Optimization of Monocoque Drone Frame Using Generative Design

Current issues in the drone fabrication are to increase the structural rigidity by having an optimum or by reducing weight of the drone. Similarly, to have enhanced structural integrity of the frame while lifting heavy loads during the flight, a solution to this problem will lead to reduce the flight time completion of tasks. To address these problems a generative design approach is implemented to design a monocoque drone frame. The designed frame has been analyzed to withstand the various failure loads using Autodesk Fusion 360. Based on the generative design approach 20 possible design outcomes are obtained and out of 20 one best design is selected based on the factor of safety and the stress values. Further, different load cases are considered for the static structural analysis of the selected drone frame to withstand the payload of $1 \mathrm{~kg}$. The results obtained from the simulations and finite element analyses were found to be satisfactory. Finally, the drone was fabricated using Nylon PA12 material and the drone frame weight is found to be 150 grams lighter than the conventional drone.