SELECTION OF THE BEST UNMANNED AERIAL VEHICLE DESIGN USING AN INTEGRATED APPROACH OF PHYSICAL PROGRAMMING AND COMPUTATIONAL FLUID DYNAMICS

Drone technology has advanced rapidly, increasing its use across various industries. The drone industry's revenue grew from US$ 4 million in 2016 to US$ 9.6 billion in 2023 and is projected to reach US$ 12.8 billion by 2025. However, unsystematic UAV development methods have resulted in high...

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Bibliographic Details
Main Author: Nabhan Yaman, Achmad
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/84310
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Drone technology has advanced rapidly, increasing its use across various industries. The drone industry's revenue grew from US$ 4 million in 2016 to US$ 9.6 billion in 2023 and is projected to reach US$ 12.8 billion by 2025. However, unsystematic UAV development methods have resulted in high costs and long design times due to inefficient trial-and-error approaches. Current design methods do not support automatic design selection. This research employs CFD simulations to analyze the aerodynamic performance of UAVs in detail, while physical programming methods assist in the design selection process based on predetermined criteria. The primary objective is to develop an integrated metode of physical programming and CFD simulation for UAVs and design an application that implements this metode using Ansys and MATLAB software. The integration metode combines various elements or components into a single, harmoniously functioning unit. The developed application is verified, validated, and tested to ensure its accuracy and reliability in analyzing UAV aerodynamic performance. Test results indicate that the application can provide optimal design solutions. The integration metode is tested by comparing it with the trial-and-error method used by designers. The integration metode demonstrates a time reduction of 6 to 16 times, or a 90 percent reduction in the time required compared to manual trial-and-error methods. Analysis results show that the integration metode and application can provide the best design more efficiently and effectively than conventional methods.