Research on the Rapid Prototyping Design and Optimization of 3D-Printed UAVs for Disaster Relief and Search-and-Rescue

Authors

  • Dikai Wu

DOI:

https://doi.org/10.61173/3rxwrd94

Keywords:

UAVs, Disaster relief, Additive manufactur-ing, 3D printing, Rapid prototyping, Structural optimiza-tion

Abstract

Natural disasters threaten the escalating threat of human security and infrastructure, highlighting the urgent need for efficient and adaptive rescue technologies. Unmanned aerial vehicles (UAVs) have become important tools for disaster response, but their extensive deployment is often limited by traditional manufacturing, such as long-term production cycles and high levels. This study studies the integration of manufacturing (3D printing) in rapid forming and optimization. Through the evaluation of the main printing process, including the Fused Deposition Modeling (FDM), Stereolithography (SLA) and Selective Laser Sintering (SLS) -- the study assessed their applicability to the lightweight, modular and task specific UAV components. The case studies on folding-wing and amphibious avs show how 3d printing can be quickly customized and functional, and structural optimization methods, such as a lattice infill and composite cement, help reduce the mechanical ability of 20-30% and enhanced. Despite the challenges associated with material durability and production scalability, additive manufacturing provides a promising way to respond with responsive, resilient, and cost-effective uav solutions.

References

[1] Qiu Qiang. Design and simulation of portable foldable-wing UAV for search and rescue. Nanjing: Nanjing University of Aeronautics and Astronautics, 2024.

[2] Sang Yu. Research on the design of UAVs for marine search and rescue. Changchun: Changchun University of Technology, 2020.

[3] Bai Tian, Tang Wen, Liu Yang, Yu Ming, Jiang Yuliang. UAV formation cooperative obstacle avoidance based on improved APF method under variable topology. Science China Technological Sciences, 2025, 68(9): 1920403:1–1920403:14.

[4] Cao Zhou, Chen Guang. Enhanced deep reinforcement learning for integrated navigation in multi-UAV systems. Chinese Journal of Aeronautics, 2025, 38(8): 103497:1–20.

[5] Wang Yihan, Zhang Yi, Zhou Rui, et al. Differential physicsenabled deep learning for autonomous drone racing and swarm navigation. Nature Machine Intelligence, 2024, 6: 1176–1187.

[6] United Nations Office for Disaster Risk Reduction (UNDRR). Human cost of disasters: An overview of the last 20 years. Geneva: UNDRR, 2020.

[7] DJI. Mavic 3T specifications. Shenzhen: DJI, 2023.

[8] DJI. Matrice 300 RTK specifications. Shenzhen: DJI, 2023.

[9] Gibson I, Rosen D, Stucker B. Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing. 2nd ed. New York: Springer, 2015.

[10] Ford S, Despeisse M. Additive manufacturing and sustainability: An exploratory study of the advantages and challenges. Journal of Cleaner Production, 2016, 137: 1573– 1587.

[11] Gebhardt A, Hötter J-S. Additive manufacturing: 3D printing for prototyping and manufacturing. Munich: Hanser Publishers, 2016.

[12] Chua C K, Leong K F, Lim C S. Rapid prototyping: Principles and applications. 3rd ed. Singapore: World Scientific, 2010.

[13] Yang Jiajun, Cao Wei, Ma Haitao, Zhang Mingyu, Liu Jie, Luo Yali. Optimization design and 3D printing of a continuous carbon fiber-reinforced unmanned aerial vehicle shell. Polymer Composites, 2025.

[14] Wang Gang, Xu G. S., Wang Yukun, Yao Yimeng, Wang Kun, et al. Deployment modes and aerodynamic analysis of UAV orthogonal biaxial folding wing. Aerospace, 2022, 10(1): 26. Dean&Francis ISSN 2959-6157

[15] Xu Ye, Xu Guosheng, Wang Yukun, et al. Design of stepby-step deployment mechanism and dynamics analysis for UAV folding wing. Modern Defence Technology, 2024.

[16] Qi Wuchao, Wu Shimiao, Tian Sumei, et al. Flutter characteristics of a modified Z-shaped folding wing using a new non-intrusive model. Aerospace, 2024, 11(6): 425.

[17] Qin Yixian, Li Yang, Wei Xuan, Zhang Fu, et al. Hybrid aerial–ground locomotion with a single passive wheel. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Las Vegas: IEEE, 2020: 1371–1376.

[18] Skorobogatov M, Barrado C, Pastor E. UAV application in maritime search and rescue operations. Sensors, 2020, 20(20): 5600.

[19] Wang Wei, Huang Liang, Yang Tao. A cooperative UAV– USV system for maritime search and rescue. Journal of Marine Science and Engineering, 2023, 11(2): 293.

[20] Cooper John P, Murphy Brendan J. Using UAVs for posthurricane damage assessment: Opportunities and challenges. International Journal of Disaster Risk Reduction, 2021, 60: 102276.

[21] Wu Xin, Li Ming, Zhang Yang, et al. Material properties and structural optimization in 3D printed UAV components. Additive Manufacturing Letters, 2024, 4: 45–56.

[22] Lu Yin, Liu Jinzhi, Zhang Min. A model-assisted federated reinforcement learning method for multi-UAV path planning. Journal of Electronics & Information Technology, 2025, 47(3): 1–10.

Downloads

Published

2025-12-19