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

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-12-28
DOI
https://doi.org/10.1038/s41598-024-80540-w
Citations
10
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
12.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mohammed Salah, Mohamed A. Ramadan, Yahya Zweiri, Laith AbuAssi et al.
10 citations
Scientific Reports
Robotics and Sensor-Based Localization
12.99
article

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

Mohammed Salah, Mohamed A. Ramadan, Yahya Zweiri, Laith AbuAssi, Yusra Abdulrahman, Abdelrahman Youssef, Oussama Abdul Hay, Abdulla Ayyad, Brain Moyo
article en
10 citations

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.

Scientific ReportsVol. 14(1)
Khalifa University of Science and Technology (AE)
Khalifa University of Science, Technology and Research
Affordable and clean energy
Openalex Percentile: Top 2%
Robotics and Sensor-Based Localization
12.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.