This study focuses on optimizing the shape and dimensions of the wing for a small to medium-sized fixed-wing UAV, considering both structural and aerodynamic factors. It utilizes Finite Element Analysis and Lifting Line Theory, along with gradient-based optimization, to achieve a lightweight, swept-back wing design that can adapt to various composite materials and orientations for future multidisciplinary optimization.

QBiT stands at the forefront of aerial technology, exemplifying the fusion of versatility and efficiency in unmanned aerial vehicles. Its quadcopter foundation allows for precision hovering and maneuverability, while the biplane wings unlock new horizons regarding extended flight range and endurance. This groundbreaking platform is poised to revolutionize applications such as surveillance, aerial mapping, and environmental monitoring, where the ability to seamlessly transition between hovering and forward flight is paramount. With QBiT, the sky is no longer a limit but an expansive realm for innovation and exploration.