lift coefficient and deformation change by a factor of.5, and the drag coefficient changes by a factor of.5. There is slight difference in the magnitude and phase of the results. The lower reduced frequency has higher loads and lower phase lag relative to the plunge motion as expected from Theodorsen s function.. Variation in stiffness In this study, the base case with a pre-stress stiffness of S stress = N/m is compared with a case where the pre-stress is S stress = N/m. In the previous two comparisons, the varied parameter changed the input prescribed motion and thus changed the aerodynamic loads and thus the structural deformation. In this case, however, the varied parameter has a direct influence on the structural deformation. As the pre-stress stiffness is decreased, higher membrane deformation is expected. This is evident in Figure 7(c), which shows that the deformation is more than times that of the base case. The lift rises for lower stiffness, as seen in Figure 7(a). This is because, as the membrane deformation rises, the pressure on the wing rises. However, considerable change is observed in the drag coefficient results, as seen in Figure 7(b). This is because, as the stiffness is reduced and the deformation rises, the pressure acting on the membrane gets more inclined 9 of

.4.3 S= S= x 4 S=.C d S=.. C l C d. 3. 4.3 5.4.5..5..5.3.35.4 (a) Lift coefficient 6.5..5..5.3.35.4 (b) Drag coefficient 4 x 4 3 S=.w S= w (m) 3 4.5..5..5.3.35.4 (c) Deformation at the center Figure 7. Simulation results for a plunging wing for varying pre-stress toward the freestream direction resulting in a much higher component of the pressure as compared to the previous studies, resulting in higher thrust. The thrust generated is more than times what is generated by the base case. IV. Conclusions An aeroelastic model of a membrane wing is developed for conducting preliminary aeroelastic analysis and design of MAVs. The unsteady aerodynamics of the model is based on the vortex lattice method. The unsteady aerodynamic code has been validated with a -D VLM, and the 3-D aerodynamics has been validated with the doublet lattice method. To ascertain that the non-linear effects of the flow are captured, the wake locations of the 3-D code were matched with those of the -D VLM. The aerodynamic program is then interfaced with the structural code. The structural code is designed for a rectangular wing modeled by a rigid boundary structure supporting a membrane with the properties of nylon. The deformation of the structure is calculated using Fourier series expansion. The coupled model is studied for constant angle of attack and oscillating plunge. For the studies conducted, various parameters such as the structural stiffness S stress and reduced frequency k are varied. For constant angle of attack, as the stiffness of the membrane is increased, lower deformation is experienced, which in turn yields a lower lift and lower drag. For an oscillating plunge motion, as the stiffness of the membrane is reduced, higher deformation is experienced, which in turn yields a higher lift and much higher thrust. For an oscillating plunge motion, in all the cases considered, thrust is generated. The deformation of the wing had a significant impact on the thrust generated by the wing. of

References Singh, B. and Chopra, I., Dynamics of Insect-Based Flapping Wings: Loads Validation, Proceedings of the 47th AIAA/ASME/ASCE/ASC Structures, Structural Dynamics, and Materials Conference, Newport, Rhode Island, May 6. M. Abdulrahim, R. Albertani, et al, Design of The University of Florida Surveilance and Endurance Micro Air Vehicles, Tech. rep., University of Florida, 3. 3 R. Albertani, P. Barnswell, et al, University of Florida Biologically Inspired Micro Air Vehicles, Tech. rep., University of Florida, 4. 4 Preidikman, S., Numerical Simulations of Interactions Among Aerodynamics, Structural Dynamics, and Control Systems, Ph.D. thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, October. 998. 5 Wang, Z., Time-Domain Simulations of Aerodynamic Forces on Three-Dimensional Configurations, Unsteady Aeroelastic Responses, and Control by Neural Network Systems, Ph.D. thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, May. 4. 6 Katz, J. and Plotkin, A., Low-Speed Aerodynamics, Cambridge University Press, San Diego, California, US,. 7 Bisplinghoff, R. L., Ashley, H., and Halfman, R. L., Aeroelasticity, Addison-Wesley Publishing Co., Reading, Massachusetts, 955. 8 Albano, E. and Rodden, W. P., A Doublet-Lattice Method For Calculating Lift Distributions On Oscillating Surfaces In Subsonic Flow, AIAA Journal, Vol. 7, No., Feb. 969, pp. 79 85. of