A sensor enabled robotic strategy for automated defect-free multi-pass high-integrity welding
Loukas, Charalampos and Warner, Veronica and Jones, Richard and MacLeod, Charles N. and Vasilev, Momchil and Mohseni, Ehsan and Dobie, Gordon and Sibson, Jim and Pierce, Stephen G. and Gachagan, Anthony (2022) A sensor enabled robotic strategy for automated defect-free multi-pass high-integrity welding. Materials and Design, 224. 111424. ISSN 0261-3069 (https://doi.org/10.1016/j.matdes.2022.111424)
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Abstract
High-integrity welds found in safety–critical industries require flaw-free joints, but automation is challenging due to low-volume, often-unique nature of the work, alongside high-uncertainty part-localisation. As such, robotic welding still requires tedious manually taught paths or offline approaches based on nominal Computer-Aided-Design (CAD). Optical and laser sensors are commonly deployed to provide online adjustment of pre-defined paths within controlled environments. This paper presents a sensor-driven approach for defect-free welding, based on the as-built joint geometry alongside the requirement for no-accurate part localisation or CAD knowledge. The approach a) autonomously localises the specimen in the scene without CAD requirement, b) adapts and generates accurate welding paths unique to the as-built workpiece and c) generates robot kinematics based on an external-control strategy. The proposed approach is validated through experiments of unconstrained placed joints, where the increased accuracy of the generated welding paths, with no common seam tracking, is validated with an average error of 0.12 mm, 0.4°. Coupling with a multi-pass welding framework, the deployment of fully automated robotic arc welding takes place for different configurations. Non-Destructive-Testing (NDT) in the form of Ultrasound-Testing (UT) inspection validates the repeatable and flaw-free nature of the sensory-driven approach, exploiting direct benefits in quality alongside reduced re-work.
ORCID iDs
Loukas, Charalampos ORCID: https://orcid.org/0000-0002-3465-8076, Warner, Veronica, Jones, Richard, MacLeod, Charles N. ORCID: https://orcid.org/0000-0003-4364-9769, Vasilev, Momchil, Mohseni, Ehsan ORCID: https://orcid.org/0000-0002-0819-6592, Dobie, Gordon ORCID: https://orcid.org/0000-0003-3972-5917, Sibson, Jim, Pierce, Stephen G. ORCID: https://orcid.org/0000-0003-0312-8766 and Gachagan, Anthony ORCID: https://orcid.org/0000-0002-9728-4120;-
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Item type: Article ID code: 83446 Dates: DateEvent31 December 2022Published25 November 2022Published Online22 November 2022AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering > Electrical apparatus and materials Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Advanced Manufacturing and Materials
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 06 Dec 2022 14:52 Last modified: 11 Nov 2024 13:43 URI: https://strathprints.strath.ac.uk/id/eprint/83446