Rapid Manufacturing of Lightweight Drone Frames Using Single-Tow Architected Composites
Md Habib Ullah Khan, Kaiyue Deng, Ismail Mujtaba Khan, Kelvin Fu
备注：
The authors have withdrawn this preprint due to recently established confidentiality obligations that restrict the public disclosure of material contained in the manuscript
The demand for lightweight and high-strength composite structures is rapidly growing in aerospace and robotics, particularly for optimized drone frames. However, conventional composite manufacturing methods struggle to achieve complex 3D architectures for weight savings and rely on assembling separate components, which introduce weak points at the joints. Additionally, maintaining continuous fiber reinforcement remains challenging, limiting structural efficiency. In this study, we demonstrate the lightweight Face Centered Cubic (FFC) lattice structured conceptualization of drone frames for weight reduction and complex topology fabrication through 3D Fiber Tethering (3DFiT) using continuous single tow fiber ensuring precise fiber alignment, eliminating weak points associated with traditional composite assembly. Mechanical testing demonstrates that the fabricated drone frame exhibits a high specific strength of around four to eight times the metal and thermoplastic, outperforming other conventional 3D printing methods. The drone frame weighs only 260 g, making it 10% lighter than the commercial DJI F450 frame, enhancing structural integrity and contributing to an extended flight time of three minutes, while flight testing confirms its stability and durability under operational conditions. The findings demonstrate the potential of single tow lattice truss-based drone frames, with 3DFiT serving as a scalable and efficient manufacturing method.
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KAIST（韩国科学技术院）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；University of Helsinki（赫尔辛基大学）；Fudan University（复旦大学）；The Hong Kong University of Science and Technology（香港科技大学）
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University of Bologna（博洛尼亚大学）；ETH Zürich（苏黎世联邦理工学院）；Technology Innovation Institute（技术创新研究院）；Dalle Molle Institute for Artificial Intelligence（达勒·莫勒人工智能研究所）
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Brno University of Technology（布尔诺理工大学）；VSB - Technical University of Ostrava（俄斯特拉发技术大学）；University of Ostrava（俄斯特拉发大学）；Mendel University in Brno（布尔诺孟德尔大学）
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Institute for AI Industry Research, Tsinghua University, Beijing, China（人工智能产业研究院，清华大学，北京，中国）；Department of Electronic Engineering, Tsinghua University, Beijing, China（电子工程系，清华大学，北京，中国）；School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China（遥感与信息工程学院，武汉大学，武汉，中国）
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Institute of Cyber-Systems and Control, College of Control Science and Engineering, Zhejiang University（浙江大学控制科学与工程学院网络系统与控制研究所）；Differential Robotics Technology Company（差分机器人技术公司）
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College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院）；WINDY Lab, School of Engineering, Westlake University（西湖大学工程学院WINDY实验室）；School of Automation Science and Electrical Engineering, Beihang University（北航自动化科学与电气工程学院）
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Commonwealth Scientific and Industrial Research Organisation (CSIRO)（联邦科学与工业研究组织（CSIRO））；Australian Centre for Robotics (ACFR)（澳大利亚机器人中心（ACFR））；The University of Sydney（悉尼大学）
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones
Dalle Molle Institute for Artificial Intelligence (IDSIA)（达勒·莫勒人工智能研究所）；USI（瑞士意大利语区大学）；SUPSI（瑞士应用科学大学）；Integrated Systems Laboratory (IIS)（集成系统实验室）；ETH Zürich（苏黎世联邦理工学院）
Coordinated Autonomous Drones for Human-Centered Fire Evacuation in Partially Observable Urban Environments
Mechanical Engineering University of California, Berkeley（机械工程 加州大学伯克利分校）；Computer Sciences University of California, Berkeley（计算机科学 加州大学伯克利分校）；Computer Engineering Johns Hopkins University（计算机工程 约翰霍普金斯大学）
ATRACT: A Trustworthy Robotic Autonomous system to support Casualty Triage
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