Robotic Boreblending: The Future of In-Situ Gas Turbine Repair

Alatorre, David; Nasser, Bilal; Rabani, Amir; Nagy-Sochacki, Adam; Dong, Xin; Axinte, Dragos; Kell, James

Abstract

© 2018 IEEE. Automation of inspection and repair tasks on complex installations is gaining attention from industries with high-value assets such as aerospace, nuclear and marine. This paper reports on a five degrees of freedom robotic system capable of performing accurate and repeatable repair procedures through a narrow inspection port, which minimizes the cost and downtime associated with unscheduled maintenance. Careful study of the target working volume and repair process informed the design of a robotic probe capable of replicating the operation. Kinematic analysis of the robot's flexible, prismatic and rotary joints was used to define accurate machining paths in 3D space, and the results were verified using an optical motion capture system (accuracy of 0.25 mm). After comprehensive verifications of the constitutive elements, the robotic system was successfully demonstrated for repair of a high-pressure compressor aerofoil in a gas turbine. The results not only proves the ability of the system to address such difficult repair scenarios but also highlights a domain of opportunities in developing specialist robotics for repair of high-value assets, which is a subject to growing global demand.

Citation

Alatorre, D., Nasser, B., Rabani, A., Nagy-Sochacki, A., Dong, X., Axinte, D., & Kell, J. (2018, October). Robotic Boreblending: The Future of In-Situ Gas Turbine Repair. Presented at 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• Start Date: Oct 1, 2018
• End Date: Oct 5, 2018
• Acceptance Date: Jun 29, 2018
• Online Publication Date: Jan 7, 2019
• Publication Date: Oct 5, 2018
• Deposit Date: Nov 26, 2019
• Publicly Available Date: Nov 26, 2019
• Pages: 1401-1406
• Series Title: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• Series ISSN: 2153-0858
• Book Title: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• ISBN: 9781538680940
• DOI: https://doi.org/10.1109/IROS.2018.8594155
• Public URL: https://nottingham-repository.worktribe.com/output/2550844
• Publisher URL: https://ieeexplore.ieee.org/document/8594155
• Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
• Contract Date: Nov 26, 2019