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用于航空发动机检查和动平衡的视觉引导机器人系统。

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

作者信息

Ramadan Mohammed, Youssef Abdelrahman, Ayyad Abdulla, AbuAssi Laith, Hay Oussama Abdul, Salah Mohammed, Moyo Brain, Zweiri Yahya, Abdulrahman Yusra

机构信息

Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

Research and Development, Sanad, Abu Dhabi, United Arab Emirates.

出版信息

Sci Rep. 2024 Dec 28;14(1):30742. doi: 10.1038/s41598-024-80540-w.

DOI:10.1038/s41598-024-80540-w
PMID:39730477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11681010/
Abstract

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.

摘要

第四次工业革命见证了众多飞机检查任务自动化方面的重大进展。然而，某些关键程序仍依赖人工执行，包括航空发动机叶片称重过程。此任务对于叶片质量检查和发动机动平衡至关重要。然而，由于发动机叶片复杂的几何形状以及对精度的严格要求，航空发动机叶片称重的自动化仍然是一项挑战。为了填补这一空白，本文首次介绍了一种用于自主航空发动机叶片称重的视觉引导机器人系统。所提出的系统呈现了一种新颖的末端执行器设计，该设计结合了一个高精度称重传感器以进行精确快速的称重，并配备了一个成像传感器以实现自主机器人感知能力。该系统在工业环境中进行了测试，结果显示称重精度分别高达0.0404克和0.0252克。我们的系统具有无需设施重新配置即可无缝集成到现有工业装置中的优势。视频链接。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c026/11681010/c116d3722370/41598_2024_80540_Fig14_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c026/11681010/55f0953f5673/41598_2024_80540_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c026/11681010/5d253a4a5596/41598_2024_80540_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c026/11681010/d127473b69be/41598_2024_80540_Figa_HTML.jpg
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