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

Mohammed Ramadan¹, Abdelrahman Youssef¹, Abdulla Ayyad¹

¹Advanced Research and Innovation Center (ARIC), Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.

Scientific Reports

|December 27, 2024

Summary

Automating aero-engine blade weighing is now possible with a new vision-guided robotic system. This innovation ensures high precision and accuracy for critical aircraft inspection tasks.

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Area of Science:

Robotics and Automation
Aerospace Engineering
Manufacturing Technology

Background:

Manual weighing of aero-engine blades is critical for mass inspection and dynamic balancing but remains a challenge.
Existing automation in aircraft inspection has not fully addressed the complexities of blade weighing.
Intricate blade geometry and high precision requirements hinder manual process automation.

Purpose of the Study:

To introduce a novel vision-guided robotic system for autonomous aero-engine blade weighing.
To overcome the challenges associated with manual weighing processes in the aerospace industry.
To develop a system that integrates robotic perception and high-precision weighing.

Main Methods:

Development of a unique end-effector integrating a high-precision load cell and an imaging sensor.
Implementation of a vision-guided robotic system for autonomous perception and weighing.
Testing and validation of the system in industrial environments.

Main Results:

The system achieved a weighing precision of 0.0404 g.
The system demonstrated a weighing accuracy of 0.0252 g.
The robotic system offers seamless integration into existing industrial setups without reconfiguration.

Conclusions:

The developed vision-guided robotic system successfully automates aero-engine blade weighing.
The system meets stringent precision and accuracy requirements for aerospace applications.
This innovation facilitates easier integration into current manufacturing facilities.