Vision-guided robotic system for aero-engine inspection and dynamic balancing
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 mas...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-80540-w |
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| _version_ | 1846101246541299712 |
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| author | Mohammed Ramadan Abdelrahman Youssef Abdulla Ayyad Laith AbuAssi Oussama Abdul Hay Mohammed Salah Brain Moyo Yahya Zweiri Yusra Abdulrahman |
| author_facet | Mohammed Ramadan Abdelrahman Youssef Abdulla Ayyad Laith AbuAssi Oussama Abdul Hay Mohammed Salah Brain Moyo Yahya Zweiri Yusra Abdulrahman |
| author_sort | Mohammed Ramadan |
| collection | DOAJ |
| description | 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 |
| format | Article |
| id | doaj-art-23cf1bec9ddb469daffee082ee3497b2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-23cf1bec9ddb469daffee082ee3497b22024-12-29T12:18:49ZengNature PortfolioScientific Reports2045-23222024-12-0114111610.1038/s41598-024-80540-wVision-guided robotic system for aero-engine inspection and dynamic balancingMohammed Ramadan0Abdelrahman Youssef1Abdulla Ayyad2Laith AbuAssi3Oussama Abdul Hay4Mohammed Salah5Brain Moyo6Yahya Zweiri7Yusra Abdulrahman8Advanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyResearch and Development, SanadAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAdvanced Research and Innovation Center (ARIC), Khalifa University of Science and TechnologyAbstract 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 Linkhttps://doi.org/10.1038/s41598-024-80540-w |
| spellingShingle | Mohammed Ramadan Abdelrahman Youssef Abdulla Ayyad Laith AbuAssi Oussama Abdul Hay Mohammed Salah Brain Moyo Yahya Zweiri Yusra Abdulrahman Vision-guided robotic system for aero-engine inspection and dynamic balancing Scientific Reports |
| title | Vision-guided robotic system for aero-engine inspection and dynamic balancing |
| title_full | Vision-guided robotic system for aero-engine inspection and dynamic balancing |
| title_fullStr | Vision-guided robotic system for aero-engine inspection and dynamic balancing |
| title_full_unstemmed | Vision-guided robotic system for aero-engine inspection and dynamic balancing |
| title_short | Vision-guided robotic system for aero-engine inspection and dynamic balancing |
| title_sort | vision guided robotic system for aero engine inspection and dynamic balancing |
| url | https://doi.org/10.1038/s41598-024-80540-w |
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