Low Dimensional Morphology Analysis and Computational Optimization of Flapping Propulsors in Nature
Ren, Yan, Mechanical and Aerospace Engineering - School of Engineering and Applied Science, University of Virginia
Garner, Gavin, Department of Mechanical and Aerospace Engineering, University of Virginia
Reidenbach, Matthew, Department of Environmental Sciences, University of Virginia
Loth, Eric, Department of Mechanical and Aerospace Engineering, University of Virginia
Xu, Baoxing, Department of Mechanical and Aerospace Engineering, University of Virginia
Dong, Haibo, Department of Mechanical and Aerospace Engineering, University of Virginia
Flapping propulsion is widely adopted by many natural flyers/swimmers, including insects, birds, fishes, and marine mammals. It offers an attractive alternative to conventional propulsion methods for future bio-inspired aerial/underwater systems. However, due to lack of effective technology of studying the highly complex propulsor morphing kinematics and its associated aero/hydrodynamics, achieving biological levels of aero/hydro-performance in bio-inspired flapping propulsor design has proven elusive. Here, an integrated experimental and computational methodology has been developed to systematically study the flapping propulsion system in nature. The goal is to advance the fundamental knowledge of biological fluid dynamics in animal flight/swimming, and provide guidance for future optimal designs of bio-inspired flapping propulsors.
The current dissertation consists of two parts, tools development and analysis of propulsion systems. In the first part, the integrated methodology is introduced, and the corresponding major contributions of the work are: (1) a highly versatile and accurate joint-based surface reconstruction method is developed to quantify the propulsor flexion and body kinematics of animals in free flight/swimming; (2) a spherical-coordinates-based singular value decomposition (SSVD) method is developed to perform low dimensional morphology analysis of flapping propulsors in nature; (3) an immersed boundary method for deformable attaching bodies (IBM-DAB) is developed to handle direct numerical simulations (DNS) in some extreme situations which are commonly exist in nature, including solid body with sharp edge and with deformable attaching membrane bodies; (4) a highly efficient gradient-based parallel curve searching optimizer is developed to explore design space of flapping propulsors.
In the second part, the aforementioned integrated approach is applied to study several problems. We first investigate the optimal configurations of several morphological parameters, which control the dynamic camber and twisting of the propulsors, on aerodynamic performance using simplified canonical models. Optimizations of dynamic camber formation of 2D pitching-plunging plates and dynamic twisting of 3D pitching-rolling plates are performed. It is found that the morphological parameters play important roles in the plate aerodynamic performance and wake structures. Comparing to completely rigid plate, the thrust production and propulsive efficiency of optimized plates can be improved up to 29.1% and 43.1%, respectively. The associated flow mechanisms are found to be the improved strength and attachment of leading-edge vortex (LEV).
Next, the integrated approach is used to study the complex morphing propulsor kinematics and the associated aero/hydrodynamics of natural flyers/swimmers in relatively simple motions, such as hovering and fast swimming. The SSVD analysis of the forewing motion of a hovering dragonfly reveals that the complicated wing motion can be represented by a low dimensional model contains two dominant SSVD modes, a flapping mode and a morphing mode. The low dimensional model contains 92% of the original motion, and can recover up to 96% of the aerodynamic performance. Similar analysis is performed on the morphing fluke kinematics of a fast swimming orca. The results show that two dominant modes, a spanwise morphing mode and a chordwise morphing mode can be identified. The low dimensional model consists of these two modes contains 74.3% of the original motions, and can fully recover the hydrodynamic performance. In addition, a unique tri-ring vortex structure, which is closely related to the biology of cetaceans, is found in the wake of the swimming orca. Parametric studies on the aero/hydrodynamic role of those dominant modes reveal that the morphing modes (including the morphing mode of the dragonfly wing and the spanwise and chordwise morphing modes of the orca fluke) amplitudes and phases are critical control parameters to achieve optimal aero/hydrodynamic performance. We further investigate optimal configurations of dominant modes on aerodynamic performance for the dragonfly wing. The corresponding optimized low dimensional wing models, which can beyond biological levels of aerodynamic performance, are obtained. The associated flow mechanisms are found to be the improved LEV attachment and the reduced TV strength.
In the last part of the dissertation, the integrated approach is extended to study the most complex propulsion system in nature. The 3D wake structures and aerodynamic performance of a freely maneuvering hummingbird is studied in detail. Our simulation results show asymmetric wake structure between inner and outer wings of the hummingbird. A unique duel-ring vortex structure, which is the source of the wake asymmetry, is found in the wake of one of the two wings of the hummingbird. The duel-ring vortex structure corresponds to larger wing twisting and lower drag production, which creates unbalanced aerodynamic forces to help with the maneuver.
In the future, the extension of this work will be on the SSVD analysis and computational optimization of highly complex flapping propulsion systems, such as maneuvering birds/insects, burst-and-coast fishes, etc. The methodology and findings of this work have the potential to bring new insights into the future design of high-performance bio-inspired systems.
PHD (Doctor of Philosophy)
low dimensional modeling, computational optimization, bio-inspired design, flapping propulsion, flapping wing, insect flight, hummingbird maneuver, cetacean swimming, SVD, POD, CFD, DNS
AFOSR FA9550-12-1-0071AFOSR FA9550-11-1-0058ONR MURI N00014-08-1-0642NSF CBET-1313217