Nils
Kiefer

SURF AUV Retrieval Manipulator Innovative Technology / Entrepreneurship / Design

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Nils Kiefer

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Research vessels often face delays during the deployment and retrieval of Autonomous Underwater Vehicles (AUVs) at sea. Automating this process using drones can significantly improve efficiency. This project focuses on developing effective gripping mechanisms for drone-based AUV retrieval. The main challenge is to ensure the gripping mechanism is accurate enough to attach to the AUV without compromising the drone's flying ability. Two mechanisms are compared: a hook design and a string-bow design. The string-bow design offers a wider x-y angle range and greater z tolerance, accommodating variable AUV orientations and rough sea states. Conversely, the hook design requires careful determination of the suitable length to ensure effective attachment. Techniques such as compliant mechanisms with print-in-place hinges, 3D printing, and carbon fiber construction are employed to minimize weight and reduce aerodynamic impact. CAD modeling and finite element analysis (FEA) are used to optimize strength and flexibility, while rapid prototyping allows for quick modifications based on testing results. Success rates and time metrics from 10 flight tests are used to compare the mechanisms. Increasing the margin for error when the drone attaches to the AUV is crucial. The gripping mechanism is designed with a larger tolerance for misalignment, ensuring reliable attachment. Physical testing on a scaled- down model simulates real-world conditions, providing insights into performance and reliability. The goal is to create a gripping mechanism that maximizes the margin for future flight algorithms, facilitating precise AUV retrieval and enhancing the efficiency of marine research activities. Keywords: AUV; Drone; Manipulator; Design; CAD

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Purdue University / 2024

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Nils Kiefer

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