Drone development and manufacturing have garnered significant attention in recent times. Unmanned Aerial Vehicles (UAVs), called quadcopters or drones, are now ubiquitous across many sectors, including aerial photography, surveillance, search and rescue, and delivery services. Foldable quadcopters offer multiple advantages, such as ease of portability, efficient storage, and enhanced durability. Additive manufacturing, popular as 3D printing, has transformed the fabrication paradigm, facilitating the layer‐by‐layer creation of intricate forms and structures. When juxtaposed with traditional manufacturing methods, the benefits of using additive manufacturing to produce quadcopters become evident, manifesting in shorter lead times, increased design flexibility, and diminished material wastage. This chapter delves deeply into the design, analysis, and fabrication of a foldable quadcopter harnessing additive manufacturing. Integrating a folding mechanism in the design ensures the quadcopter's easy stowage and transportation. The Fused Deposition Modeling (FDM) technique is employed for crafting the structural components, striking a balance between lightweight design and robust construction. The quadcopter is powered by brushless motors and a controller that ensures stable flight and precise maneuvering. The chapter underscores the benefits of leveraging additive manufacturing techniques, especially in designing and constructing foldable quadcopters, catering to research needs and rapid prototyping. The fruitful embrace of additive manufacturing paves the way for its broader application in UAV fabrication, foldable frame design, flight controller calibration, and the integration of artificial intelligence and machine learning algorithms. This chapter is a cornerstone for prospective research and innovations in foldable quadcopters, spotlighting the transformative potential of additive manufacturing in refining UAV design, production, and further evolution.
Foldable Quadcopters
Design, Analysis, and Additive Manufacturing for Enhanced Aerial Mobility
Unmanned Aircraft Systems ; 477-518
30.12.2024
42 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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|Hovering synchronization of a fleet of quadcopters
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