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Optimal Design of Compliant Trailing Edge for Shape Changing

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Optimal Design of Compliant Trailing Edge for Shape Changing Chinese Journal of Aeronautics Chinese Journal of Aeronautics 21(2008) 187-192 www.elsevier.com/locate/cja Optimal Design of Compliant Trailing Edge for Shape Changing Liu Shili, Ge Wenjie*, Li Shujun School of Mechatronics, Northwestern Polytechnical University, Xi’an 710072, China Received 19 July 2007; accepted 2 January 2008 Abstract Adaptive wings have long used smooth morphing technique of compliant leading and trailing edge to improve their aerodynamic characteristics. This paper introduces a systematic approach to design compliant structures to carry out required shape changes under distributed pressure loads. In order to minimize the deviation of the deformed shape from the target shape, this method uses MATLAB and ANSYS to optimize the distributed compliant mechanisms by way of the ground approach and genetic algorithm (GA) to remove the elements possessive of very low stresses. In the optimization process, many factors should be considered such as airloads, input dis- placements, and geometric nonlinearities. Direct search method is used to locally optimize the dimension and input displacement after the GA optimization. The resultant structure could make its shape change from 0 to 9.3 degrees. The experimental data of the model confirms the feasibility of this approach. Keywords: adaptive wing; compliant mechanism; genetic algorithm; topology optimization; distributed pressure load; geometric nonlin- earity 1 Introduction* changing. Nevertheless, compared to the compliant mechanism, the smart-material-made actuators have As conventional airfoil contours are usually many disadvantages, such as deficient in energy, designed with specific lift coefficients and Mach slow in response, strong in hysteresis, limited by numbers, they could not change in accordance with temperature, and difficult to control too many ac- the environment changing. Siclari and Austin[1] in- tuators. Musolff[2] from Industry University of Ber- dicated that the variable camber trailing edge would lin used Ni-Ti shape-memory-alloy wire to make an produce the drag about sixty percent less than the adaptive variable camber wing, which could quickly conventional fixed camber airfoil. change its shape, but could not perform highly fre- There are three methods used to design vari- quent alteration because of its resilience dependent able camber wings. Of them, one is conventional on the heat exchange with the outside environment. hinged mechanism, which, however, will create Compliant mechanism is a kind of one-piece discontinuities over the wing’s surface leading to flexible structure, which can transfer motion and earlier airflow separation and drag increase. The power through its own elastic deformation. It is not others are smart material and the compliant mecha- only flexible enough to deform, but also has enough nism, of which both could realize smooth shape stiffness to withstand external loads. Thanks to its *Corresponding author. Tel.: +86-29-88493929. joint-free nature, it does not have the troublesome E-mail address:[email protected] Foundation item: National Natural Science Foundation of China problems confronted by conventional mechanism, (50675175) · 188 · Liu Shili et al. / Chinese Journal of Aeronautics 21(2008) 187-192 such as friction, lubrication, noise and recoiling, This paper presents a method to design the thereby achieving smooth shape changing. shape changeable structure by MATLAB and AN- In 1994, Kota[3], a professor from University of SYS associated with distributed compliant mecha- Michigan, firstly pointed out that compliant mecha- nism on the base of the ground structure approach nism could be used to control static shape changing and genetic algorithm (GA) taking into account the under the sponsorship of the Air Force Office of external distributed loads and geometric nonlinear- Scientific Research in USA. Saggere and Kota[4] ity. suggested a new method to design compliant adap- tive structures, which made the least square errors 2 Optimization Process between the shape-changed curve and the target 2.1 Defining the trailing edge model and ob- curve as the objective function for optimization. jective function Based on their work, Lu[5] put forward a load path representation method. However, her work was lim- As shown in Fig.1, both curves represent two ited to only linear analysis under consideration of ideal shapes of the trailing edge in the different fly- nodal loads. Good[6] from Virginia Polytechnic In- ing states. One side (A point) of the structure is stitute of State University used the compliant supposed to be fixed, and the other side (B point) to mechanism and the Moving Asymptotes method to be sliding horizontally. design the fuselage tail within the allowable range of its tip maximal deflection. Kota and Hetrick[7] in 2004 designed a compliant trailing edge on the base of the