Abstract

Research on aerial robotics particularly the articulated/flapping wing robots have gained a
remarkable attention during the recent years due to their agility and stealthiness in surveillance and reconnaissance missions. However, wing flapping is highly energy-intensive that
can be complemented by gliding to conserve energy for long-range flights as demonstrated
by desert locusts (Schistocerca gregaria). Therefore, inspired by this insect we explore
novel solutions in this thesis to address some of the challenging problems of aeronautics
concerning development, fabrication, and aerodynamic optimisation of a bio-inspired glid�ing wing for micro aerial vehicle (MAV) applications. Initially, we investigate the aerofoil
geometries (2D wings) of a locust by performing a pseudo-microscopic scanning of its
wings in gliding posture. Using numerical analysis and a novel optimisation methodology
based on Nash-Genetic Algorithms, we study and enhance the aerodynamic performance
of the digitally reconstructed aerofoils. The optimised as well as the original aerofoils are
integrated using Computer-Aided Design (CAD) to form 3D wings that are subjected to a
Computational Fluid Dynamics (CFD) modelling, and a Finite Element Analysis (FEA) to
validate their aerodynamic performance and manufacturing-worthiness, respectively. Having established the required performance criteria numerically, a novel combination of fabrication techniques involving 3D printing, vacuum thermoforming, and laser trimming is
proposed to realise the digital wings as artificial wing prototypes. Furthermore, we explore
the novel Computer-Associated Design (CAsD) based on machine learning technology to
obtain computer-generated wings for a detailed comparative study of the mechanical properties associated with each wing prototype designed by an engineer, a computer, and the
nature.