Topology Optimization with Generative Design on Albatross Inspired Wing

The albatross wing profile, renowned for its superior lift-to-drag ratio at low angles of attack, presents a promising model for enhancing the aerodynamic efficiency of fixed-wing Unmanned Aerial Vehicles (UAVs). UAVs can achieve improved aerodynamic performance by mimicking the design of the albatross wing. However, the challenge lies in ensuring that the wing and its supporting structures are as lightweight as possible while maintaining the structural integrity required to withstand the stresses of flight.This study explores the use of generative design for topological optimization to significantly reduce the mass of wing ribs and spars, particularly in the context of albatross-inspired wing structures–an area that remains under-explored in existing literature. Generative design leverages the computational power of cloud-based platforms to automatically generate and evaluate numerous design iterations. In each iteration, the algorithm redistributes material from low-stress regions to high-stress regions, evolving the geometry to meet predefined constraints such as strength, stiffness, and manufacturing feasibility. Through this iterative, data-driven approach, the design process converges toward an optimized structure that minimizes weight while maintaining structural integrity. As a result, the mass of the wing rib was reduced by a factor of 2.94, demonstrating the effectiveness of generative design in achieving high-performance, lightweight structures without compromising mechanical performance.Through the integration of the generative design method in the design process, the study aims to develop a wing structure that not only mimics the aerodynamic efficiency of the albatross but also meets the stringent weight and strength requirements of the UAVs. The results of this research have the potential to contribute significantly to the field of UAV design, leading to more efficient, lightweight, and robust aerial vehicles.