F16’s data, which can change from 0° to 15° and obtained a patent. Campanile[8] from German Aerospace Center presented a modal procedure to design synthetic flexible mechanisms for airfoil shape control, and pointed out that the future re- search should take into account the airload and the Fig.1 Initial shape and target shape. geometric nonlinearity. Buhl[9] from Risø National Firstly, the design domain should be defined by Laboratory of the Wind Energy Department in the initial curve shape, the input location and the Denmark used the SIMP method and geometrically boundary conditions. Then, it is divided with a nonlinear finite element method to design compliant beam element network simulating the bird’s feather trailing edge flaps. FlxSys Inc in 2006 produced an as shown in Fig.2. This is termed the partial ground adaptive compliant wing, which stood the test on structure method. the White Knight airplane. The results indicated that the compliant trailing edge could change ±10°[10]. In China, the research of adaptive wing has been con- centrated on smart material and conventional mechanism. Few people, it seems, have worked on designing adaptive wings with the compliant mechanism. Yang is an exception. He analyzed the Fig.2 Discretization of the design domain. active aero-elastic wings based on the aero-servo- elasticity technology[11]. Chen and Huang separately The simplest and most effective way to manu- investigated the morphing of the compliant leading facture the planar compliant mechanism is to use edge from the viewpoints of discreteness and conti- wire-cutting technology. In the optimization pro- nuity[12-13]. gram, all the elements are of rectangular beams with Liu Shili et al. / Chinese Journal of Aeronautics 21(2008) 187-192 · 189 · the same width equal to the thickness of the material, method, it does not require the gradient-based in- every beam’s height being a design variable. formation of the objective function. In order to make the structure’s deformation Every element could be expressed as a topo- come close to the target shape curve, the least logy variable and a dimension variable[5]. There- square error (LSE) between the deformed curve and foreˈeach individual could be coded as follows the target curve is defined as the objective function. U=>TT12 Tinn T 1 T LSE is the sum of squares of position differences of hh12"" hinn h 1 h h b@ (7) various points along the curves[5]. Its expression is p where n is the number of elements except the 22 minfx ( ) ¦ ( xTar,ii x Def, ) ( y Tar, ii y Def, ) (1) boundary ones. With the same heights, the boundary i 1 elements throughout the optimizing process are where i (=1, 2, ···, p) is the number of the points represented by only one variable, hb. along the curves, p is the total number of points. The fitness is the criterion of the GA optimiza- (xTar,i, yTar,i) and (xDef,i, yDef,i) are the coordinates of tion. It could be transformed from the objective ith node on the target and deformed boundary curve function into[12] respectively. Fit(f (xfx )) exp(E ( )) (8) The constraints are hmin < hi < hmax (2) where E is a coefficient deciding the compulsive hmin < hb < hmax (3) selection of the better individual. The smaller the ddmax d [] (4) value, the more different would be between the two VVmaxd s (5) individuals’ fitness thus increasing the compulsive- ness of choosing the individual of higher fitness. Tj {0,1} (6) The selection of control parameters plays an where j (=1, 2, ···, m) is the number of elements, m important role in the convergence of the GA. Gen- is the total number of elements, hi the dimension erally speaking, the cross probability ranges 0.40- variable, hmin and hmax are the lower and upper 0.99; the mutation probability is 0.000 01-0.01, and bounds of the element beam height for all elements the number of individuals 10-200. with the value dependent on manufacturing, hb the The variable would be updated through the height of the boundary elements, dmax the maximum crossover and mutation, so the possible design could nodal deformation of the nodes on the curve bound- generate in the GA process. ary when the input point is inactive, and should be 2.3 Finite element analysis (FEA) smaller than [d] to ensure structure stiffness, [d] the allowable maximum displacement when the input Because of the limited design variables and the point is inactive, Vmax the maximum stress of all the target function, the optimization module of FEA elements which must be smaller than Vs to prevent software could not be used to design the compliant yielding, Tj the topology variable equal to 1, or else morphing mechanism. Therefore, this paper pro- 0 when the element is eliminated. grammed the GA in MATLAB and the FEA in ANSYS. In the FEA, taking only account of geo- 2.2 GA optimization metric nonlinearities and the material being of linear GA is an optimization method which simulates elasticity, ANSYS could solve the node displace- the heuristic selection rule in nature, where the fit- ments and the element stresses.
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