Vision-guided robotic system for aero-engine inspection and dynamic balancing.

Autor: Ramadan M; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., Youssef A; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., Ayyad A; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., AbuAssi L; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., Hay OA; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., Salah M; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., Moyo B; Research and Development, Sanad, Abu Dhabi, United Arab Emirates., Zweiri Y; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.; Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates., Abdulrahman Y; Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. yusra.abdulrahman@ku.ac.ae.; Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates. yusra.abdulrahman@ku.ac.ae.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Dec 28; Vol. 14 (1), pp. 30742. Date of Electronic Publication: 2024 Dec 28.
DOI: 10.1038/s41598-024-80540-w
Abstrakt: The fourth industrial revolution witnessed significant advancements in automating numerous aircraft inspection tasks. Still, certain critical procedures continue to rely on manual execution, including the aero-engine blade weighing process. This task is of paramount importance for blade mass inspection and engine dynamic balancing. Yet, automation of aero-engine blade weighing remains a challenge due to the intricate geometry of engine blades, and the stringent requirements on precision. To address this gap, this paper introduces, for the first time, a vision-guided robotic system for autonomous aero-engine blade weighing. The proposed system presents a novel end-effector design incorporating a high-precision load cell for accurate and rapid weighing coupled with an imaging sensor for autonomous robotic perception capabilities. The system is tested in industrial settings, and the results show a high weighing precision and accuracy of 0.0404 g and of 0.0252 g, respectively. Our system offers the advantage of seamless integration into existing industrial setups without the need for facility reconfiguration. Video Link.
Competing Interests: Declarations. Competing interests: The authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
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